CN108718251A - Information Network connectivity analysis methods based on resource time-varying figure - Google Patents

Information Network connectivity analysis methods based on resource time-varying figure Download PDF

Info

Publication number
CN108718251A
CN108718251A CN201810442297.5A CN201810442297A CN108718251A CN 108718251 A CN108718251 A CN 108718251A CN 201810442297 A CN201810442297 A CN 201810442297A CN 108718251 A CN108718251 A CN 108718251A
Authority
CN
China
Prior art keywords
arc
varying
node
resource
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810442297.5A
Other languages
Chinese (zh)
Other versions
CN108718251B (en
Inventor
刘润滋
朱乙婷
盛敏
李建东
吴伟华
张琰
刘俊宇
周笛
朱彦
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xidian University
Original Assignee
Xidian University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xidian University filed Critical Xidian University
Priority to CN201810442297.5A priority Critical patent/CN108718251B/en
Publication of CN108718251A publication Critical patent/CN108718251A/en
Application granted granted Critical
Publication of CN108718251B publication Critical patent/CN108718251B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0811Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking connectivity

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Radio Relay Systems (AREA)

Abstract

The present invention proposes a kind of Information Network connectivity analysis methods based on resource time-varying figure, it aims to solve the problem that the prior art existing technical problem relatively low because of the connectivity analysis accuracy caused by the relevance not accounted between path when weighing network connectivty, realizes that step is:Build the resource time-varying figure G of Information NetworkT(V,A);Definition space information network connectivity index;Based on resource time-varying figure GTThe connectivity of (V, A) analysis space information network.The present invention obtains the relevance parameter between nonintersecting paths number, time slot length of window and nonintersecting paths in Information Network using resource time-varying figure, can more fine granularity weighbridge quantity space information network connectivity, the accuracy for improving Information Network connectivity analysis can be used for assessing the design of Information Network connectivity and guiding space information network.

Description

Information Network connectivity analysis methods based on resource time-varying figure
Technical field
The invention belongs to Spatial Information Technology fields, are related to a kind of analysis method of Information Network connectivity, especially It is related to a kind of Information Network connectivity analysis methods based on resource time-varying figure, can be used for assessing Information Network connection The design of property and guiding space information network.
Background technology
Resource time-varying figure be one kind can between Information Network node at any time continually changing connected relation into The multilayer digraph of row characterization.It constructs thinking:The cycle of operation of Information Network is evenly dividing;Initialization is more than one Layer digraph;According to the communication range of the node set of Information Network and each node, section is added into multilayer digraph Point and different resource arc;Multilayer digraph is the resource time-varying figure of Information Network.
Information Network be with space platform (such as synchronous satellite or in, low-orbit satellite and someone or unmanned fly Machine etc.) it is carrier, it obtains in real time, the network system of transmission and processing space information.At the node in Information Network Among high-speed motion, network topology often has the characteristics that change over time, discontinuously be connected to, therefore Information Network is One kind of state network.And satellite node generally use storage-carrying-forwarding rather than the mode of storage-forwarding transmits number According to.Compared with traditional ground network, Information Network has broad covered area, networking flexibility, limit etc. and dashed forward by geographical environment Go out feature, so as to ensure high rate data transmission and provide wider bandwidth, supports flexible, large-scale network structure.Closely Nian Lai, Information Network play increasingly important role at many aspects.
Connectivity is as an important indicator for weighing the communication capacity after communication network is interfered, the planning to network It is of great significance with optimization.Network is divided into static network and dynamic network according to whether network topology changes over time, because Be likely between dynamic network node there is no the mode of real-time communication link and generally use storage-carrying-forwarding into A period of time is usually crossed in row data transmission, the path in dynamic network.In traditional dynamic network connectivity analysis, if Within given time, the source node in dynamic network and between destination node there are a space-time path, then claim node it Between have connectivity.Connectivity analysis in conventional dynamic network only considered whether there is between given time range interior nodes Path, in no quantitative analysis dynamic network between source node and destination node path number, lead to dynamic network connectivity The accuracy of analysis is relatively low.
In view of the above-mentioned problems, application publication number is CN 104917650A, it is entitled " reachable when a kind of sky for challenging network Property analysis method " patent application in, disclose it is a kind of challenge network sky when analysis method of reachability.It is also one to challenge network The dynamic network that kind network topology changes over time, the method overcome conventional dynamic Connectivity analysis of network methods can not be accurate The deficiency of network communication performance is challenged in quantitative analysis.This method is changed static network connection figure by introducing time dimension For the network changed over time, proposing more traditional " connectivity " more wide in range message on basis herein " can when n skies Up to property " concept and analyzed.This method considers path number and time range, improves the connectivity of dynamic network The accuracy of analysis.But it has a defect that the relevance between not accounting for path, is deposited among the nodes in dynamic network Link may lead to the not available situation within continuous a period of time due to breaking down, and lead to the connectivity point of dynamic network The accuracy of analysis is still relatively low.
Invention content
It is an object of the invention to overcome the problems of the above-mentioned prior art, it is proposed that a kind of based on resource time-varying figure Information Network connectivity analysis methods, it is existing because not examining when weighing network connectivty for solving the prior art Consider the relatively low technical problem of connectivity analysis accuracy caused by the relevance between path.
The present invention technical thought be:Using resource time-varying figure by the dynamic topology of Information Network multilayer digraph It indicates, has considered nonintersecting paths number k, time slot length of window L and the non-phase in Information Network on this basis Relevance parameter n between cross-channel diameter proposes (k, n, L) connectivity index of Information Network, and further with graph theory phase It closes algorithm to analyze connectivity index, reflect in the multiple time slots of arbitrary continuation, network is by logical after lasting interference Letter ability provides quantitative analysis method for the connectivity measurement of Information Network.
According to above-mentioned technical thought, realize that the technical solution that the object of the invention is taken includes the following steps:
(1) the resource time-varying figure G of Information Network is builtT(V,A):
By the cycle of operation [0, T of Information Networktotal] T isometric time slots are divided into, and according to obtained space The time slot sets Γ of information network and the communication range of satellite set CS and each satellite node construct Information Network Resource time-varying figure GT(V, A), wherein and Γ={ 1 ..., T }, T ∈ [2, ∞), CS={ cs1,cs2,...,csi,...csM, M For the total number of Information Network Satellite, csiIndicate that i-th of satellite node, i ∈ [1, M], V are CS in each time slot Copy composition set, A be include storage arc set As, transmission arc set AtWith auxiliary arc set ArThe resource arc collection of composition It closes;
(2) definition space information network connectivity index:
(2a) defines resource time-varying figure GTPath in (V, A):
By resource time-varying figure GTThe definition in path is that N items are end to end between source node s and destination node d in (V, A) The sequence J of resource arc composition:J={ e1,e2,...,ei,ei+1,...,eN, wherein ei∈ A, N ∈ [1, ∞), start (e1)= S, end (eN)=d, start (ei+1)=end (ei), start (ei) and end (ei) respectively represent resource arc eiStart node and Terminal node;
(2b) defines resource time-varying figure GTN nonintersecting paths in (V, A):
Assuming that resource time-varying figure GTPresence is formed from source node s to the path of destination node d by several in (V, A) Set, and arbitrary two paths J in the set1And J2Meet correlation (J1,J2)=min { d (e1,e2),Then all paths in the set are referred to as n disjoint, wherein N is the relevance parameter of nonintersecting paths, if two paths are n not phases Hand over, then this two paths in continuous n time slot all without use same satellite node between link, when certain link because of When cloud cover or failure cause continuous n time slot unavailable, a paths can at most be made to fail;
(2c) definition is based on resource time-varying figure GTThe Information Network connectivity index of (V, A):
Assuming that resource time-varying figure GTIn (V, A) there is k items in source node s and destination node d in L time slot of arbitrary continuation N nonintersecting paths, then by (k, n, L) connectivity as Information Network connectivity index, wherein k is source node s and purpose The number of node d existing n nonintersecting paths in L time slot of arbitrary continuation, n nonintersecting paths can be carried out at the same time data biography Defeated, L is time slot length of window, and numerical value is equal with the average number of time slot of data transmission, and L≤T;
(3) it is based on resource time-varying figure GTThe connectivity of (V, A) analysis space information network:
(3a) initiation parameter:
According to network actual scene and analysis demand, to the relevance parameter n and time slot length of window L of nonintersecting paths into Row initialization, and judge whether n is equal to 1, if so, step (3b) is executed, it is no to then follow the steps (3c);
The connectivity index of (3b) analysis space information network:
(3b1) initiation parameter:
If iterations are t and are initialized as t=1, the number k of 1 nonintersecting paths1=∞;
Resource time-varying figure G is arranged in (3b2)TThe capacity of (V, A) resource arc:
Resource time-varying figure G is setTThe capacity of each storage arc and each auxiliary arc is ∞, each in (V, A) The capacity for transmitting arc is 1;
(3b3) computing resource time-varying figureMax-flow k' between middle source node s and destination node d1
Using augmenting path algorithm, pass through resource time-varying figureThe capacity of middle resource arc calculatesMiddle source section Max-flow is k' between point s and destination node d1, whereinIndicate GTSlot range is [t, t+L-1] institute in (V, A) The resource time-varying figure of composition;
(3b4) judges k'1< k1It is whether true, if so, enabling k1=k'1, otherwise t=t+1 enables t=t+1;
(3b5) judges whether current iteration number t > T-L+1 are true, if so, Information Network has (k1,1,L) Connectivity, it is no to then follow the steps (3b3);
The connectivity index of (3c) analysis space information network:
(3c1) initiation parameter:
If iterations are t' and are initialized as t'=1, n nonintersecting paths numbers kn=∞;
(3c2) is to resource time-varying figureMiddle resource arc carries out weight assignment:
Resource time-varying figure is setThe weight of middle each storage arc and each auxiliary arc is 0, each Transmit arcWeight be in n time slot window with transmission arc e using same satellite inter-node link biography The size of defeated arc set, i.e.,Wherein,For GTSlot range in (V, A) For the resource time-varying figure that [t', t'+T-1] is constituted, if resource time-varying figureBetween middle source node s and destination node d Resource arc weight and the number of minimal path are k'n, and initialize k'n=0;
(3c3) judges resource time-varying figure according to breadth first traversal algorithmMiddle source node s and destination node d are It is no that there are paths, if so, step (3c4) is executed, it is no to then follow the steps (3c5);
(3c4) computing resource time-varying figureResource arc weight and minimal path between middle source node s and destination node d Diameter, and update
Using Dijkstra shortest path firsts, computing resource time-varying figureMiddle source node s and destination node d it Between resource arc weight and minimal path, and by each for including in minimal path transmit arcWith at n The transmission arc of same satellite inter-node link is used in gap window with transmission arc e'From Middle deletion, enables k'n=k'n+ 1, execute step (3c3);
(3c5) judges k'n< knIt is whether true, if so, enabling kn=k'n, otherwise t'=t'+1 enables t'=t'+1;
(3c6) judges whether current iteration number t'> T-L+1 are true, if so, Information Network has (kn,n, L) connectivity, it is no to then follow the steps (3c2).
Compared with prior art, the present invention having the following advantages that:
The present invention obtains nonintersecting paths number k, time slot length of window L in Information Network using resource time-varying figure And the relevance parameter n between nonintersecting paths, it proposes (k, n, L) the connectivity index of Information Network and is analyzed, Can more fine granularity weighbridge quantity space information network connectivity be effectively improved Information Network compared with prior art The accuracy of connectivity analysis.
Description of the drawings
Fig. 1 is the implementation flow chart of the present invention;
Fig. 2 is the resource time-varying figure of Information Network in the embodiment of the present invention;
Fig. 3 is the path profile in resource time-varying figure between source node and destination node in the embodiment of the present invention;
Fig. 4 is 2 nonintersecting paths figures in resource time-varying figure in the embodiment of the present invention.
Specific implementation mode
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail, and embodiment is merely to illustrate the present invention, Do not constitute any limitation of the invention.
Referring to Fig.1, a kind of Information Network connectivity analysis methods based on resource time-varying figure, include the following steps:
Step 1) builds the resource time-varying figure G of Information Network4(V,A):
Consider that the Information Network being made of 4 satellites, satellite set are denoted as CS={ cs1,cs2,cs3,cs4, source is defended Star node is cs1, purpose satellite node be cs4If the cycle of operation of the network is [0,4 τ], 4 etc. will be divided into the cycle of operation Long time slot obtains time slot sets Γ={ 1,2,3,4 } of Information Network, according to satellite set CS, time slot sets Γ with And the communication range of each satellite node, construct the resource time-varying figure G of Information Network4(V,A);
Step 1a) initialization:
By the resource time-varying figure G of Information Network to be constructed4(V, A) is initialized as 4 layers of digraph of a blank, Wherein, V is the set of copy compositions of the CS in each time slot, A be include storage arc set As, transmission arc set AtAnd auxiliary Arc set ArThe resource arc set of composition enables
Step 1b) into 4 layers of digraph add node:
All satellite nodes in satellite set CS are traversed, to each satellite node csi∈ CS, into T layers of digraph Add nodeWherein,In l layers of digraph, node set is updated
Step 1c) the addition transmission arc A into 4 layers of digrapht
All satellite nodes in satellite set CS are traversed to csi,csj∈ CS, csi≠csj, according to defending in ephemeris The communication range of star trails and satellite node it is found thatWithWithWithWithWith WithWithWithWithWithWithMutually in communication range, therefore, at 4 layers Addition transmission arc in digraph Resource arc is undirected arc, more new resources arc set A=A ∪ At
Step 1d) the addition storage arc A into 4 layers of digraphs
All satellite nodes in satellite set CS are traversed, to each satellite node csi∈ CS, in T layers of digraph The cs of all adjacent layersiBetween addition storage arc Storage arc is directed arc, more new resources arc set A=A ∪ As
Step 1e) source node s and destination node d is added into 4 layers of digraph:
The middle addition source node s and destination node d in 4 layers of digraph, update node set V=V ∪ { s, d };
Step 1f) the addition auxiliary arc A into 4 layers of digraphr
To source node s and source satellite node cs1Copy in 4 layers of digraph in all time slotsIt Between and purpose satellite node cs4Copy in 4 layers of digraph in all time slotsWith destination node d it Between, addition auxiliary arc It is directed arc to assist arc, more new resources arc set A=A ∪ Ar, the T layer digraphs added with node and resource arc are space letter Cease the resource time-varying figure G of network4(V, A), as shown in Fig. 2, solid line therein, dotted line and dotted line respectively represent resource time-varying figure G4Storage arc, transmission arc in (V, A) and auxiliary arc;
Step 2) definition space information network connectivity index:
Step 2a) define resource time-varying figure G4Path in (V, A):
Because link in Information Network has a discontinuously connection characteristic, therefore the path in Information Network can be with Across multiple time slots, the path in corresponding resource time-varying figure can be with spanning multilayer.Based on above-mentioned property, by resource time-varying figure G4 The definition in path is the sequence J of the end to end resource arc composition of N items between source node s and destination node d in (V, A):J= {e1,e2,...,ei,ei+1,...,eN, wherein ei∈ A, N ∈ [1, ∞), start (e1)=s, end (eN)=d, start (ei+1)=end (ei), start (ei) and end (ei) respectively represent resource arc eiStart node and terminal node, in Fig. 3 That heavy solid line arrows indicate is resource time-varying figure G4A paths in (V, A) between source node s and destination node d
Step 2b) define resource time-varying figure G4N nonintersecting paths in (V, A):
Assuming that resource time-varying figure G4There is the set formed from source node s to the path of destination node d by several in (V, A), And arbitrary two paths J in the set1And J2MeetThen claim the institute active node s in the set It is that n is disjoint to the path between destination node d, whereinn For the relevance parameter of nonintersecting paths.If two paths are n disjoint, this two paths in continuous n time slot all The link between same satellite node is not used, when certain link because cloud cover or failure cause continuous n time slot can not Used time can at most make a paths fail.In Fig. 4, two paths represented by heavy solid line arrows WithIt is 2 disjoint;
Step 2c) it defines based on resource time-varying figure G4The Information Network connectivity index of (V, A):
Assuming that resource time-varying figure G4In (V, A) there is k items in source node s and destination node d in L time slot of arbitrary continuation N nonintersecting paths, then by (k, n, L) connectivity as Information Network connectivity index, wherein k is source node s and purpose The number of node d existing n nonintersecting paths in L time slot of arbitrary continuation, n nonintersecting paths can be carried out at the same time data biography Defeated, L is time slot length of window, and numerical value is equal with the average number of time slot of data transmission, and L≤T.If Information Network With (k, n, L) connectivity, k n nonintersecting paths simultaneous transmission can be used in the L time slot since any time slot simultaneously Data, and when the continuous n time slot of certain link is unavailable, still can be transmitted using remaining k-1 paths, space letter The connectivity of breath network is protected;
Step 3) is based on resource time-varying figure G4The connectivity of (V, A) analysis space information network:
Step 3a) initiation parameter:
According to network actual scene and analysis demand, to the relevance parameter n and time slot length of window L of nonintersecting paths into Row initialization, n can take 1 or be more than 1 any integer.In the present embodiment, analysis space information network is respectively 1 in L=3, n Step (3b) is executed when n is equal to 1 with the connectivity in the case of 2 two kinds, when n is equal to 2, executes step (3c);
Step 3b) analysis space information network connectivity index:
Step 3b1) initiation parameter:
If iterations are t and are initialized as t=1, the number k of 1 nonintersecting paths1=∞;
Step 3b2) setting resource time-varying figure G4The capacity of (V, A) resource arc:
Resource time-varying figure G is set4Arc is stored in (V, A) With auxiliary arcCapacity be ∞, transmit arc Capacity be 1;
Step 3b3) computing resource time-varying figureMax-flow k' between middle source node s and destination node d1
Using augmenting path algorithm, pass through resource time-varying figureThe capacity of middle resource arc calculatesMiddle source section Max-flow is k' between point s and destination node d1=4, whereinIndicate G4Slot range is [1,3] institute structure in (V, A) At resource time-varying figure;
Step 3b4) k'1< k1It sets up, enables k1=k'1=4, t=t+1=2;
Step 3b5) current iteration number t > 2 are invalid, execute step 3b6);
Step 3b6) computing resource time-varying figureMax-flow k' between middle source node s and destination node d1
Using augmenting path algorithm, pass through resource time-varying figureThe capacity of middle resource arc calculatesMiddle source section Max-flow k' between point s and destination node d1=3, whereinIndicate G4Slot range is constituted by [2,4] in (V, A) Resource time-varying figure;
Step 3b7) k'1< k1It sets up, enables k1=k'1=3, t=t+1=3;
Step 3b8) establishments of current iteration number t > 2, then Information Network is with (3,1,3) connectivity;
Step 3c) analysis space information network connectivity index:
Step 3c1) initiation parameter:
If iterations are t' and are initialized as t'=1,2 nonintersecting paths number k2=∞;
Step 3c2) to resource time-varying figureMiddle resource arc carries out weight assignment:
Resource time-varying figure is setMiddle storage arc With auxiliary arc 's Weight is 0, and each transmits arcWeight be in n time slot window with transmit arc e defended using identical The size of the transmission arc set of star inter-node link, i.e.,Therefore, It passes Defeated arc weight is bigger, illustrates that the influence that this transmission arc generates other transmission arcs is bigger.For G4Time slot in (V, A) The resource time-varying figure that ranging from [1,3] is constituted, if resource time-varying figureResource between middle source node s and destination node d Arc weight and the number of minimal path are k'2, and initialize k'2=0;
Step 3c3) resource time-varying figure obtained according to breadth first traversal algorithmMiddle source node s and destination node d Between there are path, execute step 3c4);
Step 3c4) computing resource time-varying figureResource arc weight and minimum between middle source node s and destination node d Path, and update
Using Dijkstra shortest path firsts, resource time-varying figure is calculatedMiddle source node s and destination node d Between resource arc weight and minimal path beFor the transmission arc for including in minimal pathSince there is no in 2 time slot windows with transmission arcUse the transmission arc of same satellite inter-node linkOnly need byFromMiddle deletion, enables k'2=k'2+ 1=1 executes step 3c5);
Step 3c5) resource time-varying figure obtained according to breadth first traversal algorithmMiddle source node s and destination node d Between there are path, execute step 3c6);
Step 3c6) computing resource time-varying figureResource arc weight and minimum between middle source node s and destination node d Path, and update
Using Dijkstra shortest path firsts, resource time-varying figure is calculatedMiddle source node s and destination node d Between resource arc weight and minimal path beThe transmission arc that will include in minimal pathWithAnd in 2 time slot windows withWithUse same satellite inter-node link Transmission arcFromMiddle deletion, enables k'2=k'2+ 1=2 executes step 3c7);
Step 3c7) resource time-varying figure obtained according to breadth first traversal algorithmMiddle source node s and destination node d Between there are path, execute step 3c8);
Step 3c8) computing resource time-varying figureResource arc weight and minimum between middle source node s and destination node d Path, and update
Using Dijkstra shortest path firsts, resource time-varying figure is calculatedMiddle source node s and destination node d Between resource arc weight and minimal path beThe transmission arc that will include in minimal pathWithAnd in 2 time slot windows withWithUse same satellite inter-node link Transmission arcWithFromMiddle deletion, enables k'2=k'2+ 1=3 executes step 3c9);
Step 3c9) resource time-varying figure obtained according to breadth first traversal algorithmMiddle source node s and destination node d There is no paths, execute step 3c10);
Step 3c10) k'2< k2It sets up, enables k2=k'2=3, t'=t'+1=2;
Step 3c11) current iteration number t'> 2 is invalid, execute step 3c12);
Step 3c12) to resource time-varying figureMiddle resource arc carries out weight assignment:
Resource time-varying figure is setMiddle storage arc With auxiliary arc Weight be 0, each transmit arcWeight be in n time slot window with transmission arc e use same satellite The size of the transmission arc set of inter-node link, i.e.,Therefore, Transmission arc weight is bigger, illustrates that the influence that this transmission arc generates other transmission arcs is bigger.For G4When in (V, A) The resource time-varying figure that gap ranging from [2,4] is constituted, if resource time-varying figureIt is provided between middle source node s and destination node d Source arc weight and the number of minimal path are k'2, and initialize k'2=0;
Step 3c13) resource time-varying figure obtained according to breadth first traversal algorithmMiddle source node s and destination node There are paths between d, execute step 3c14);
Step 3c14) computing resource time-varying figureResource arc weight and most between middle source node s and destination node d Small path, and update
Using Dijkstra shortest path firsts, resource time-varying figure is calculatedMiddle source node s and destination node d Between resource arc weight and minimal path beFor the transmission arc for including in minimal pathWithSince there is no in 2 time slot windows with transmission arcWithUse phase With the transmission arc of link between satellite nodeTherefore only need byWithFromMiddle deletion, enables k'2=k'2+ 1=1 executes step 3c15);
Step 3c15) resource time-varying figure obtained according to breadth first traversal algorithmMiddle source node s and destination node There are paths between d, execute step 3c16);
Step 3c16) computing resource time-varying figureResource arc weight and most between middle source node s and destination node d Small path, and update
Using Dijkstra shortest path firsts, resource time-varying figure is calculatedMiddle source node s and destination node d Between resource arc weight and minimal path beThe transmission arc that will include in minimal pathWithAnd in 2 time slot windows with transmission arcWithUse same satellite The transmission arc of inter-node linkWithFromMiddle deletion, enables k'2=k'2+ 1=2 executes step 3c17);
Step 3c17) resource time-varying figure obtained according to breadth first traversal algorithmMiddle source node s and destination node Path is not present between d, executes step 3c18);
Step 3c18) k'2< k2It sets up, enables k2=k'2=2, t'=t'+1=3;
Step 3c19) establishments of current iteration number t'> 2, then Information Network is with (2,2,3) connectivity.
Above description is only example of the present invention, it is clear that for those skilled in the art, is being understood After the content of present invention and principle, all it may be carried out in form and details without departing substantially from the principle of the invention, structure Various modifications and variations, but these modifications and variations based on inventive concept are still in the claims of the present invention Within.

Claims (2)

1. a kind of Information Network connectivity analysis methods based on resource time-varying figure, it is characterised in that include the following steps:
(1) the resource time-varying figure G of Information Network is builtT(V,A):
By the cycle of operation [0, T of Information Networktotal] T isometric time slots are divided into, and according to obtained spatial information The time slot sets Γ of network and the communication range of satellite set CS and each satellite node, construct the money of Information Network Source time-varying figure GT(V, A), wherein and Γ={ 1 ..., T }, T ∈ [2, ∞), CS={ cs1,cs2,...,csi,...csM, M is sky Between information network Satellite total number, csiIndicate that i-th of satellite node, i ∈ [1, M], V are pairs of the CS in each time slot The set of this composition, A be include storage arc set As, transmission arc set AtWith auxiliary arc set ArThe resource arc set of composition;
(2) definition space information network connectivity index:
(2a) defines resource time-varying figure GTPath in (V, A):
By resource time-varying figure GTThe definition in path is the end to end resource arc of N items between source node s and destination node d in (V, A) The sequence J of composition:J={ e1,e2,...,ei,ei+1,...,eN, wherein ei∈ A, N ∈ [1, ∞), start (e1)=s, end (eN)=d, start (ei+1)=end (ei), start (ei) and end (ei) respectively represent resource arc eiStart node and termination Node;
(2b) defines resource time-varying figure GTN nonintersecting paths in (V, A):
Assuming that resource time-varying figure GTThere is the set formed from source node s to the path of destination node d by several in (V, A), And arbitrary two paths J in the set1And J2MeetThen All paths in the set are referred to as n disjoint, wherein N is the relevance parameter of nonintersecting paths, if two paths are n disjoint, this two paths is in continuous n time slot All without using the link between same satellite node, when certain link because cloud cover or failure lead to continuous n time slot When unavailable, a paths can at most be made to fail;
(2c) definition is based on resource time-varying figure GTThe Information Network connectivity index of (V, A):
Assuming that resource time-varying figure GTIn (V, A) there is k n not phases in source node s and destination node d in L time slot of arbitrary continuation Cross-channel diameter, then by (k, n, L) connectivity as Information Network connectivity index, wherein k is source node s and destination node d The number of existing n nonintersecting paths, n nonintersecting paths can be carried out at the same time data transmission, L in L time slot of arbitrary continuation For time slot length of window, numerical value is equal with the average number of time slot of data transmission, and L≤T;
(3) it is based on resource time-varying figure GTThe connectivity of (V, A) analysis space information network:
(3a) initiation parameter:
According to network actual scene and analysis demand, relevance parameter n and time slot length of window L to nonintersecting paths are carried out just Beginningization, and judge whether n is equal to 1, if so, step (3b) is executed, it is no to then follow the steps (3c);
The connectivity index of (3b) analysis space information network:
(3b1) initiation parameter:
If iterations are t and are initialized as t=1, the number k of 1 nonintersecting paths1=∞;
Resource time-varying figure G is arranged in (3b2)TThe capacity of (V, A) resource arc:
Resource time-varying figure G is setTThe capacity of each storage arc and each auxiliary arc is ∞ in (V, A), and each transmits arc Capacity be 1;
(3b3) computing resource time-varying figureMax-flow k between middle source node s and destination node d1':
Using augmenting path algorithm, pass through resource time-varying figureThe capacity of middle resource arc calculatesMiddle source node s and Max-flow is k between destination node d1', whereinIndicate GTSlot range is that [t, t+L-1] is constituted in (V, A) Resource time-varying figure;
(3b4) judges k1' < k1It is whether true, if so, enabling k1=k1', otherwise t=t+1 enables t=t+1;
(3b5) judges whether current iteration number t > T-L+1 are true, if so, Information Network has (k1, 1, L) and connection Property, it is no to then follow the steps (3b3);
The connectivity index of (3c) analysis space information network:
(3c1) initiation parameter:
If iterations are t' and are initialized as t'=1, n nonintersecting paths numbers kn=∞;
(3c2) is to resource time-varying figureMiddle resource arc carries out weight assignment:
Resource time-varying figure is setThe weight of middle each storage arc and each auxiliary arc is 0, and each transmits arcWeight be in n time slot window with transmission arc e using same satellite inter-node link transmission arc collection The size of conjunction, i.e.,Wherein,For GTSlot range is [t', t' in (V, A) + T-1] the resource time-varying figure that is constituted, if resource time-varying figureResource arc is weighed between middle source node s and destination node d The number of weight and minimal path is k'n, and initialize k'n=0;
(3c3) judges resource time-varying figure according to breadth first traversal algorithmWhether middle source node s and destination node d deposit In path, if so, step (3c4) is executed, it is no to then follow the steps (3c5);
(3c4) computing resource time-varying figureResource arc weight and minimal path between middle source node s and destination node d, and Update
Using Dijkstra shortest path firsts, computing resource time-varying figureIt is provided between middle source node s and destination node d Source arc weight and minimal path, and each for including in minimal path is transmitted into arcWith in n time slot window The transmission arc of same satellite inter-node link is used in mouthful with transmission arc e'FromIn delete It removes, enables k'n=k'n+ 1, execute step (3c3);
(3c5) judges k'n< knIt is whether true, if so, enabling kn=k'n, otherwise t'=t'+1 enables t'=t'+1;
(3c6) judges whether current iteration number t'> T-L+1 are true, if so, Information Network has (kn, n, L) and connection Property, it is no to then follow the steps (3c2).
2. the Information Network connectivity analysis methods according to claim 1 based on resource time-varying figure, feature exist In the resource time-varying figure G of the construction Information Network described in step (1)T(V, A) realizes that step is:
(1a) is initialized:
By the resource time-varying figure G of Information Network to be constructedT(V, A) is initialized as the T layer digraphs of a blank, wherein V is the set of copy compositions of the CS in each time slot, and A is resource arc set, is enabled
(1b) adds node into T layers of digraph:
All satellite nodes in satellite set CS are traversed, to each satellite node csi∈ CS add section into T layers of digraph PointWherein,In l layers of digraph, node set is updated
(1c) addition transmission arc A into T layers of digrapht
All satellite nodes in satellite set CS are traversed to csi,csj∈ CS, csi≠csjIf the satellite in first of time slot csjIn satellite csiCommunication range in, then in l layers of digraph addition transmission arcUpdate Resource arc set A=A ∪ At
(1d) addition storage arc A into T layers of digraphs
All satellite nodes in satellite set CS are traversed, to each satellite node csi∈ CS, all phases in T layers of digraph The cs of adjacent bediBetween addition storage arcMore new resources arc set A=A ∪ As
(1e) adds source node s and destination node d into T layers of digraph:
Source node s and destination node d, update node set V=V ∪ { s, d } are added in T layers of digraph;
(1f) addition auxiliary arc A into T layers of digraphr
According to source satellite node ss ∈ CS, the purpose satellite node sd ∈ CS in Information Network, to source node s and source satellite Between copies of the node ss in T layers of digraph in all time slots and purpose satellite node sd in T layers of digraph institute sometimes Between copy in gap and destination node d, addition auxiliary arc Ar={ (s,ss l)|ss∈CS,l∈Γ}∪{(sdl,d)|sd∈ CS, l ∈ Γ }, more new resources arc set A=A ∪ Ar, the T layer digraphs added with node and resource arc are spatial information net The resource time-varying figure G of networkT(V,A)。
CN201810442297.5A 2018-05-10 2018-05-10 Spatial information network connectivity analysis method based on resource time-varying graph Active CN108718251B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810442297.5A CN108718251B (en) 2018-05-10 2018-05-10 Spatial information network connectivity analysis method based on resource time-varying graph

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810442297.5A CN108718251B (en) 2018-05-10 2018-05-10 Spatial information network connectivity analysis method based on resource time-varying graph

Publications (2)

Publication Number Publication Date
CN108718251A true CN108718251A (en) 2018-10-30
CN108718251B CN108718251B (en) 2021-01-29

Family

ID=63899641

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810442297.5A Active CN108718251B (en) 2018-05-10 2018-05-10 Spatial information network connectivity analysis method based on resource time-varying graph

Country Status (1)

Country Link
CN (1) CN108718251B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109560860A (en) * 2018-12-25 2019-04-02 长沙天仪空间科技研究院有限公司 A kind of satellite communication method for routing and system
CN109711638A (en) * 2019-01-16 2019-05-03 中国大恒(集团)有限公司北京图像视觉技术分公司 A kind of industrial machinery arm transport path planing method based on time-varying digraph
CN110138437A (en) * 2019-04-03 2019-08-16 西安建筑科技大学 Satellite communication network critical link sequence detecting method based on delay performance
CN110288018A (en) * 2019-06-24 2019-09-27 桂林电子科技大学 A kind of WiFi personal identification method merging deep learning model
CN110572198A (en) * 2019-06-12 2019-12-13 南京大学 Method for realizing satellite-ground laser communication network maximum network communication rate
CN111313960A (en) * 2020-02-20 2020-06-19 中国西安卫星测控中心 Evaluation method for chain establishment execution effect of Beidou third-order inter-satellite link
CN113630268A (en) * 2021-07-29 2021-11-09 西安电子科技大学 Method for acquiring maximum error separation path of fixed-length random interrupt scene in time-varying network
CN113660677A (en) * 2021-07-29 2021-11-16 西安电子科技大学 Maximum error independent path calculation method of weighted time-varying network under consumption limit
CN114500296A (en) * 2022-01-25 2022-05-13 西安电子科技大学 Communication, storage and computing resource unified characterization method based on function expansion diagram
CN115774736A (en) * 2023-02-10 2023-03-10 之江实验室 NUMA (non Uniform memory Access) architecture time-varying graph processing method and device for delayed data transmission
CN116683981A (en) * 2023-07-28 2023-09-01 成都本原星通科技有限公司 Low-orbit satellite path planning method based on multidimensional time-varying resource diagram

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH05209935A (en) * 1992-01-31 1993-08-20 Fujitsu Ltd Lsi device and lsi test method
CN101548568A (en) * 2006-12-04 2009-09-30 皇家飞利浦电子股份有限公司 Inter-channel communication methods in multi-channel wireless networks
CN106788664A (en) * 2015-11-23 2017-05-31 上海交通大学 Link allocation method based on perfect matching model in constellation communication network

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH05209935A (en) * 1992-01-31 1993-08-20 Fujitsu Ltd Lsi device and lsi test method
CN101548568A (en) * 2006-12-04 2009-09-30 皇家飞利浦电子股份有限公司 Inter-channel communication methods in multi-channel wireless networks
CN106788664A (en) * 2015-11-23 2017-05-31 上海交通大学 Link allocation method based on perfect matching model in constellation communication network

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
RUNZI LIU ;RUNZI LIU,MIN SHENG,KING-SHAN LUI: "An Analytical Framework for Resource-Limited Small Satellite Networks", 《IEEE COMMUNICATIONS LETTERS》 *
张威,张更新,边东明等: "基于分层自治域空间信息网络模型与拓扑控制算法", 《通信学报》 *

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109560860A (en) * 2018-12-25 2019-04-02 长沙天仪空间科技研究院有限公司 A kind of satellite communication method for routing and system
CN109560860B (en) * 2018-12-25 2021-02-09 长沙天仪空间科技研究院有限公司 Satellite communication routing method and system
CN109711638B (en) * 2019-01-16 2020-12-04 中国大恒(集团)有限公司北京图像视觉技术分公司 Industrial mechanical arm carrying path planning method based on time-varying directed graph
CN109711638A (en) * 2019-01-16 2019-05-03 中国大恒(集团)有限公司北京图像视觉技术分公司 A kind of industrial machinery arm transport path planing method based on time-varying digraph
CN110138437A (en) * 2019-04-03 2019-08-16 西安建筑科技大学 Satellite communication network critical link sequence detecting method based on delay performance
CN110138437B (en) * 2019-04-03 2021-04-20 西安建筑科技大学 Satellite communication network key link sequence detection method based on time delay performance
CN110572198A (en) * 2019-06-12 2019-12-13 南京大学 Method for realizing satellite-ground laser communication network maximum network communication rate
CN110572198B (en) * 2019-06-12 2021-05-25 南京大学 Method for realizing satellite-ground laser communication network maximum network communication rate
CN110288018A (en) * 2019-06-24 2019-09-27 桂林电子科技大学 A kind of WiFi personal identification method merging deep learning model
CN110288018B (en) * 2019-06-24 2022-08-12 桂林电子科技大学 WiFi identity recognition method fused with deep learning model
CN111313960A (en) * 2020-02-20 2020-06-19 中国西安卫星测控中心 Evaluation method for chain establishment execution effect of Beidou third-order inter-satellite link
CN111313960B (en) * 2020-02-20 2021-08-03 中国西安卫星测控中心 Evaluation method for chain establishment execution effect of Beidou third-order inter-satellite link
CN113630268A (en) * 2021-07-29 2021-11-09 西安电子科技大学 Method for acquiring maximum error separation path of fixed-length random interrupt scene in time-varying network
CN113660677A (en) * 2021-07-29 2021-11-16 西安电子科技大学 Maximum error independent path calculation method of weighted time-varying network under consumption limit
CN113630268B (en) * 2021-07-29 2022-07-26 西安电子科技大学 Method for acquiring maximum error separation path of fixed-length random interrupt scene in time-varying network
CN114500296A (en) * 2022-01-25 2022-05-13 西安电子科技大学 Communication, storage and computing resource unified characterization method based on function expansion diagram
CN115774736A (en) * 2023-02-10 2023-03-10 之江实验室 NUMA (non Uniform memory Access) architecture time-varying graph processing method and device for delayed data transmission
CN116683981A (en) * 2023-07-28 2023-09-01 成都本原星通科技有限公司 Low-orbit satellite path planning method based on multidimensional time-varying resource diagram
CN116683981B (en) * 2023-07-28 2023-10-13 成都本原星通科技有限公司 Low-orbit satellite path planning method based on multidimensional time-varying resource diagram

Also Published As

Publication number Publication date
CN108718251B (en) 2021-01-29

Similar Documents

Publication Publication Date Title
CN108718251A (en) Information Network connectivity analysis methods based on resource time-varying figure
Subramanya et al. Machine learning-driven service function chain placement and scaling in MEC-enabled 5G networks
Agarwal et al. VNF placement and resource allocation for the support of vertical services in 5G networks
Zhan et al. Trajectory design for distributed estimation in UAV-enabled wireless sensor network
Li et al. QTCP: Adaptive congestion control with reinforcement learning
Marfoq et al. Throughput-optimal topology design for cross-silo federated learning
Chen et al. Task replication for vehicular cloud: Contextual combinatorial bandit with delayed feedback
Gatzianas et al. A distributed algorithm for maximum lifetime routing in sensor networks with mobile sink
Allalouf et al. Centralized and distributed algorithms for routing and weighted max-min fair bandwidth allocation
CN110336751A (en) Low-track satellite network routing policy based on membership function
CN109905281A (en) The group of stars network Telemetry Service transmission method of multipath maximum throughput
Odarchenko et al. Improved method of routing in UAV network
US9614735B2 (en) Bounded-budget monitor deployment in monitoring networks via end-to-end probes
Shah et al. Network flows for function computation
Polverini et al. Traffic matrix estimation enhanced by SDNs nodes in real network topology
CN104580002B (en) The big balanced retransmission method of current load and device
Zhang et al. Queue resource reallocation strategy for traffic systems in scale-free network
Vallet et al. Online OSPF weights optimization in IP networks
Yan et al. Local information-based congestion control scheme for space delay/disruption tolerant networks
Pan et al. Satellite network load balancing strategy for SDN/NFV collaborative deployment
Ward et al. Complexity results on labeled shortest path problems from wireless routing metrics
Hou et al. Bandwidth scheduling for big data transfer with two variable node-disjoint paths
US11516144B2 (en) Incremental data processing
Osuagwu et al. Low and Expensive Bandwidth Remains Key Bottleneck for Nigeria’s Internet Diffusion: A Proposal for a Solution Model.
Toledo et al. CloudPilot: Flow acceleration in the cloud

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant