CN106211219A - A kind of lost contact node dynamic testing method of Adhoc net - Google Patents
A kind of lost contact node dynamic testing method of Adhoc net Download PDFInfo
- Publication number
- CN106211219A CN106211219A CN201610421288.9A CN201610421288A CN106211219A CN 106211219 A CN106211219 A CN 106211219A CN 201610421288 A CN201610421288 A CN 201610421288A CN 106211219 A CN106211219 A CN 106211219A
- Authority
- CN
- China
- Prior art keywords
- node
- lost contact
- coordinate
- communication range
- network
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses the lost contact node dynamic testing method of a kind of Adhoc net, according to 3 nodes, the lost contact node dynamic testing method of described Adhoc net judges that mobile node whether lost contact and multiple node obtain two kinds of models of lost contact node in network, for the network of different scales with joint movements speed, according to the whether lost contact of the node in the geographical position periodic detection network of node;Each mobile node is equipped with a GPS device, obtains node coordinate in real time, then judges the node whether having lost contact in network according to the communication range of coordinate He each node;A certain node is in the communication range then node not lost contact of other any node, and node is not in the communication range of any node, then node lost contact.Each mobile node of the present invention is equipped with a GPS device, can obtain the geographical position of node in real time, and time delay is substantially reduced, and the result obtained is more accurate.
Description
Technical field
The invention belongs to radio network technique field, particularly relate to the lost contact node dynamic testing method of a kind of Adhoc net.
Background technology
Ad hoc net is the wireless network of a dispersal pattern, is also called multihop network (Multi-hop Network), without base
Infrastructure net (Infrastructureless Network) or self-organization network (Self-organizing Network), be a little
To point, because it does not relies on the infrastructure being pre-existing in, the router of such as wired network, the connecing of structural wireless network
Access point.On the contrary, each node is by participating in route for other node for data forwarding, so adhoc net is to connect based on network to move
Which node for data forwarding is state determine by.Owing to Ad Hoc network is by mobile node oneself independent assortment, do not rely on wired
Equipment, therefore, has the stronger property organized certainly, is well suited for the severe communication environment in battlefield.The finiteness of the energy and the movement of node
Property cause node may to separate with network at any time, when network failure, detection lost contact node for improve network reliable
Property, effectiveness is most important, in order to takes to strengthen and launches the measure such as power to ensure the reliability of network, accessibility and handling up
Amount.
It is not enough that the reason causing node lost contact is probably node electricity, it is also possible to the lost contact caused due to node motion.
The method of existing detection lost contact node, mostly based on Topology Discovery, utilizes topology discovery algorithm to update network topology
Relational matrix, then sets up adjacency matrix, isolates unreachable subnet by the method for topological separation, then according to node or link
Probability of malfunction failure judgement node.This method when node motion speed quickly time can cause the Topology Discovery program can not be timely
With new adjacency matrix, accuracy declines.The method given out a contract for a project is utilized to monitor lost contact node in real time, in order to be applicable to catenet, fall
Low traffic, author utilize clustering algorithm by network cluster dividing, bunch in set up the spanning tree with bunch head as root, from leaf node
Starting to progressively transmitting neighbor information to root node, root node arranges neighbor information, judges lost contact node with this.
Summary of the invention
It is an object of the invention to provide the lost contact node dynamic testing method of a kind of Adhoc net, it is intended to solve owing to opening up
Flutter discovery procedure to have time delay and cause the relatively low problem of algorithm accuracy.
The present invention is achieved in that the lost contact node dynamic testing method that a kind of Adhoc nets, the mistake of described Adhoc net
By 3 nodes, interlink point dynamic testing method judges that mobile node whether lost contact and multiple node obtain lost contact node in network
Two kinds of models, for network and the joint movements speed of different scales, according in the geographical position periodic detection network of node
Node whether lost contact.
Further, the lost contact each mobile node of node dynamic testing method of described Adhoc net is equipped with a GPS device,
Obtain node coordinate in real time, then judge the node whether having lost contact in network according to the communication range of coordinate He each node;
A certain node is in the communication range then node not lost contact of other any node, and node is not at the communication range of any node
In, then node lost contact.
Further, in the case of described 3 nodes, there are 1 mobile node, 2 stationary nodes, obtain every time interval t
Take the coordinate of mobile node, in the range of a certain node communication, whether judge this node whether lost contact by calculating;
N1It is a removable node, N2, N3It is all stationary nodes, node N1Random mobile, node N2,N3Communication range
For 400m, every time interval t decision node N1Whether lost contact;At t1Moment, as node N1The position p moved to1Time, calculate p1
To N2Distance find p1To N2Distance more than node N2Communication range, it can thus be appreciated that now N1Neither at node N2Scope
In communication, the most no longer node N3Communication range in, node N1It is judged as lost contact node;At t2Moment works as node N1Move to
Position p2, calculate p2To N3Distance find calculate p2To N3Distance more than N3Communication range, it can thus be appreciated that N1At node N3
Communication range in, then node N1It is judged as non-lost contact node.t3Moment N1Again out of N2, N3Communication range, become lose
Interlink point.
Further, the plurality of node obtains lost contact node in network and includes:
For the node n of some state to be detected, the coordinate of node n isThe communication range of node is R, can
The abscissa of the node that can connect with it and the scope of vertical coordinate are respectivelyWithThen
Calculate node n with this in the range of the distance of other nodes, the computing formula of distance isIf
Distance just can be attached thereto less than communication range so node n of other nodes, if distance is more than the communication model of other nodes
Enclose and cannot be attached thereto;If there being node to be connected with node n, by the node that is connected with node n from the set of node of state to be determined
Conjunction being removed, if not finding, being lost contact node by this vertex ticks, continue to judge the node of other states to be detected.
Further, described determine the range of nodes may being connected with a certain node, by all nodes according to first arranging by x-axis
Sequence, then sort by y-axis, from the beginning of the node that x coordinate is minimum, from left to right, judging the state of each node successively, the time is complicated
Degree N*log2n.
Further, first node is sorted according to x coordinate, be N after sequence1、N2、N3、N4、N5、N6、N7、N8;Then from node
The node N that in network, abscissa is minimum1Start to judge successively the state of each node;Decision node N1State time, by x coordinate
Scope be limited toIn, judge N according to x coordinate order successively1Whether can be with N2、N3、N4Connect, until N5
Coordinate range exceedsAnd can be with N1The node N connected2、N3、N4And N1Status indication be 1, and by flag tag be
Judged.Then judge that remaining node also not judged, next node are N by above-mentioned steps5。
Farther include:
Input: coordinate array position [N] of N number of node, communication range R;
Output: lost contact node set Disconnectedset
Sort(position.x);// node coordinate pressed abscissa sequence
The present invention provides the lost contact node dynamic testing method that Adhoc nets, and each mobile node is equipped with a GPS system,
Can obtain the geographical position of node in real time, time delay is substantially reduced, and the result obtained is more accurate.
The method of the present invention only need to periodically obtain the geographical position of mobile node, and by calculating Distance Judgment between node
Whether lost contact, fairly simple.And topological separation algorithm is based on topology discovery algorithm, topology discovery algorithm is also a research
Direction, is used for setting up relational matrix and adjacency matrix.Algorithm based on spanning tree is firstly the need of by network cluster dividing, after sub-clustering
Spanning tree is set up again by transmitting information to gather information to root node in each bunch, relative complex.
The present invention is compared with topological separation algorithm, and speed is under the speed of 20m/s, and the accuracy rate of topological separation algorithm exists
Less than 80%, and the algorithm of the present invention is more than 90%.It can thus be appreciated that speed on the impact of the algorithm in the present invention than topology
Separation algorithm is little.And topological separation algorithm is applicable to mininet, and the algorithm in the present invention under catenet, accuracy rate is also
The highest.And spanning tree algorithm is when there being 30 nodes in network, and when having 3 mobile nodes, Average Accuracy is 77%, accurately
Rate is minimum.
The algorithm of the present invention just can obtain result it is not necessary to send data according only to the communication range of geographical position and node
Bag.Topological separation algorithm needs to use topology discovery algorithm, and node each for mininet periodically finds topology, catenet
The traffic is reduced by the method for level.Although the method for spanning tree greatly reduces the traffic by setting up spanning tree, but
Still thousands of packets can be produced.
The present invention proposes the communication range according to geographical position and node and carrys out decision node whether lost contact, respectively illustrates
Judge the state of a node and the situation of the state of multiple node, and by reducing algorithm complex by coordinate sequence, according to
Simulation result understands, and this method is used in due to the mobile node lost contact caused, and this method traffic is few, and accuracy rate height also can
For catenet.Method in the present invention is also easy to the situation expanding to detect power off, as long as will determine that lost contact
Can standard change a certain node in the distance according to two nodes is whether less than communication range into and receive to another node the other side that gives out a contract for a project
Arrive.And obtain node coordinate except being equipped with GPS device to each node, it is also possible to use relative position algorithm.Position relatively is calculated
Method refers to exist in network node known to a small amount of position (referred to as anchor node or beaconing nodes), and its position can be positioned by GPS
The means such as equipment obtain.The node of other Location-Unknowns in addition to anchor node is referred to as unknown node, and unknown node saves from anchor
Point obtains relevant information, and completes the location of self-position according to localization method.The present invention is also easy to expand to three-dimensional
Situation, as long as changing by the position of node as the method for expressing (x of three-dimensional into0,y0,z0), and by two node (x0,y0,z0) and (x1,
y1,z1) distance computing formula change the distance computing formula of calculating of three-dimensional coordinate into
Accompanying drawing explanation
Fig. 1 is network model's schematic diagram of 3 nodes that the embodiment of the present invention provides.
Fig. 2 is the t that the embodiment of the present invention providesiThe position view of each node of moment.
Fig. 3 is the algorithm accuracy rate contrast schematic diagram that the embodiment of the present invention provides;
In figure: the accuracy rate of (a) inventive algorithm;The fault diagnosis accuracy rate of (b) topological separation algorithm.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with embodiment, to the present invention
It is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not used to
Limit the present invention.
The present invention is equipped with a GPS device to each mobile node, can obtain node coordinate in real time, then according to coordinate and
The communication range of each node judges the node whether having lost contact in network.If a certain node is in the logical of other any node
Letter scope then this node not lost contact, if this node is not in the communication range of any node, then node lost contact.
Below in conjunction with specific embodiment, the application principle of the present invention is explained in detail.
1, problem describes
There is mobile node in netting due to adhoc, topology frequently change can be caused.In order to grasp the state of node, Mei Geshi
Between be spaced t the node in network is carried out dynamic monitoring, find out lost contact node.Assume to detect time t in i-thiTime, node n
Coordinate beNode N is at tiThe state in moment is Sn。
Introducing two kinds of models separately below, the first is in the case of only 3 nodes, has a mobile node, sentences
This node disconnected whether lost contact.The second is in the case of having a lot of nodes, obtains the lost contact node in network.
1.1 states judging individual node
In the case of 3 nodes, having 1 mobile node, 2 stationary nodes, in order to dynamically detect the shape of mobile node
State, needs to obtain the coordinate of mobile node every time interval t, by calculating whether it sentences in the range of a certain node communication
This node disconnected whether lost contact.
As it is shown in figure 1, N1It is a removable node, N2, N3It is all stationary nodes, node N1Random mobile, node N2, N3
Communication range be 400m, every time interval t decision node N1Whether lost contact.At t1Moment, as node N1The position moved to
p1Time, from the result of calculation in table 1, now N1Neither at node N2Range communication in, the most no longer node N3Communication model
In enclosing, node N1It is judged as lost contact node.In the t2 moment as node N1The position p moved to2, can by the result of calculation in table 1
Know N1At node N3Communication range in, then node N1It is judged as non-lost contact node.t3Moment N1Again out of N2, N3Communication
Scope, becomes lost contact node.
Table 1 example
1.2 states judging multiple node
In order to judge the state of all nodes in network, if to all nodes all according to the method for above-mentioned individual node,
Judge whether it can connect with other any node, a lot of double counting can be produced.And for the joint of some state to be detected
Point n, the most within the specific limits, node at a distance can not connect the node that can connect with him with him, the most first may be with it
In the range of the node being connected narrows down to one.The coordinate of node n isThe communication range of node is R, may with it even
On the abscissa of node and the scope of vertical coordinate be respectivelyWithThen this joint is judged
Whether point is connected with the node in the range of this.If there being node to be connected with this node, the node these being attached thereto is to be determined
The node set of state being removed, if not finding, being lost contact node by this vertex ticks, continue to judge other shapes to be detected
The node of state.
The range of nodes may being connected with a certain node for the determination being more prone to, by all nodes according to first by x-axis
Sequence, then sort by y-axis, the node minimum from x coordinate starts said process, from left to right, judges the shape of each node successively
State, time complexity N*log2n.
Such as Fig. 2, it is a certain moment tiTime each node position view, first by node according to x coordinate sort, after sequence
For N1、N2、N3、N4、N5、N6、N7、N8.Then the node N that abscissa is minimum from meshed network1Start to judge each node successively
State.Decision node N1State time, the scope of x coordinate is limited toIn, suitable according to x coordinate successively
Sequence judges N1Whether can be with N2、N3、N4Connect, until N5Coordinate range exceedsAnd can be with N1The node N connected2、N3、
N4And N1Status indication be 1, and by flag tag for judge.Then remaining joint also not judged is judged by above-mentioned steps
Point, next node is N5。
False code is as follows:
2 simulation results and method comparison
2.1 simulation result
Different joint movements speed and network size, based on opnet, are emulated by emulation, make with Average Accuracy
For evaluation index.Average Accuracy is defined as:
ADA=detects detection number of times × 100% (2) of successful number of times/total
The parameter used in simulation process is as shown in table 2.
Communication range | 400m |
Node density | 50/3KM*3KM |
Nodes | 100、200、300、400、500 |
Maximal rate | 10m/s、20m/s、30m/s、40m/s、50m/s |
Motion model | Random point bit model |
Routing Protocol | AODV |
Number of run | 10 |
Mobile node percentage ratio | 20% |
The mobility model of node uses random waypoint model, random waypoint model be by David B Johnson and
DavidA.Maltz et al. proposes, and the emulation by MANET agreement is widely used afterwards.The motion that this model describes is, node
Moving in a certain territorial scope, from the off, each node first stops a time out, then selects next target,
In (0, maximal rate), randomly choose the speed of this time movement simultaneously, then move with this constant-velocity towards target, after arrival
Repeat above-mentioned steps pause and select.
Simulation result is as shown in table 3, and simulation result shows when network size increases, and Average Accuracy declines.This be due to
When network size increases, the calculating time of algorithm increases, and adds GPS device and obtains the time delay in geographical position, and network state is
Probability through changing increases.In table, the contrast of the accuracy rate under friction speed shows when the maximal rate of node motion increases,
Average Accuracy declines.This is because node speed increases, the rate of change of topology also can increase.
Table 3 experimental result
2.2 method comparison
The problem that the present invention solves is only to find out the node lost contact caused due to node motion, and topological separation algorithm and life
Become tree algorithm can find out the node lost contact caused due to node motion and other reasons simultaneously.Below from realizing difficulty, accurately
Rate and three aspects of the traffic compare the algorithm of the present invention and topological separation algorithm and spanning tree algorithm.
2.2.1 difficulty is realized
The method of the present invention only need to periodically obtain the geographical position of mobile node, and by calculating Distance Judgment between node
Whether lost contact, fairly simple.And topological separation algorithm is based on topology discovery algorithm, topology discovery algorithm is also a research side
To, it is used for setting up relational matrix and adjacency matrix.Algorithm based on spanning tree firstly the need of by network cluster dividing, after sub-clustering
Spanning tree is set up again by transmitting information to gather information to root node in each bunch, relative complex.
2.2.2 accuracy rate
Fig. 3 (a) is the accuracy rate of the algorithm of the present invention, and Fig. 3 (b) is topological separation algorithm in heterogeneous networks scale and
Fault diagnosis accuracy rate under big speed, contrast understands, and speed is under the speed of 20m/s, and the accuracy rate of topological separation algorithm exists
Less than 80%, and the algorithm of the present invention is more than 90%.It can thus be appreciated that speed on the impact of the algorithm in the present invention than topology
Separation algorithm is little.And topological separation algorithm is applicable to mininet, and the algorithm in the present invention under catenet, accuracy rate is also
The highest.And spanning tree algorithm is when there being 30 nodes in network, and when having 3 mobile nodes, Average Accuracy is 77%, accurately
Rate is minimum.
2.2.3 the traffic
The algorithm of the present invention just can obtain result it is not necessary to send data according only to the communication range of geographical position and node
Bag.Topological separation algorithm needs to use topology discovery algorithm, and node each for mininet periodically finds topology, catenet
The traffic is reduced by the method for level.Although the method for spanning tree greatly reduces the traffic by setting up spanning tree, but
Still thousands of packets can be produced.
The present invention proposes the communication range according to geographical position and node and carrys out decision node whether lost contact, respectively illustrates
Judge the state of a node and the situation of the state of multiple node, and by reducing algorithm complex by coordinate sequence, according to
Simulation result understands, and this method is used in due to the mobile node lost contact caused, and this method traffic is few, and accuracy rate height is also
Catenet can be used for.Method in the present invention is also easy to the situation expanding to detect power off, as long as will determine that mistake
Whether the standard of connection changes a certain node into from a certain node in the communication range of another node is given out a contract for a project the other side to another node
Can receive, and except using GPS device to obtain node coordinate, it is also possible to using relative position algorithm, the present invention also can expand
Exhibition is to three-dimensional situation.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Any amendment, equivalent and the improvement etc. made within god and principle, should be included within the scope of the present invention.
Claims (8)
1. the lost contact node dynamic testing method of an Adhoc net, it is characterised in that the lost contact node of described Adhoc net is dynamic
By 3 nodes, detection method judges that mobile node whether lost contact and multiple node obtain two kinds of models of lost contact node in network,
For network and the joint movements speed of different scales, according to the node in the geographical position periodic detection network of node whether
Lost contact.
2. the lost contact node dynamic testing method of Adhoc net as claimed in claim 1, it is characterised in that described Adhoc net
The each mobile node of lost contact node dynamic testing method is equipped with GPS device, and GPS device obtains node coordinate in real time, according to coordinate
The node that whether has lost contact in network is judged with the communication range of each node;A certain node is in the communication of other any node
Scope then node not lost contact, node is not in the communication range of any node, then node lost contact.
3. the lost contact node dynamic testing method of Adhoc net as claimed in claim 1, it is characterised in that described 3 nodes,
There are 1 mobile node, 2 stationary nodes, obtain the coordinate of mobile node every time interval t, by whether calculating a certain
This node whether lost contact is judged in the range of node communication.
4. the lost contact node dynamic testing method of Adhoc net as claimed in claim 3, it is characterised in that N1It is one may move
Node, N2, N3It is all stationary nodes, node N1Random mobile, node N2, N3Communication range be 400m, sentence every time interval t
Disconnected node N1Whether lost contact;At t1Moment, as node N1The position p moved to1Time, calculate p1To N2Distance find p1To N2's
Distance is more than node N2Communication range, now N1Neither at node N2Range communication in, the most no longer node N3Communication range
In, node N1It is judged as lost contact node;At t2Moment works as node N1The position p moved to2, calculate p2To N3Distance find meter
Calculate p2To N3Distance more than N3Communication range, N1At node N3Communication range in, then node N1It is judged as non-lost contact joint
Point, t3Moment N1Removal N2, N3Communication range, become lost contact node.
5. the lost contact node dynamic testing method of Adhoc net as claimed in claim 1, it is characterised in that the plurality of node
Obtain lost contact node in network to include:
For the node n of some state to be detected, the coordinate of node n isThe communication range of node is R, may and it
The abscissa of the node connected and the scope of vertical coordinate are respectivelyWithThen joint is calculated
Point n with this in the range of the distance of other nodes, the computing formula of distance isIf apart from little
Just can be attached thereto in communication range so node n of other nodes, distance cannot be with more than the communication range of other nodes
Connected;If there being node to be connected with node n, the node being connected with node n is removed from the node set of state to be determined, if
Do not find, be lost contact node by this vertex ticks, continue to judge the node of other states to be detected.
6. the lost contact node dynamic testing method of Adhoc net as claimed in claim 1, it is characterised in that described determine possibility
The range of nodes being connected with a certain node, by all nodes according to first sorting by x-axis, then sorts by y-axis, from x coordinate minimum
Node starts, and from left to right, judges the state of each node, time complexity N*log2n successively.
7. the lost contact node dynamic testing method of Adhoc net as claimed in claim 6, it is characterised in that first by node according to x
Coordinate sorts, and is N after sequence1、N2、N3、N4、N5、N6、N7、N8;Then the node N that abscissa is minimum from meshed network1Start
Judge the state of each node successively;Decision node N1State time, the scope of x coordinate is limited toIn,
N is judged successively according to x coordinate order1Whether can be with N2、N3、N4Connect, until N5Coordinate range exceedsAnd can be with N1
The node N connected2、N3、N4And N1Status indication be 1, and by flag tag for judge;Then judge that remaining is not also sentenced
Disconnected node, next node is N5。
8. the lost contact node dynamic testing method of Adhoc net as claimed in claim 7, it is characterised in that farther include:
Input: coordinate array position [N] of N number of node, communication range R;
Output: lost contact node set Disconnectedset
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610421288.9A CN106211219A (en) | 2016-06-14 | 2016-06-14 | A kind of lost contact node dynamic testing method of Adhoc net |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610421288.9A CN106211219A (en) | 2016-06-14 | 2016-06-14 | A kind of lost contact node dynamic testing method of Adhoc net |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106211219A true CN106211219A (en) | 2016-12-07 |
Family
ID=57453121
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610421288.9A Pending CN106211219A (en) | 2016-06-14 | 2016-06-14 | A kind of lost contact node dynamic testing method of Adhoc net |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106211219A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20220321605A1 (en) * | 2021-04-01 | 2022-10-06 | Cisco Technology, Inc. | Verifying trust postures of heterogeneous confidential computing clusters |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101252495A (en) * | 2008-03-06 | 2008-08-27 | 北京航空航天大学 | Wireless sensor network local type node managing method |
CN102209331A (en) * | 2011-05-31 | 2011-10-05 | 河海大学常州校区 | Node positioning method of irregular transmission model in wireless sensor network |
CN103167042A (en) * | 2013-04-07 | 2013-06-19 | 常熟理工学院 | Medical real-time monitoring system based on all IP (internet protocol) wireless sensor network |
US20150365285A1 (en) * | 2014-06-11 | 2015-12-17 | Amplisine Labs, LLC | Ad hoc wireless mesh network |
-
2016
- 2016-06-14 CN CN201610421288.9A patent/CN106211219A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101252495A (en) * | 2008-03-06 | 2008-08-27 | 北京航空航天大学 | Wireless sensor network local type node managing method |
CN102209331A (en) * | 2011-05-31 | 2011-10-05 | 河海大学常州校区 | Node positioning method of irregular transmission model in wireless sensor network |
CN103167042A (en) * | 2013-04-07 | 2013-06-19 | 常熟理工学院 | Medical real-time monitoring system based on all IP (internet protocol) wireless sensor network |
US20150365285A1 (en) * | 2014-06-11 | 2015-12-17 | Amplisine Labs, LLC | Ad hoc wireless mesh network |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20220321605A1 (en) * | 2021-04-01 | 2022-10-06 | Cisco Technology, Inc. | Verifying trust postures of heterogeneous confidential computing clusters |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102970725B (en) | Mobile opportunity network routing method based on multi-layer community grouping | |
CN102685255B (en) | Distributed opportunistic network community division method | |
CN101965052A (en) | Wireless sensing network node positioning method based on optimal beacon set | |
CN101873691A (en) | Method for positioning wireless sensor network node without ranging based on connectedness | |
CN102395193B (en) | Method for locating wireless sensor network (WSN) | |
CN104301966B (en) | The semi-structured transmission dispatching method of Wireless Sensor Networks Data Collection | |
CN101938832A (en) | Division and refinement-based node self-positioning method for wireless sensor network | |
Ahmad et al. | A bio-inspired clustering scheme in wireless sensor networks: BeeWSN | |
CN102065446B (en) | Topology control system and method orienting group mobile environment | |
Rathod et al. | Role of Routing Protocol in Mobile Ad-Hoc Network for Performance of Mobility Models | |
Dagdeviren et al. | An energy-efficient distributed cut vertex detection algorithm for wireless sensor networks | |
CN104125572B (en) | The Sybil attack detection methods cooperated based on node | |
Xing et al. | Square region-based coverage and connectivity probability model in wireless sensor networks | |
CN102497669A (en) | Wireless sensor network (WSN) node positioning method | |
CN101772013A (en) | Voting mechanism based WSN anti-attack node positioning method | |
CN104080169B (en) | A kind of underwater wireless sensor network dynamic self-adapting localization method | |
CN113411766B (en) | Intelligent Internet of things comprehensive sensing system and method | |
Sitanayah et al. | Heuristic algorithm for finding boundary cycles in location-free low density wireless sensor networks | |
CN106211219A (en) | A kind of lost contact node dynamic testing method of Adhoc net | |
Bharany et al. | Energy Efficient Clustering Protocol for FANETS Using Moth Flame Optimization. Sustainability 2022, 14, 6159 | |
Sandeli et al. | An efficient localization approach in wireless sensor networks using chicken swarm optimization | |
CN105072631A (en) | Distributed wireless sensor network coverage hole identification method | |
CN111405616A (en) | Sensor network route improvement method for intelligent flow allocation and path update | |
Song et al. | Wireless Sensor Network Coverage Optimization Based on Fruit Fly Algorithm. | |
CN109257763A (en) | The judgment method of wireless sensor two-dimensional network boundary node |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161207 |