CN107318142B - Distributed routing method between a kind of wireless sense network cluster - Google Patents

Distributed routing method between a kind of wireless sense network cluster Download PDF

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CN107318142B
CN107318142B CN201710527349.4A CN201710527349A CN107318142B CN 107318142 B CN107318142 B CN 107318142B CN 201710527349 A CN201710527349 A CN 201710527349A CN 107318142 B CN107318142 B CN 107318142B
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CN107318142A (en
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饶元
邓成
朱军
陈卫
丁仁源
马玉宝
许文俊
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Anhui Agricultural University AHAU
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/04Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/12Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality
    • H04W40/16Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality based on interference
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/24Connectivity information management, e.g. connectivity discovery or connectivity update
    • H04W40/32Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses distributed routing methods between a kind of wireless sense network cluster, belong to wireless sensor network field, effectively reduce the interference of data transmission between massive wireless sensor cluster head.The present invention includes and being recorded into neighbor table by the mutual logic connecting relation of Hello message exchange and load information between cluster head;For cluster head first according to the father's cluster head quantity and flow load of neighbours' cluster head, the data for calculating cluster head transmit the interference factor transmitted to its neighbours' cluster head data;Submanifold head is the probability that the transmission of next-hop data is undertaken according to each father's cluster head of calculating with the interference factor of father's cluster head.The present invention can be effectively reduced interfering with each other between cluster head in data transmission procedure, improve the data transmission efficiency of network.

Description

Distributed routing method between a kind of wireless sense network cluster
Technical field
The invention belongs to wireless sensor network fields, specifically, distributed road between being related to a kind of wireless sense network cluster By method.
Background technique
Clustering topology is conducive to the application of distributed routing algorithm convenient for management, has preferable scalability, fits Close massive wireless sensor application.Clustering route protocol usually splits the network into cluster, and each cluster is by cluster head and multiple Member node in cluster member composition, cluster head management or the entire cluster of control, data pass through multi-hop transmission between cluster head to aggregation node.By A possibility that high load there are bottleneck, cluster head vulnerable in sensor node, cluster structured divides network increase, this requirement Routing algorithm has certain fault-tolerant ability.Meanwhile wireless signal interference and channel contention are also in clustering routing design process Very important key factor.
It routes, transmitted around the data of the generation of cluster head, the formation of cluster and cluster and sets for Wireless sensor network clustering Many WSN Clustering Routings are counted." wireless sensor network data of Energy-aware collects agreement ", Journal of Software, 2007, 18 (5): 1092-1109, author Liu Ming, Cao Jiannong, Chen Guihai etc. are disclosed based on node itself and its neighbor node residual energy Amount design election of cluster head and cluster constructing plan, the subgraph connectivity for ensuring to be formed by cluster head by adjusting cluster head covering radius, then Building convergence tree transmission data.But when network load is larger, the data transmission between different cluster members is easy to produce conflict, makes It obtains cluster head and collects data efficiency decline, to be easy to cause network congestion."efficient routing algorithm Based on unequal clustering and connected graph in wireless sensor networks ", International Journal of Wireless Information Networks, 2016,23 (2): 141-150 makees Person Xia H, Zhang R, Yu J, disclose sensor network carried out by the communication radius for adjusting sensor node it is non-homogeneous Sub-clustering, then use connected graph Theoretical Design route selection algorithm.But only consider that Energy volution avoids when sub-clustering, so that cluster network is opened up It flutters to save energy consumption and frequently changes, cause to safeguard that the cost of network stabilization is excessive, network performance is caused to decline.Road between cluster head Data transmission route is by ignoring the information sharing and biography of wireless sense network protocol stack between graph theory design cluster head is used only by algorithm Sensor node data transmission feature, effect of optimization are limited.
From the above-mentioned prior art it is found that existing WSN clustering architecture and method for routing energy consumption is unbalanced, performance is unstable;How More efficient Self-configuring is established, by regional area limited range interior nodes using the characteristics of wireless-sensor network distribution type Between interaction and information feedback come sub-clustering and routing, reducing internodal data transmission interference, guaranteeing network operation period Meanwhile raising cluster stability and network data transmission performance still need further to be innovated.
Summary of the invention
1, it to solve the problems, such as
Aiming at the problem that interfering with each other between existing massive wireless sensor cluster head, the present invention provides a kind of wireless biography Distributed routing method between sense net cluster, can be effectively reduced interfering with each other, alleviating heavy duty between cluster head in data transmission procedure In the case of network congestion degree, balance network load, extend network lifetime, answered suitable for massive wireless sensor With.
2, technical solution
To solve the above problems, the present invention adopts the following technical scheme that.
Distributed routing method between a kind of wireless sense network cluster, including using the transmission of cluster head data to the shadow of its neighbours' cluster head It rings and defines the foundation that interference factor is selected as next-hop.
Preferably, include the following steps:
Step A, between cluster head by the mutual logic connecting relation of Hello message exchange, cluster head load estimation value and from The interference factor of body, and be recorded into respective neighbor table;In neighbor table, direct shape during cluster network struction is marked At, or rely on father, son, same layer relationship between the cluster head that range difference isomery is built between cluster network and aggregation node;
Step B updates and transmits the interference factor transmitted to neighbours' cluster head data with maintenance cluster head i data;
Step C, lower layer network cluster head j are determined each using each father's cluster head interference factor calculated in above-mentioned steps B as foundation Father's cluster head is the probability of next-hop.
Step D, lower layer network cluster head j select next-hop from father's cluster head using roulette method choice.
Preferably, the calculation formula of cluster head i load estimation value is as follows in step A,
Li、OjRespectively indicate the load estimation value of cluster head i and its submanifold head j, PjIndicate father's cluster head set of cluster head j, CiTable Show the submanifold head set of cluster head i, UiThe member node set of cluster where cluster head i,Expression is saved by member in the cluster of cluster head of i The mathematic expectaion of point j reported data amount;| | indicate the number of element in set.
Preferably, in step B, cluster head i data transmit the update and maintenance to the data transmission interference factor of neighbours' cluster head, Calculation formula is as follows,
The right first item calculates annoyance level of the data transmission to its all father's cluster head of cluster head i;Section 2 calculates cluster head i The annoyance level that its all submanifold head data is transmitted;Section 3 calculates what cluster head i transmitted all same layer neighbours cluster head data Annoyance level;
Pi、PkFather's cluster head set of respectively cluster head i and k, CjFor the submanifold head set of cluster head j, CiIndicate the son of cluster head i Cluster head set, MiFor same layer cluster head set within the scope of cluster head i communication radius, LkIndicate the load estimation value of cluster head k;| | indicate collection The number of element in conjunction.
Preferably, in step C, lower layer network cluster head j is using his father's cluster head interference factor as foundation, under determining that each father's cluster head is One probability jumped, calculation method is as follows,
PjIndicate father's cluster head set of cluster head j, IFj,iFor the interference factor of father's cluster head i of cluster head j, IFj,kFor cluster head j's The interference factor of father's cluster head k;XjThe neighbours' cluster head quantity for having obtained interference factor value by Hello message for cluster head j, has not been obtained The cluster head i interference factor value IF of interference factoriIt is 0, and the probability for being selected as next-hop is| | indicate element in set Number.
3, beneficial effect
Compared with the prior art, the invention has the benefit that
(1) present invention defines the interference factor of sensor node, uses the road wireless sense network Cu Jian based on interference factor By method, network congestion degree in the case of interfering with each other between cluster head is effectively reduced in data transmission procedure, alleviates heavy duty prolongs Long network lifetime is suitable for massive wireless sensor application;
(2) the probability route selection method that uses of the present invention is based on interference factor, by for different next of cluster head It jumps routing node and distributes select probability, balance network load while improve data transfer efficiency is avoided due to single cluster head It causes energy loss too fast due to undertaking excessive transformation task, network energy is caused to be unevenly distributed under weighing apparatus and stability Drop.
Detailed description of the invention
Interference scene of the data transmission that Fig. 1 is cluster head i in the specific embodiment of the invention to its all father's cluster head;
Fig. 2 is the interference scene that cluster head i transmits its all submanifold head data in the specific embodiment of the invention;
Fig. 3 is that cluster head i data transmit the interference scene transmitted to same layer cluster head data in the specific embodiment of the invention;
Fig. 4 is building and its cluster head update method wireless sense network cluster network structure in the specific embodiment of the invention;
A-K indicates each cluster in figure;Solid line is the 1st layer of cluster network;The first dotted line on the inside of solid line close to A, B location is the 0th Layer cluster network;The second dotted line on the outside of solid line close to the position D, E, F is the 2nd layer of cluster network;It is the 3rd layer of cluster net outside second dotted line Network;
Fig. 5 is the correspondence figure in the present invention between each cluster, and it is general to represent node flow distribution for arrow fineness in figure Rate.
In figure, arrow fineness represents node flow distribution probability.According to the least interference proposed in the present invention because Subpath selection strategy, cluster head is when selecting next-hop in cluster K, between the cluster that cluster network A can be interfered with due to the cluster head of selection cluster F Data transmission, therefore have very big probability selection G rather than F.Similarly, cluster head is when selecting next-hop in cluster network J, to avoid to cluster Data transmission in network I impacts, and can be biased to selection E rather than D.
Specific embodiment
Present invention will now be described in detail with reference to the accompanying drawings..
In wireless sensor and actor networks, node state constantly changes with the time, also not so as to cause network topology structure It is disconnected to change.Especially in the densely distributed network of sensor node, the storage of ordinary node and computing capability are limited, make With the central controlled path finding method of traditional sensors network routing protocol, i.e. collection whole network topology, link state etc. Information simultaneously calculates and safeguards that whole routing is clearly unreasonable, has biggish expense using Graph-theoretical Approach building routing.Cause This, plays the part of energy-efficient routing using being with good expansibility with the hierarchy routing of communication capacity in wireless sensor network Role be to select well.
The present invention is further described below combined with specific embodiments below.
As shown in figure 4, a kind of multi-level clustering architecture of wireless sense network, there are A-K totally 11 cluster head structures, partition the network into It is 4 layers, respectively the 0th layer of cluster network, the 1st layer of cluster network, the 2nd layer of cluster network and the 3rd layer of cluster network;Data pass through leader cluster node Transmitting is until aggregation node between cluster.In the cluster network, logic connecting relation is existed only between the cluster head of adjacent layer, same layer net Logic connecting relation is not present between the cluster head of network.There are in the cluster head of logic connecting relation, the cluster head in upper layer network is known as Father's cluster head, the cluster head in lower layer's network are known as submanifold head.
Its construction method, the mainly multi-level cluster structure by using aggregation node as starting point, completing the whole network from the near to the distant It builds;
Specifically comprise the following steps,
The adjacent information of neighbor nodes of Hello message collection is regularly sent after sensor node deployment, between node, is used Beaconing nodes location algorithm based on RSSI ranging establishes relative coordinate system using aggregation node as beaconing nodes, and each node is protected Deposit its coordinate information;
Step A is wirelessly communicated in radius centered on aggregation node, by sensor node in the netinit stage Sensor node is divided into the 0th layer of cluster network;Whether clustering architecture is had been added to according to node, by node divisions all in network For cluster node and blank node, cluster node is the node for having been added to clustering architecture, it is on the contrary then be blank node;
Step B constructs the 1st layer of cluster network using sensor node On Schemes Of Energy Balance method;
Step B1 calculates each sensor node energy-consuming balance value in the 0th layer of cluster network described in step A, and broadcasts cluster Request message is constructed, the energy-consuming balance value calculating method of node i is as follows:
Indicate the primary power of node i, J is the set of all neighbor node j of node i;| | indicate element in set Number;D () indicates the Euclidean distance between two nodes.
Step B2, after the cluster for receiving all 0th layer of neighbor nodes constructs message, blank node selection has maximum energy consumption Clustering architecture is added into cluster message request as cluster head, by replying in the neighbor node of equilibrium valve;
Step B3, the 0th node layer receive blank node enter cluster message after, detect whether its own is target section Point broadcasts cluster message if itself being destination node, and notice bunch member node enters sleep state;If node is in cluster net The request into clusters message that itself is destination node is not received yet after network building duration T time-out, then the node is gone forward side by side for ordinary node Enter sleep state;So far, the building of the 1st layer of cluster network is completed;
T takes 2 seconds in the step, but T can be carried out according to network size, sensor distribution characteristics, sensor communication radius etc. Adjustment;
Step C successively establishes lower layer's cluster network of the 1st layer of cluster network using cluster head ability value as foundation, that is, establishes the 2nd, 3 ... n-th layer cluster network, N >=2;The specific steps are,
Step C1, each cluster member calculates itself cluster head ability value in N-1 layers of cluster network, then broadcasts cluster building request and disappears Breath;
First, it is determined that when node i serves as cluster head role the cluster stationary value Si, calculation formula is as follows:
MiFor node i, neighbor node set, r are communication radius in same layer cluster network, and d () is indicated between two nodes Euclidean distance,WithRespectively indicate the dump energy and primary power of node j;
Then, calculate node cluster head ability value,
ZiFor the blank node set within the scope of node i communication radius;For ZiIn each node on count off According to the mathematic expectaion of amount;PiFor in node i communication radius, and belong to the set of cluster head in N-2 layers of cluster network;| | table Show the number of element in set;
Step C2 saves its cluster head ability value to neighbour after receiving the cluster building message from N-1 layers of neighbor node It occupies in table.After the cluster for receiving all upper layer neighbours cluster heads constructs message, selection wherein has the work of maximum cluster head ability value For itself cluster head, reply into cluster message;
Step C3, N-1 node layer receive n-th layer node enter cluster message after, detect whether its own is target Node broadcasts cluster message if itself being destination node, and notice bunch member node enters sleep state;If node is in cluster The request into clusters message that itself is destination node is not received after time-out yet within network struction duration T=2 seconds, then the node is common section It puts and enters sleep state;So far, the building of n-th layer cluster network is completed;
T takes 2 seconds in the step, but T can be carried out according to network size, sensor distribution characteristics, sensor communication radius etc. Adjustment;
Step C4 repeats step C1-C3, until completing the cluster network struction of entire wireless sense network;
The member node that n-th layer cluster head and the covering of these cluster heads are undertaken in this step constitutes n-th layer cluster network.
Cluster head update method in the above-mentioned multi-level clustering architecture of wireless sense network, specifically comprises the following steps,
Step A, cluster head i are assessed whether can satisfy and are continued to carry on a shoulder pole according to the factors such as dump energy, flow load using following formula Appoint cluster head, if following formula is unsatisfactory for, goes to step B and carry out cluster update;
Indicate the dump energy of cluster head i,Indicate that cluster head i's consumes being averaged for energy in a wheel data transmission Value, CiFor the submanifold head set of cluster head i, UiFor the member node set of cluster where cluster head i;With the bunch member node j of cluster head i The mathematic expectaion of reported data amount, Li、LjRespectively indicate the mathematic expectaion of the flow load of cluster head i and its submanifold head j;
Step B, cluster head i by broadcast cluster update message, notify its neighbor node this enter cluster head more new state;It is then adjacent Node j is occupied according to neighbours' cluster head information in the adjacent two layers of both sides position, the dump energy of j and place level, is counted as the following formula The cluster head ability value of itself is calculated,
D () indicates the Euclidean distance of cluster head i and node j,Indicate the dump energy of node j, CjIndicate node Cluster head set, P in lower layer's network in the communication radius of jjIndicate in node j communication radius cluster head set, P in upper layer networkkIt indicates In the communication radius of node j in lower layer's network cluster head father's cluster head set, J be all neighbor node j of cluster head i set;| | table Show the number of element in set;
Step C, cluster head i elect the node with maximum cluster head ability value as new cluster head, then respectively by cluster head i, new cluster Head broadcasts cluster head in respective communication radius and replaces message, and completes role transforming;
Step D receives the cluster head replacement message of cluster head i but does not receive the node of the cluster head replacement message from new cluster head Judge whether there are cluster head neighbours in its communication range according to neighbor table, if any then to the maximum neighbours' cluster head transmission of cluster head ability value Message is added in request, otherwise enters isolated node state.Isolated node selects the maximum neighbor node of dump energy to relay data, During the later period network operation, the cluster with maximum cluster head ability value is added when such as receiving new cluster head broadcast message;
Step E, cluster isolate cluster and execute step B and C progress cluster update caused by updating.
Distributed routing method between a kind of wireless sense network cluster, obtains from the multi-level cluster construction method of wireless sense network above-mentioned To there is logically the virtual cluster head networks of multi-connection relationship to carry out tree-shaped distributed routing.The present invention uses interference factor as choosing Select the foundation of next-hop node.Concrete scheme is as follows:
Step A, between cluster head by the mutual logic connecting relation of Hello message exchange, cluster head load estimation value and from The interference factor of body, and be recorded into respective neighbor table;
In neighbor table, father, son, same layer relationship between the cluster head directly formed during cluster network struction are marked;
The calculation formula of cluster head i load estimation value is as follows in this step,
Li、OjRespectively indicate the load estimation value of cluster head i and its submanifold head j, PjIndicate father's cluster head set of cluster head j, CiTable Show the submanifold head set of cluster head i, UiThe member node set of cluster where cluster head i,It indicates using i as member in the cluster of cluster head The mathematic expectaion of node j reported data amount;| | indicate the number of element in set.
Step B updates and transmits the interference factor transmitted to neighbours' cluster head data with maintenance cluster head i data;
Update and maintenance of the cluster head i data transmission to the data transmission interference factor of neighbours' cluster head, meter are determined in this step It is as follows to calculate formula,
The right first item calculates cluster head i to the annoyance level of the submanifold head data transmission of all members in his father's cluster head set (Fig. 1);Section 2 calculates the annoyance level (Fig. 2) that cluster head i transmits member datas all in its submanifold head;Section 3 calculates cluster The annoyance level (Fig. 3) that head i transmits all same layer neighbours cluster head data;
Pi、PkFather's cluster head set of respectively cluster head i and k, CjFor the submanifold head set of cluster head j, CiIndicate the son of cluster head i Cluster head set, MiFor same layer cluster head set within the scope of cluster head i communication radius, LkIndicate the load estimation value of cluster head k;| | indicate collection The number of element in conjunction.
Step C, lower layer network cluster head j are using each father's cluster head interference factor calculated as foundation, under determining that each father's cluster head is One probability jumped;
Calculation method is as follows,
PjIndicate father's cluster head set of cluster head j, IFj,iFor the interference factor of father's cluster head i of cluster head j, IFj,kFor cluster head j's The interference factor of father's cluster head k;XjThe neighbours' cluster head quantity for having obtained interference factor value by Hello message for cluster head j, has not been obtained The cluster head i interference factor value IF of interference factoriIt is 0, and the probability for being selected as next-hop is| | indicate element in set Number.
The above description is only an embodiment of the present invention, is not intended to restrict the invention.The present invention can have various conjunctions Suitable change and variation.Any modification, equivalent substitution, improvement and etc. done within the spirit and principles of the present invention, should all It is included within protection scope of the present invention.

Claims (3)

1. distributed routing method between a kind of wireless sense network cluster characterized by comprising
Step A, between cluster head by the mutual logic connecting relation of Hello message exchange, cluster head load estimation value and itself Interference factor, and be recorded into respective neighbor table;
In neighbor table, mark what cluster network struction was directly formed in the process, or rely on range difference between cluster network and aggregation node Father, son, same layer relationship between the cluster head that isomery is built;
Step B updates and transmits the interference factor transmitted to its neighbours' cluster head data with maintenance cluster head i data;
Step C, lower layer network cluster head j determine each father's cluster using each father's cluster head interference factor calculated in above-mentioned steps B as foundation Head is the probability of next-hop;
Interference factor in the step B, calculation formula is as follows,
The right first item calculates annoyance level of the data transmission to its all father's cluster head of cluster head i;Section 2 calculates cluster head i to it The annoyance level of all submanifold head data transmission;Section 3 calculates the interference that cluster head i transmits all same layer neighbours cluster head data Degree;
Pi、PkFather's cluster head set of respectively cluster head i and k, CjFor the submanifold head set of cluster head j, CiIndicate the submanifold head collection of cluster head i It closes, MiFor same layer cluster head set within the scope of cluster head i communication radius, LkIndicate the load estimation value of cluster head k;| | indicate member in set The number of element.
2. distributed routing method between a kind of wireless sense network cluster according to claim 1, it is characterised in that: in step A The calculation formula of cluster head i load estimation value is as follows,
Li、OjRespectively indicate the load estimation value of cluster head i and its submanifold head j, PjIndicate father's cluster head set of cluster head j, CiIndicate cluster The submanifold head set of head i, UiThe member node set of cluster where cluster head i,It indicates using i as member node j in the cluster of cluster head The mathematic expectaion of reported data amount;| | indicate the number of element in set.
3. distributed routing method between a kind of wireless sense network cluster according to claim 1, it is characterised in that: in step C, Lower layer network cluster head j determines that each father's cluster head is the probability of next-hop, calculation method is such as using his father's cluster head interference factor as foundation Under,
PjIndicate father's cluster head set of cluster head j, IFj,iFor the interference factor of father's cluster head i of cluster head j, IFj,kFor father's cluster head of cluster head j The interference factor of k;XjNeighbours' cluster head quantity of interference factor value has been obtained by Hello message for cluster head j, have not been obtained interference because The cluster head i interference factor value IF of soniIt is 0, and the probability for being selected as next-hop is| | indicate the number of element in set.
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