| Wireless sensor network is one of the top ten emerging industries in21st century, andthe the key technologies of Internet of Things.With the rapid development of informationtechnology and CMOS technology, the sensor miniaturization, low energy consumption andmuti-function change can be realized. It can be deployed in a variety of environments ofwireless sensor network.With the deep industrial application and promotion in WSNs, the use range is expanding.However there emerges a serial of problem, such as serious energy dissipation, the unbalanceof residual energy, poor organization and anti-destroying ability. It is difficult for traditionalresearch methods to solve these new problems.It has gradually caught researchers’ attention ofusing the related knowledge of complex network to study topology structure characteristicsand growth evolution mechanism of wireless sensor network, optimize network routing, andsolve some new problems in large-scale wireless sensor network. It becomes a hotspotresearch of cross area of computer science and complex network.Based on the above analysis, we use the relative knowledge of complex network,combined with the characteristics of wireless sensor networks, to try to address and improveenergy efficiency，robustness and survivability in wireless sensor network’s nodes. The maincontents of this article are as follows:(1) Put forward a protocol of MESD for the bridge structure health monitoring.This part takes the advantage of the typical LEACH algorithm to study energy efficiencyfactor in small scale of wireless sensor network.Combined with the practical features of thebridge structural health monitoring, a maximum residual energy and minimum distanceMESD protocol has been proposed. The algorithm is able to protect the minimum residualenergy node, and balance the energy consumption of all other nodes, which can significantlyimprove the overall life of the sensor nodes.(2) Put forward a kind of node weigh evolution model for wireless sensor network.According to the BA model and the Li-Chen model, we improve the efficiency ofsynergy between the large-scale heterogeneous nodes in wireless sensor network, andoptimize the heterogeneous node topology structure, so that improve the node energyutilization ratio. The heterogeneous node contains two kinds of nodes of the normal nodes andcluster head node. Normal node can only connect and communicate with the cluster headnode, cluster head node can be connected each other. Due to the BA evolution mechanismmodel, the degree of nodes is with Matthew effect. Therefore associated with an increasedlimit factors in the model to adapt to the reality of the WSN characteristics. (3) Put forward two kinds of edge weigh evolution model for wireless sensor network.Researches show that the edge weight of wireless sensor network node is proportional tocommunication flows, so we study edge weight combine edge weight with node energyconsumption in wireless sensor network. We put forward two edge weight evolution models.The first model is a meaningful development of the original BBV model and the local worldmodel. We add the constraint mechanism of the weighted growth in the BBV model, thus toform a limited wireless sensor network weighted network evolution model and can generatescale-free network property of wireless sensor network. Therefore we can improve thenetwork energy efficient and anti-destroying ability and reduce information redundancy andsignal crosstalk. The second model is directed edge weight evolving model. The model isdesign for the case of different scale of new incoming sensor nodes and unequal nodesmessage traffic, so proposes a directed edge weight network evolution model. Simulationresults show that the two edge weight model can form the corresponding scale-free scene ofWSN, and can reduce the amount of information exchange, optimize network structure.Moreover the two models can improve the networks’ node energy utilization andanti-destroying ability, reach the purpose of forming efficient clustering model. |
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