Computer Science ›› 2017, Vol. 44 ›› Issue (4): 218-222.doi: 10.11896/j.issn.1002-137X.2017.04.047

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WSN Routing Detection Algorithm Based on Energy Consumption Quantization

XU Yin-xia, JIN Guo-xiang and TAO Yi-wei   

  • Online:2018-11-13 Published:2018-11-13

Abstract: In order to reduce the energy loss of routing nodes in wireless sensor networks (WSN) and improve the lifetime of the network,it is necessary to design the optimal distribution of routing nodes.Traditional methods use channel allocation model based on CSMA/CA limited competition for WSN routing detection to achieve energy balance,but with the expansion of the network nodes and interference enhancement,saving energy consumption costs more.A WSN routing detection algorithm based on energy quantitative conduction was proposed in this paper.Firstly,the cluster energy consumption scheduling model of WSN is established and the routing detection control objective function is constructed when taking the energy control overhead,packet loss rate and transmission delay as the constraint parameters.Then the coordination mechanism of routing conflict is used to realize the quantitative distribution of energy consumption,and the optimization of WSN routing detection and WSN node deployment is achieved by the energy equilibrium model of WSN transmission channel.Simulation results show that the proposed method is superior to the traditional methods in WSN routing detection design due to its higher energy efficiency of network,lower transmission delay and bit error rate.

Key words: Energy consumption quantization transmission,Wireless sensor network,Channel,Routing,Node

[1] ZHAO G R,HAN X,DU W J,et al.Fusion estimator with stochastic sensor gain degradation for uncertain systems[J].Control and Decision,2016,31(8):1413-1418.(in Chinese) 赵国荣,韩旭,杜闻捷,等.具有传感器增益退化的不确定系统融合估计器[J].控制与决策,2016,31(8):1413-1418.
[2] QIN N N ,YU Y H,WU D E.Autonomous Deployment Algorithm in Mobile Heterogeneous Networks[J].JEIT,2016,38(7):1838-1842.(in Chinese) 秦宁宁,余颖华,吴德恩.移动混合传感网中节点自主部署算法[J].电子与信息学报,2016,38(7):1838-1842.
[3] DONG G L,RYU K S,BASHIR M,et al.Discovering medical knowledge using association rule mining in young adults with acute myocardial infarction[J].Journal of Medical Systems,2013,37(2):1-10.
[4] KHALILI A,SAMI A.SysDetect:a systematic approach to cri-tical state determination for industrial intrusion detection systems using Apriori algorithm[J].Journal of Process Control,2015,27(6):154-160.
[5] KASHI S S,SHARIFI M.Coverage rate calculation in wireless sensor networks[J].Computing,2012,94(11):833-856.
[6] WANG J,LU J Z,ZENG X F.Data aggregation scheme forwireless sensor network to timely determine compromised nodes[J].Journal of Computer Applications,2016,36(9):2432-2437.(in Chinese) 王洁,卢建朱,曾小飞.可及时确定受攻击节点的无线传感器网络数据聚合方案[J].计算机应用,2016,36(9):2432-2437.
[7] BOUDIA O R M,SENOUCI S M,FEHAM M.A novel secure aggregation scheme for wireless sensor networks using stateful public key cryptography[J].Ad Hoc Networks,2015,32(C):98-113.
[8] CHEN S,WANG G,JIA W.Cluster-group based trusted computing for mobile social networks using implicit social behavioral graph [J].Future Generation Computer Systems,2016,5(8):391-400.
[9] SUN C,YANG C X,FAN S,et al.Energy Efficient Distributed Clustering Consensus Filtering Algorithm for Wireless Sensor Networks[J].Information and Control,2015,4(3):379-384.(in Chinese) 孙超,杨春曦,范莎,等.能量高效的无线传感器网络分布式分簇一致性滤波算法[J].信息与控制,2015,4(3):379-384.
[10] CAO Y L,WANG X M,HE Z B.Optimal Security Strategy for Malware Propagation in Mobile Wireless Sensor Networks[J].Acta Electronica Sinica,2016,44(8):1851-1857.(in Chinese) 曹玉林,王小明,何早波.移动无线传感网中恶意软件传播的最优安全策略[J].电子学报,2016,44(8):1851-1857.
[11] MAHBOUBI H.Distributed deployment algorithms for efficient coverage in a network of mobile sensors with nonidentical sen-sing Capabilities[J].IEEE Transactions on Vehicular Technology,2014,63(8):3998-4016.
[12] FANG N P.Cross-Layer Energy Balanced Routing Protocol in Wireless Sensor Networks[J].Journal of Chongqing University of Technology(Natural Science),2016,0(10):122-128.(in Chinese) 房能沛.无线传感器网络跨层能耗均衡路由协议[J].重庆理工大学学报(自然科学),2016,0(10):122-128.

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