A Novel Clustering Routing Protocol Algorithm for Wireless Sensor #br#
Network Based on Energy Balance

doi:10.3969/j.issn.1006-2475.2015.07.020

Abstract

Abstract:

In order to prolong life time of wireless sensor network, a novel routing protocol of wireless sensor network based on energy balance is proposed. Firstly, the

synergic curve number of cluster heads will be found under the principle of the minimum potential energy, and then are divided into clusters by district, and the optimized

cluster will be selected according to the node residual energy and the communication cost, and replace the cluster dynamically, finally, the simulation experiment is carried out

to test the performance. The simulation shows that compared with LEACH protocol, the proposed protocol can reduce energy and improve the network node survival rate

significantly.

Key words: wireless sensor network, clustering, energyefficient, clustering head selection

CLC Number:

TP393

ZHANG Yanan， MA Shihuan. A Novel Clustering Routing Protocol Algorithm for Wireless Sensor #br# Network Based on Energy Balance[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2015.07.020.

References

［1］
杨庚,陈伟,曹晓梅. 无线传感器网络安全［M］. 北京:科学出版社, 2010:1-3.
［2］ Raghunathan V, Ganeriwal S, Srivastava M. Emerging techniques for long lived wireless sensor network［J］. IEEE Communications Magazine, 2006,44(4):108-114.
［3］ Boyinbode O, Le H, Mbogho A. A survey on clustering algorithms for wireless sensor networks［C］// 2010 the 13th Internationnal Conference on Networkbased Information

Systerms. 2010:358-364.
［4］ Reddy B B, Rao K K. A modified clustering for LEACH algorithm in WSN［J］. International Journal of Advanced Computer Science and Applications, 2013,4(5):79-83.
［5］王瑞锦,秦志光,王佳昊. 无线传感器网络分簇路由协议分析［J］. 电子科技大学学报, 2013,5(3):400-405.
［6］沈波,张世永,钟亦平. 无线传感器网络分簇路由协议［J］. 软件学报, 2006,17(7):15881600.
［7］田炜,杨震. 新的位置感知分簇协议［J］. 通信学报, 2010,3l(3):25-30.

［8］苏国栋,王平,徐世武,等. 基于模糊逻辑的无线传感器网络分簇路由协议［J］. 计算机系统应用, 2013,22(7):116-121
［9］ Kashyap C, Lade S, Malviya N. Threshold constrained member clustering performance comparison against other WSN clustering algorithms［J］. International Journal of

Engineering and Innovative Technology(IJEIT), 2013,9(2):212-215.
［10］顾丽娟,李平,夏永成. 传感器网络中加入助理簇头的分簇协议研究［J］. 计算机工程与应用, 2011,47(3):97-99.
［11］戴世瑾,李乐民. 高能量有效性的无线传感器网络数据收集和路由协议［J］. 电子学报, 2010,38(10):2336-2341.
［12］蒋畅江,石为人,唐贤伦,等. 能量均衡的无线传感器网络非均匀分簇路由协议［J］. 软件学报, 2012,23(5):1222-1232.
［13］Merin Achankunju, Pushpalashmi R, Kuma A Vincent Antony. Particle swarm optimization based secure QoS clustering for mobile Ad hoc network［C］// IEEE International

Conference on Communication and Signal Processing. 2013:315-320.
［14］Nancharaiah B, Mohan B Chandra. MANET link performance using ant colony optimization and particle swarm optimization algorithms［C］// IEEE International Conference on

Communication and Signal Processing. 2013:767-770.
［15］张震,闫连山,潘炜. 基于LEACH和PEGASIS的簇头成链可靠路由协议研究［J］. 传感技术学报, 2010,23(8):1173-1178.
［16］李顺康,李茂明,张文生. 一种基于改进遗传算法的图像分割方法［J］.计算机应用研究,2009,26(11):4364-4367.
［17］陈静,张晓敏. 无线传感器网络簇头优化分簇协议及其性能仿真［J］. 计算机应用, 2006,26(12):2787-2788,2792.

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A Novel Clustering Routing Protocol Algorithm for Wireless Sensor #br# Network Based on Energy Balance

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