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Cluster Routing Protocol Of Wireless Sensor Network Research

Posted on:2008-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:F ZhaoFull Text:PDF
GTID:2208360215498226Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Wireless Sensor Networks is considered to be one of the technologies which willchange the life style of our human beings, as a result, in the recent years, it wins lots ofattentions all over the world, and develops rather rapidly. Energy is one of the mostimportant factors in the design of routing protocols in wireless sensor networks. This papermainly focuses on the clustering protocols in wireless sensor networks, and obtains someuseful results.This paper first introduces the characteristics and applications of wireless sensornetworks, and also analyzes the current research status of routing protocols, of which theclustering protocols are mainly discussed, and some problems are found exist in typicalclustering protocols such as cluster header selection, node management and energybalancing. Then the corresponding strategies are proposed to solve the problems broughtforward in the front chapter. For cluster header selection, TCSA(Threshold ChangingSelecting Approach) is proposed to reduce the additional energy cost; for nodemanagement, ASA(Active Selecting Approach) is produced to reduce the data redundancy;for the energy balancing problem, EBA(Energy Balancing Approach) is produced to makethe energy evenly distributed in the networks. Simulation results show that the networkenergy consumption is saved a lot with the use of these strategies in clustering protocols.At last the three proposed strategies are combined together to follow a clustering protocol,PEEBC(Power Efficient Energy-Balanced Clustering Protocol). It first uses ASA to selectsome working nodes, then TCSA is introduced to select cluster headers, at last in thesteady state phase EBA is introduced. According to the simulation results, the networkperformance is improved a lot.
Keywords/Search Tags:wireless sensor networks, clustering protocols, network lifetime, node management, threshold value, balance
PDF Full Text Request
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