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Hardware Design And Clustering Study Of Wireless Sensor Networks

Posted on:2012-02-23Degree:MasterType:Thesis
Country:ChinaCandidate:J X HeFull Text:PDF
GTID:2298330467964889Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Wireless sensor network is composed of numerous isomorphic or heterogeneous tiny sensor nodes which have the ability of wireless communication and calculation. The node is deployed in unmanned areas, and can monitor the object or complete the assigned task. After that the message will be sent to the termination. It will be one of the technologies which will affect greatly the lifestyle in21th century.The routing protocol of wireless sensor network is very important to the performance of network. Because the power of wireless sensor network nodes which have a large number is limited, and the hardware resource is restricted, the routing protocol is different from the traditional routing protocol. So how to design the efficient routing protocol of wireless sensor network to extend the life cycle of network turn into the focus of research. As a classic routing protocol, LEACH can extend the life cycle of network, but it still exist many problems.In this article the LEACH routing protocol is researched. Because the LEACH’s cluster heads are generated randomly, the number and distribution of heads are uneven, though regulator is added. So the life cycle of network is affected. This design based on the research of nodes partition clustering. The wireless sensor network area is divided into several parts, then the head will be chose from every part, so the number of head is fixed to the best clustering number, and the distribution of heads will be improved, too. This paper divides the node-dividing clustering into two kinds of clustering which contain dividing method and competing method by the general nodes’ clustering, and they are simulated to compare. The GA is used to optimize the nodes partition clustering.
Keywords/Search Tags:Wireless sensor network, Life cycle, Clustering, LEACH routing protocol, Genetic algorithm
PDF Full Text Request
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