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Research of Clustering Routing Protocol Based on Energy for WSN

Author: YangShuLing
Tutor: SuoHongGuang；HongLi
School: China University of Petroleum
Course: Applied Computer Technology
Keywords: Wireless sensor networks Clustering routing protocol Energy load Intercluster multi-hop MATLAB
CLC: TN915.04
Type: Master's thesis
Year: 2009
Downloads: 164
Quote: 1
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Abstract

Wireless sensor networks have serious energy constraints, the design of energy efficient routing protocol in order to prolong the survival time of the network, the wireless sensor networks face significant challenges. Clustering routing technology will help improve energy utilization in wireless sensor networks and network scalability. In the sub-cluster routing protocol, the cluster head with the base station using multi-hop communication, since the first cluster near the base station itself in the same data to the base station, the base station also forwards remote from the cluster head data such premature consumption and failure to make their own energy, resulting in uneven energy consumption problem, reduce network survival time; Meanwhile, the distribution of nodes within the cluster heads of different densities so that the number of members of different, can cause uneven energy consumption problem; Also, if the remaining low energy selected as the cluster head node is still also cause energy load. Therefore it is necessary in the design of clustering routing algorithm considering node energy load balancing node energy consumption. The overall situation from the network, the energy consumption for the corresponding imbalance, and learn from existing clustering routing protocols excellent ideas put forward based on the global energy balance clustering routing protocol algorithm OEBCR (Overall Energy-Balanced Clustering Routing Protocol). OEBCR clustering algorithm based on the use of non-uniform clustering on the basis of ideology, into the node density factor, the candidate cluster head based on the distance from the base station with different node density is constructed structure is not the same as the size of the cluster. When the node distribution density function is similar, the cluster node from the base station near the base station relatively far from the node radius smaller by reducing the number of cluster members to reduce the burden of energy consumption within the cluster, some of the energy used to keep the communication between clusters, thereby the first cluster relatively uniform distribution of energy consumption; when the distance between the node and the base station is similar, the distribution density function of the node cluster large relatively small radius, by balancing the number of cluster members so that energy consumption is relatively uniform cluster head. In the first cluster head competition so that the remaining energy of the higher probability that a node has a larger cluster head election as a candidate, the candidate cluster head competition last cluster head, through the introduction of energy than neighboring candidate cluster head parameters, OEBCR algorithm avoids the low residual energy selected as the cluster head node. In addition, inter-cluster multi-hop routing algorithm, the cluster head chooses the next hop relay cluster head node, considering the energy cost of link and node residual energy, according to the weight choose the optimal path. Finally, on OEBCR algorithms using MATLAB simulation. Experimental results show that the algorithm to effectively balance the cluster first energy consumption, the overall energy balance of the node is good, improve the energy efficiency of the nodes, preferably extending the network lifetime.

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