Modified OCABTR based Hierarchical Two Level Data Aggregation in Wireless Sensor Networks
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 3
Abstract
In Wireless Sensor Network (WSN), it is necessary to optimize the energy of the sensor node. Each sensor node is equipped with a battery which is used for sensing and processing the data. Cluster based data aggregation and transmission reduce the communication overload by eliminating the redundant data transmission. In this paper, an energy efficient hierarchical data aggregation technique based on Optimized Cluster Algorithm Based on Target Routing (OCABTR) is proposed. In this approach, data aggregation is performed twice in order to reduce the data size so that network life time can be increased. Genetic algorithm is used for self-organizing the nodes into clusters based on the nodes sensing the similar targets and cluster head election is performed based on the cost and energy of the node. Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol is used. The proposed technique is simulated using Network Simulator and various performances have been studied.
Authors and Affiliations
J. Rejina Parvin , Dr. C. Vasanthanayaki
Keywords
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