Efficient Load Balanced Routing Algorithm Based On Genetic And Particle Swarm Optimization
Wireless sensor network (WSN) is a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. Sensor networks pose a number of new conceptual and optimization problems such as location, deployment and tracking in that many applications rely on them for needed information. Unbalanced Clustering Architecture and unbalanced energy consumption are inherent problem in WSNs. This uneven energy dissipation can significantly reduce network lifetime. In existing system, the cluster was balanced using Balanced Clustering Algorithm with Distributed Self Organization (DSBCA) and then the network lifetime was improved by creating efficient path from source to destination using A-star. The proposed system is based on the optimal path for routing with better network lifetime and lesser energy consumption using Modified Particle Swarm Optimization (MPSO) and Artificial Bee Colony (ABC).
K.Selvakumar, Dr.M.Senthamil Selvi
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