Load Balancing Based Approach to Improve Lifetime of Wireless Sensor Network

ABSTRACT In wireless sensor network, clustering is used as an effective technique to achieve scalability, selforganization, power saving, channel access, routing etc.[3

Cluster Based Optimization of Routing in Distributed Sensor Networks Using Bayesian Networks with Tabu Search

This paper proposes a cluster based optimizat ion of routing in Distributed Sensor Network (DSN) by employing aBayesian network with Tabu search approach. Bayesian Network based approach is used to select efficient clusterheads, as well as construction of Bayesian Networks for the proposed scheme. This approach incorporates energylevel of each node, bandwidth and link efficiency. Simulations have been conducted to compare the performance ofthe proposed approach and LEACH.The optimization of routing is considered as a design issue in DSNs due to lack of energy consumption, delayand maximum time required for data transmission between source nodes (cluster heads) to sink node. In this work,optimization of routing takes place through cluster head nodes by using Tabu search. This meta - heuristic techniqueis used to optimize the routing in the DSN environment that guides a local search procedure to explore the solutionspace beyond local optimality. The objective of the proposed work is to improve the performance of network interms of energy consumption, throughput, packet delivery ratio, and time efficiency of optimizat ion of routing. Theresults shows that the proposed approach perform better than LEACH protocol and proposed protocol utilizesminimum energy and latency for cluster formation, thereby reducing the overhead of the protocol