Authors : S. Jothi Muneeswari, S. Ganapathy and A. Kannan
Abstract: In Wireless Sensor networks, there is a limitation on the packet delivery ratio and energy consumption. Moreover, the data gathering also needs improvement by the use of intelligent techniques. In order to overcome these problems, we propose a new Particle Swarm Optimization (PSO) and cluster based routing and data gathering algorithm for effective data collection and routing in mobile wireless sensor networks. Moreover, a combined metric is used for intelligent routing by combining the traffic load, packet delivery ratio and residual energy. Then, the fitness function of proposed PSO based routing algorithm is able to provide an optimal value by considering the combined metric. The main advantage of the proposed routing algorithm is that it helps to perform load balancing for routing with respect to cluster loads. The cluster head aggregates the data collected from its members and transmits the same to the base station. Through simulation results, we show that the packet delivery ratio is increased and energy consumption is reduced when the proposed routing algorithm is used along with data gathering using PSO.
S. Jothi Muneeswari, S. Ganapathy and A. Kannan, 2016. Intelligent Data Gathering and Energy Efficient Routing Algorithm for Mobile Wireless Sensor Networks. Asian Journal of Information Technology, 15: 921-927.