Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

A wireless sensor network (WSN) plays a major role in many recent applications now such as surveillance and security, target tracking, agriculture, health and military purposes. The main problem with WSN is the energy resource for long lasting lifetime. Therefore an efficient methodology is to be implemented for improving the energy level of WSN. Also some efforts have focused on the mobility of a single or multiple sink nodes. The mobility of the sink node introduces a tradeoff between the need for frequent re-routing to optimize the performance and the minimization of the overhead resulting from this topology management. In this we propose a novel approach to increase the lifetime of a sensor network based on the mobility, static sink repositioning and multiplicity of sinks. Optimal sink position also identified using optimal search concepts and multipath routing in large scale sensor networks with multiple sink nodes for energy is implemented for entire WSN. Based on the evolution of network in terms of energy dissipation and distribution this approach reaches to find the optimal position for all the sinks in order to optimize the lifetime of the network and move according with intelligent sink positioning. The simulation result shows the efficiency of our approach in terms of energy gain.