International Journal of Engineering and Technology

Maximizing the Wireless Sensor Networks (WSNs) lifetime is one of the most remarkable studies in the academic and the industrial research. In the existing Base station locations, the sensor network lifetime is short due to higher energy consumption. Higher energy consumption is due to the non-optimized location of base station. Non optimized location increases the distance between the sensor nodes to the base station, so it will not transfer the data directly to the base station. Each node transfer the data to the neighbor node and finally it reaches the base station. Due to transferring of the data to the neighbor node increases the data rate step by step and also the number of sensor nodes increases the optimal location of base station to become complex. So the main objective is to find optimal base station location to reduce energy consumption and to maximize the network’s lifetime in wireless sensor networks and to find the optimal path for all sensor nodes to the base station to analyze its lifetime. In this paper, an algorithm based on Gravity Location Model and data routing based on particle swarm optimization (PSO) are thus proposed for efficient energy consumption and data routing.