Sensor selection wireless multimedia sensor network using gravitational search algorithm

Abstract

A wireless sensor network consists hundreds or thousands of sensors with limited computing power and memory, which give the information from the environment and then analyze and process the data and also send the sensed data to other nodes or basic stations. In these networks, sensing nodes have with a limited battery to provide the energy. Since in these networks, energy is considered as a challenging problem, we decided to propose a new algorithm based on the gravitational search algorithm to prolong the network lifetime and achieve maximum coverage of target area. Performance of the proposed algorithm is evaluated through simulations and compared to GA algorithm. Experimental results show that the proposed algorithm has more appropriate sensor selection to compared algorithm. In fact, total coverage increased by 2 percentage and we have 5 percentages more alive sensors in network when reached to coverage threshold.