Artificial bee colony algorithm-based multiple-source localization method for wireless sensor network

Abstract

Inspired by Artificial Bee Colony algorithm (ABC), which is widely employed in various kinds of aspects. However, there is a lack of research on source seeking problem through ABC algorithm. This paper proposes a strategy which utilizes a swarm of robots to accomplish autonomous mutilple-source localization. The location method for the strategy is based on a kind of population based stochastic optimization algorithm which is called Artificial Bee Colony algorithm (ABC). We do simulation experiments to get the most suitable parameters of the ABC algorithm according to the time and the error between each optimal solution and the source point. This strategy will minimize the overall error and maintain a shorter run time. In the future, our strategy will be utilizing in real environment, and will be employed on many kinds of different flied.