Energy-aware method in connected asymmetrical point coverage wireless sensor network using ant colony algorithm

in recent years Development of sensor networks and interest in their use has made many researches to focus on these networks. There are several limitations in the sensors and they result in desirable research on evolutionary algorithms, which have been formed inspired by the nature or human communities. One of the evolutionary algorithms is ant colony optimization algorithm, which has shown very good properties in convergence speed and high accuracy for solving big problems and achieving optimal point for different objective functions. In this paper, the optimal choice of active sensors and a path to send data is performed by ant colony optimization algorithm. The study tries to select optimally in order to reduce energy consumption and extend the lifetime in a point coverage network using this method. Comparison results of the proposed algorithm with other methods show that the proposed method has better performance than the other algorithms. The reason for this superiority is to select Monitoring sensors and data transmission path to the sink simultaneously by ant colony optimization algorithm. This can be effective in increasing lifetime and reducing energy consumption.