combining harmony search algorithm and ant colony optimization algorithm to increase the lifetime of wireless sensor networks

wireless sensor networks are the new generation of networks that typically are formed great numbers of nodes and the communications of these nodes are done as wireless. the main goal of these networks is collecting data from neighboring environment of network sensors. since the sensor nodes are battery operated and there is no possibility of charging or replacing the batteries, the lifetime of the networks is dependent on the energy of sensors. the objective of this research, is to combine the harmony search algorithm and ant colony optimization algorithm, as successful meta heuristic algorithm to routing at wireless sensor to increase lifetime at this type of networks. to this purpose, algorithm called hs-aco is suggested. in this algorithm, two criterion of reduction consumption of energy and appropriate distribution of consumption energy between nodes of sensor leads to increase lifetime of network is considered. results of simulations, show the capability of the proposed algorithm in finding the proper path and establishment appropriate balance in the energy consumed by the nodes. propose algorithm is better than harmony search algorithm and ant colony optimization algorithm and genetic ant algorithm.