A routing scheme for data aggregation based on ant-like agent in wireless sensor networks

Recent developments in processor, memory and radio technology have enabled wireless sensor networks, which are deployed to collect useful information from an area of interest. Since various sensor nodes often detect common phenomena, there is likely to be redundancy in the data. Data aggregation is an essential paradigm by combining the data coming from different sources reroutes-eliminating redundancy, minimizing the number of transmissions and thus saving energy. Inspired by the social behaviors of ant colony and the technology of intelligent entity agent, in this paper, we proposed a data aggregation routing optimization method based on ant colony algorithm using agent collaboration and migration. A number of ant-like mobile agents traverse the Wireless sensor network (WSNs) in search of data aggregation paths between given source-destination node pairs while seeking to optimum migrate probability based on updating pheromone. Also, we presented an evaluation Ant colony optimation (ACO) algorithm with data aggregation gain. Our simulation results show that our algorithms perform well in energy efficient compared with LEACH and PEGASIS.