International Journal of Computer Science Issues

More than a traditional journal...

A wireless sensor network (WSN) consists of a large number of sensor nodes with limited batteries, which are deployed randomly over an area to collect data. Therefore, it is important to minimize energy consumption of each node, which leads to the extension of the life of the network. As many of data that detected could be redundant or not important, optimization for data collection could be a good technique for saving energy in sensor nodes to extend the network lifetime. Our goal is to design an intelligent WSN that collects a maximum data and processes them intelligently. To achieve this goal we used a system of multi-agent (SMA) to process data, reduce redundancy, eliminate non-useful data and establish cooperation between sensor nodes. We also used mobile agents (MAs) to collect this data and send them to the base station (Sink). Due to the mass of data, and in order to reduce the messages sent between sensor nodes, the network is decomposed into clusters. In addition, nodes cooperate with their neighbors in order to collect the maximum data and eliminate redundant data between sensor nodes. Successive simulations in large-scale WSNs show the ability of the proposed data collection system to extend the life of the network in terms of energy consumption and packet delivery rate.