A Multi-criterion Data Aggregation Scheme for WSN

The basic role of a wireless sensor network (WSN) is to collect information from the environment by many sensor nodes (SNs). The SN typically has a finite battery life and nodes´ failures can lead to network partition. Therefore, it is important to minimize the energy usage of each sensor node and to manage the power of SN in critical position that their failure could divide the network. The current paper proposes a data aggregation scheme based on a multi-agent system to reduce the amount of communicated information and hence to reduce the power consumption. In addition, this approach manages the power of each SN following several criteria like its resident power, the importance of its information, the network density and its position within the WSN. Through successive simulations, in different network scales, the proposed algorithm proved interesting results in term of power consumption optimization and power management of nodes in critical positions.