A Intelligent Wireless Sensor Network Management Based on a Multi - Agent System

The main goal of wireless sensor networks (WSN) is to gather data from their environment. This gathering should take into consideration the life of the battery of each sensor node to maintain the continuity of the network. The technology of multi-agent system (MAS) can be adopted in large scale WSN for reliable wireless communication with high energy efficiency. In this paper, we propose a scheme for data collection based MAS for sensor networks based on clustering with the use of a mobile agent to collect data according to a routing scheme. The main idea is to assign nodes to the data processing function rather than providing data to the base station (Sink). For this, an agent is introduced into each node of the network to process data locally and to judge their importance to remove any irrelevant redundant data. Then, the nodes are clustered together, each consisting of a ClusterHead. The latter will then determine a scheme for the nodes belonging to the same group, using the Local Closest First (LCF) algorithm. In addition, for the agents (nodes) in a cluster cooperate to eliminate inter-node data, we propose a mobile agent (MA) sent by the Sink to collect data between the cluster nodes according to the LCF itinerary. Successive simulations in large-scale WSN with different densities show the capacity of the proposed collecting regime to extend the lifetime of the network in terms of energy consumption and the rate of packet