Clustering with case-based reasoning for wireless sensor network

In wireless sensor network one of the key issues is how to maximize the network lifetime since it consists of sensor nodes of limited energy. Numerous cluster-based routing schemes have been proposed for sensor networks. Here various important factors such as sensing coverage and distribution of live nodes need to be effectively accounted in forming the clusters. In this paper we propose a new scheme which considers the nodes' remaining energy, distance between the nodes, and sensor coverage in clustering the nodes. We also employ the case-based reasoning technique in the clustering process. Compared with the existing cluster-based protocols such as LEACH and Coverage-Preserving protocol through computer simulation, the proposed scheme allows substantially enhanced network lifetime and coverage. Especially, it is more effective when the network has been used for a while and thus some nodes have become inoperable.