4-MASCLE - Improved Coverage Aware Clustering with Self Healing Abilities

Abstract

In large wireless sensor networks, randomly deployed nodes have to organize themselves as energy efficient as possible to avoid redundant sensor and transceiver operations. In addition to its energy awareness, the network has to guarantee complete functionality as long as possible. This paper presents an enhanced version of the clustering algorithm 2-MASCLE. The proposed 4 MASCLE algorithm combines advantages of temporal and spatial network fragmentation by introducing a network division in a four phase based cell system. The assisting ability of adjacent cells is exploited to apply self healing features to the network. We compare our developed algorithm to the basic algorithms and achieve a significant improve of network lifetime.