Lack of Power Avoidance: A Fault Classification Based Fault Tolerant Framework Solution for Lifetime Enhancement and Reliable Communication in Wireless Sensor Networks

Clustering provides an effective way to improve the lifetime in Wireless Sensor Network (WSN) environment. Clustering protocols in WSN requires optimal grouping for cluster heads which further leads to inter cluster communication in reliable manner. In this study, Lack of Power Avoidance (LoPA) protocol is proposed and evaluated. By using heuristic algorithms, LoPA considers heterogeneous clustering and controls the network parameters significant in low power applications. Reduction in energy consumption using this algorithm is obtained by the use of fault classification methods. Inter cluster communication is made reliable by using conditional utilization of energy of the nodes in various model of operation. Simulation results indicate that the protocol can efficiently decrease the dead speed of the nodes and prolong the network lifetime.