A dynamic balanced-energy sleep scheduling scheme in heterogeneous wireless sensor network

Abstract

In energy constrained wireless sensor networks, it is very important to conserve energy and prolong active network lifetime while ensuring proper operations of the network. To extend the lifetime of a sensor network, one common approach is to dynamically schedule sensors? work/sleep cycles (or duty cycles). In our work we have considered cluster based heterogeneous wireless sensor network, by deploying a large number of low power sensor nodes and a small number of more powerful, special nodes to serve as cluster heads (CHs). We propose a sleep scheduling scheme on our heterogeneous network for balancing energy consumption rates in low power sensor nodes. We consider three factors contributing to the nodes scheduling decision - distance of node from CH, residual energy of the nodes and backlog-information-buffer-queue . We have used a multiple criteria decision making method to optimize the sleep scheduling process. Simulation results show that the proposed scheme is effective in prolonging active lifetime of the network.