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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 sensorsÂ¿ 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.
Date of Conference: 12-14 Dec. 2008