EBTM : AN ENERGY-BALANCED TOPOLOGY METHOD FOR WIRELESS SENSOR NETWORKS

This work proposes a new energy-balanced topology method (EBTM) for wireless sensor networks (WSNs), based on the modern complex network theory. Due to the limited energy and transmission ability of sensor nodes, the next link node in EBTM is chosen according to not only conventional features – the residual energy and the node degree, but also new features – the transmission energy consumption and the transmission pressure between two nodes. Hence, a flow pressure estimation model is established and inconsistent initial edge weights are introduced in this paper, which result in various nodes-selected strategies in different regions. Moreover, in order to better adapt to diverse demands in reality, tunable parameters for the new method are proposed. In the experiments, EBTM is compared with BA, EAEM and FASF, and the experimental results show that EBTM outperforms the other algorithms with longer network lifetime and better robustness.

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