文献类型：期刊文献

英文题名：Energy harvesting aware topology control with power adaptation in wireless sensor networks

作者：Tan, Qian[1,2];An, Wei[1];Han, Yanni[1];Liu, Yanwei[1];Ci, Song[1,3];Shao, Fang-Ming[4];Tang, Hui[1,2]

机构：[1]Chinese Acad Sci, IOA, High Performance Network Lab, Beijing 100190, Peoples R China;[2]Chongqing Univ, Sch Commun Engn, Chongqing 400039, Peoples R China;[3]Univ Nebraska, Dept CEEN, Omaha, NE 68182 USA;[4]E China Univ Sci & Technol, Sch Sci, Shanghai 200237, Peoples R China

年份：2015

卷号：27

起止页码：44

外文期刊名：AD HOC NETWORKS

收录：;EI(收录号：20150300429073);WOS:【SCI-EXPANDED(收录号:WOS:000349732400003)】；

基金：This work is supported in part by Important National Science and Technology Specific Project under Contracts 2012ZX03003006-004, the National Natural Science Foundation of China under Grant Nos. 61102077, 61302031 and 11161140319, and the National Science Foundation of USA under Grant Nos. 1145596 and 0830493.

语种：英文

外文关键词：Energy harvesting; Capacity; Topology control; Nash equilibrium

摘要：In the recent years, energy harvesting technology has been integrated into wireless sensor networks for resolving the energy "bottleneck" problems caused by the limited-capacity batteries equipped in traditional sensor nodes. However, due to the limited capacity of energy buffers equipped for storing the harvested energy, excessive harvested energy is indiscreetly discarded while sensor nodes are staying at the status of energy saturation. To address this issue, we present a topology control approach, for the energy harvesting wireless sensor network, that allows each node to adaptively adjust its transmission power for utilizing the harvested energy effectively. Specifically, we first model the behaviors of sensor nodes as an ordinal potential game where the high harvesting power nodes cooperate with the low harvesting power nodes to maintain the connectivity of the whole network. And we theoretically prove the existence of a Nash equilibrium for the game. Then, a polynomial-time algorithm is proposed to achieve the Nash equilibrium. Simulation results show that our proposed scheme improves the energy availability and outperforms existing energy-aware schemes in terms of energy conservation and balanced distribution. (C) 2014 Elsevier B.V. All rights reserved.