文献类型：期刊文献

英文题名：Energy-aware routing algorithm in WSN using predication-mode

作者：Huang, Ru[1]; Chen, Zhihua[1]; Xu, Guanghui[2]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China; [2] Institute of Communications Engineering, PLA Univ. of Sci. and Tech., Nanjing, China

年份：2010

起止页码：103

外文期刊名：2010 International Conference on Communications, Circuits and Systems, ICCCAS 2010 - Proceedings

收录：EI(收录号：20104613394099)

语种：英文

外文关键词：Energy efficiency - Artificial intelligence - Power management (telecommunication) - Ant colony optimization - Routing algorithms

摘要：The paper presents a Predication mode based Routing Algorithm based on ACO (PRACO) to achieve the energy-aware data-gathering routing structure in wireless sensor networks (WSN). We adopt series model ARMA to analyze dynamic tendency in data traffic and deduce the construction of load factor, which can help to reveal the future energy status of sensor in WSN. By checking the load factor in heuristic factor and guided by novel pheromone updating rule, artificial ants can foresee the local energy state of networks and the corresponding actions could be adaptively taken to enhance the energy efficiency in routing construction. The simulation results show that the proposed routing building scheme can effectively reinforce the robustness of routing structure by mining the temporal associability and introducing ACO to balance the total energy cost for data transmission, which also contributes to minimize the total communication consumption, meanwhile, to prolong the lifetime of networks. ? 2010 IEEE.