计算机工程与应用2018，Vol.54Issue(3)：87-93,7.DOI:10.3778/j.issn.1002-8331.1608-0366
基于概率优化的水下通道感知能量优化路由
Underwater channel sensing energy optimization routing based on probabilistic optimization
摘要
Abstract
For the problems about energy loss is large and delay to more serious in underwater sensor networks, a under-water channel sensing energy optimization routing based on probabilistic optimization is proposed(PPUN). On energy optimization, for additional energy loss problem caused by redundant sensing coverage, a probabilistic optimization method about the number of sensor nodes is used, which can ensure to meet the case of coverage and node connectivity rate to derive the minimum number of required network nodes and reduce the number of sensors to optimize the overall energy. For the energy loss problem of route, a channel-aware routing algorithm on the nodes link planning is used, considering the shortest node path under a certain energy loss threshold, it is necessary to avoid the shortest path of blind selection of the greater energy loss by underwater node which causes data forwarding fails and consume more energy. On the latency issues, using the main decoding delay problem, HARQ-III program is analyzed and used to control delay time. Experimental comparative analysis shows that the algorithm adopts the method of controlling sensor number and link planning, it has certain advantages in achieving energy optimization and the delay control scheme has also been good results.关键词
水下传感器网络/概率优化/通道感知路由/能量优化/延迟控制Key words
underwater sensor networks/probabilistic optimization/channel-aware routing/energy optimization/delay control分类
信息技术与安全科学引用本文复制引用
万智萍..基于概率优化的水下通道感知能量优化路由[J].计算机工程与应用,2018,54(3):87-93,7.基金项目
广东省青年创新人才自然科学基金(2014KQNCX253) （2014KQNCX253）
