EE-UDRA:带环境元素的水下传感器网络分布式路由算法

发布时间：2019-01-19 13:15

【摘要】：现阶段的水下传感器网络(UWSN,underwater sensor networks)路由算法的研究工作大多都没有对部署的水下环境做具体分析,不同水下环境与网络性能之间的相关性研究较少,同时针对水下信道利用率低、能量消耗和延迟时间较大等问题,提出融合了环境元素的水下传感器网络分布式路由算法(EE-UDRA),分析了不同的水下传播环境以及环境元素对路由算法性能的影响,通过增长型分组队列的管理方法重点解决了水下信道利用率较低的问题,并在提高信道利用率的基础上通过分析能耗或延迟的可控因素来寻找能耗最低或延迟最小的路由路径。实验结果显示,环境元素对相同算法的运行结果带来了一定的影响。在提高信道利用率的同时,EE-UDRA算法选择的最佳路由路径在减少能量消耗,缩短延迟时间上具有较好的效果。
[Abstract]:At present, most of the research work of underwater sensor network (UWSN,underwater sensor networks) routing algorithm has not made a specific analysis of the deployed underwater environment, and the correlation between the different underwater environment and the performance of the network is less studied. Aiming at the problems of low utilization of underwater channel, large energy consumption and delay time, a distributed routing algorithm (EE-UDRA) based on environmental elements is proposed. The effects of different underwater propagation environments and environmental elements on the performance of the routing algorithm are analyzed. The problem of low underwater channel utilization is solved by the management method of the growing packet queue. By analyzing the controllable factors of energy consumption or delay, the route path with the lowest energy consumption or minimum delay is found on the basis of improving channel utilization. Experimental results show that the environmental elements have a certain impact on the results of the same algorithm. At the same time, the optimal routing path chosen by EE-UDRA algorithm can reduce energy consumption and delay time.
【作者单位】：中山大学新华学院;浙江工业大学之江学院;
【基金】：国家自然科学基金项目(11201426,61304125) 浙江省自然科学基金项目(LQ12A01020,LQ13F030010) 浙江省教育厅科研基金项目(Y201225179)
【分类号】：TN929.3;TP212.9

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