基于半马尔科夫链的中小堤坝WSN节点能耗研究

Research on Node Energy Consumption of WSN in Small and Medium-sized Dams Based on Semi-Markov Chain

无线传感器网络技术的引入,为中小型堤坝监测技术的发展提供了新思路。由于无线传感器网络节点采用电池供电,而堤坝环境中的数据监测条件比较苛刻,电源更换相对困难,无线传感器网络节点能耗的优化在延长整个无线传感器网络生命周期过程中显得尤为重要。本文介绍了无线传感器网络中节点能耗的主要分布,并提出了降低节点能量消耗的策略。借助半马尔可夫链理论建立了节点能耗的数学模型,分析了WSN节点的能耗情况,在保证正常数据通信的情况下,通过对节点状态的管理,延长节点的睡眠时间,从而达到降低整个网络能耗的目的。

The wireless sensor network technology provides a new approach for the small and medium-sized dams＆#39; monitoring. Since WSN nodes are battery powered and updating batteries periodically in dam environments is diffi-cult, it＆#39;s very important to optimize the energy consumption of WSN nodes in order to extend the whole life-cycle of WSN. This paper describes energy consumption distribution and strategies to reduce the energy consumption of WSN nodes. In addition, the algebraic model of the node energy consumption has been set up based on semi-Mar-kov chain theory. In order to ensure the whole network to survive as long as possible, the node sleeping time should be prolonged by managing their energy consumption so that the energy consumption of the whole WSN can be decreased accordingly.