用于土壤湿度测量的传感器网络动态采样策略  

Dynamic sampling control policy for soil moisture measurements using wireless sensor networks

作　　者：李珂[1] 吴晓培[2] 吴跃[2] 贾惠波[1] 

机构地区：[1]清华大学精密测试技术与仪器国家重点实验室,北京100086 [2]电子科技大学计算机科学与工程学院,成都610054

出　　处：《电子测量与仪器学报》2011年第4期338-342,共5页Journal of Electronic Measurement and Instrumentation

摘　　要：土壤湿度是科研及生产生活等众多领域的测量要求。传感器连续采样方式能耗大、维护困难,不适用于无线传感器网络领域。本文提出一种适用于无线传感器网络土壤湿度测量的新型动态采样控制策略,将土壤湿度量化为马尔可夫过程,利用部分可观察马尔可夫决策问题,通过动态远程控制传感器节点的采样周期,以较少的采样点满足测量需求,达到节省能量的目标。实验结果表明,动态采样控制的采样时间及总体成本分别只有传统连续采样模式的13%和62%。本策略可以广泛应用于其他环境量测量领域,如气温,水质,环境湿度等量的测量。Soil moisture is a measurement requirement for many research and industrial fields.Continuously sampling is not suitable for wireless sensor networks because of its high energy consumption and maintenance costs.A novel dynamic sampling control policy is introduced for wireless sensor networks in soil moisture measurements field.Based on Markov process for soil moisture,a partially observable Markov decision problem（POMDP） is formulated to calculate the policy.In the policy,sampling periods of sensor nodes are dynamically controlled through remote commands and a sparser set of measurements are taken to meet the monitoring objectives in order to bring about energy savings.Test results show that the sampling time and total cost in dynamic sampling are 13% and 62% respectively of the ones in traditional continuously sampling method.The proposed policy can be po-tentially used in other measuring of the environment,such as temperature,water quality and ambient humility.

关 键 词：土壤湿度测量 动态采样控制 无线传感器网络 马尔可夫决策过程 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]