Mathematical evaluation of environmental monitoring estimation error through energy-efficient wireless sensor networks
Mathematical evaluation of environmental monitoring estimation error through energy-efficient wireless sensor networks
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DOI：
10.1109/tmc.2007.1041
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发表时间：
2007-07-01
影响因子：
7.9
通讯作者：
Verdone, Roberto
中科院分区：
文献类型：
--
作者：
Dardari, Davide;Conti, Andrea;Verdone, Roberto
本文研究了基于能量约束的自组织无线传感器网络在二维场景(如大范围大气压力)上的标量场估计问题。传感器设备(表示为节点)是随机分布的；它们使用集群网络将样本传输给监控器。本文提供了一个数学框架来分析无线传感器网络通信协议和信号处理设计的相互依赖的方面。讨论了信道建模和连通性问题、多路访问控制和路由，以及分布式数字信号处理(DDSP)技术的作用。通过一种基于信号重采样的分布式压缩技术，研究了节点执行DDSP的可能性。通过一种新的数学方法比较了完全由监督者执行处理的情况下DDSP对网络能量效率的影响。讨论了能量守恒(即网络寿命)和估计误差之间的权衡，并提出了设计准则。通过与仿真结果的比较，验证了模型的有效性。作为示例结果，对于不同的系统参数和标量场特性，所需的节点密度被发现是估计质量和网络寿命之间的折衷。结果表明，DDSP技术和MAC协议的选择对无线传感器网络的性能都有一定的影响。
In this paper, the estimation of a scalar field over a bidimensional scenario (e.g., the atmospheric pressure in a wide area) through a self-organizing wireless sensor network (WSN) with energy constraints is investigated. The sensor devices (denoted as nodes) are randomly distributed; they transmit samples to a supervisor by using a clustered network. This paper provides a mathematical framework to analyze the interdependent aspects of WSN communication protocol and signal processing design. Channel modelling and connectivity issues, multiple access control and routing, and the role of distributed digital signal processing (DDSP) techniques are accounted for. The possibility that nodes perform DDSP is studied through a distributed compression technique based on signal resampling. The DDSP impact on network energy efficiency is compared through a novel mathematical approach to the case where the processing is performed entirely by the supervisor. The trade-off between energy conservation (i.e., network lifetime) and estimation error is discussed and a design criterion is proposed as well. Comparison to simulation outcomes validates the model. As an example result, the required node density is found as a trade-off between estimation quality and network lifetime for different system parameters and scalar field characteristics. It is shown that both the DDSP technique and the MAC protocol choice have a relevant impact on the performance of a WSN.