Detection Capabilities of Randomly-Deployed Sensor Fields

作     者：Nelson, Jill K. Rowe, Errol G. Carter, G. Clifford 

作者机构：George Mason Univ Dept Elect & Comp Engn Fairfax VA 22030 USA USN Undersea Warfare Ctr Newport RI USA 

出 版 物：《INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS》 (分布式传感网络国际杂志)

年 卷 期：2009年第5卷第6期

页      面：708-728页

核心收录：

学科分类：0810[工学-信息与通信工程] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Office of Naval Research (ONR) Naval Undersea Warfare Center, Newport, RI 

主　　题：Distributed Sensor Networks Heterogeneous Sensor Field Spatial Poisson Process Detection Versus Coverage 

摘      要：Distributed sensor fields have recently gained popularity as a means for detecting intruders moving through a protected area of the ocean. We characterize the detection capabilities of a network of randomly-deployed sensors with varying sensing capabilities. We develop a framework for analytically approximating the probability that such a sensor field detects a constant course target moving through the region as a function of the number of sensors deployed and the statistical properties that govern the sensing range. Analytical and empirical results indicate that, when the total sensing area is fixed, a set of smaller distributed sensors can achieve significantly improved detection performance relative to a single large sensor. We also study the relationship between coverage of a region of interest and likelihood of detecting a constant course intruder moving through that region. We derive expressions for the average number of sensors required to achieve a prescribed likelihood of detection and level of coverage and conclude that detection and coverage are fundamentally different characterizations of the capabilities of a sensor field. In fact, the number of sensors required to achieve a particular detection level may be several orders of magnitude smaller than that required to achieve the same level of coverage.