Optimal Threshold for Locating Targets Within a Surveillance Region Using a Binary Sensor Network

Luo, Zhenxing; Jannett, T.C.

doi:10.1007/978-90-481-9151-2_67

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2012

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Cited by 2 publications

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“…Wireless sensor networks (WSNs) have been successfully applied to solve many problems, such as, environmental monitoring, medical asset tracking, and fire rescue [1][2][3][4][5][6][7]. Typically, a WSN is comprised of a large number of widely distributed sensors, which are of low-cost and are resource-constrained [8].…”

Section: Introductionmentioning

confidence: 99%

A Censoring and Quantization Scheme for Energy-Based Target Localization in Wireless Sensor Networks

Luo¹

2012

J Eng Technol

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1.This article presents a censoring and quantization scheme for energy-based target localization in wireless sensor networks (WSNs). This scheme can save energy and communication bandwidth. Moreover, a multi-objective optimization method is used to balance the energy consumption and target localization performance of the energy-based target localization method using this scheme. Results show that the root square mean (RMS) errors provided by the energy-based target localization method using this scheme were close to the Cramer-Rao lower bound (CRLB). Moreover, the Pareto-fronts provided by the multiobjective optimization method can guide practical applications. Figure 1: Sensor fieldfor the energy-based target localization method, which used the quantization and censoring schemes.

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