Distributed sensor network localization using SOCP relaxation

The goal of the sensor network localization problem is to determine positions of all sensor nodes in a network given certain pairwise noisy distance measurements and some anchor node positions. This paper describes a distributed localization algorithm based on second-order cone programming relaxatio...

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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 7; no. 12; pp. 4886 - 4895
Main Authors:	Srirangarajan, S., Tewfik, A., Zhi-Quan Luo
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.12.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Anchors Applied sciences Computational modeling Computerized monitoring Convergence of numerical methods convex optimization Detection, estimation, filtering, equalization, prediction Distance measurement Distributed algorithms Estimates Estimation error Exact sciences and technology General equipment and techniques Global Positioning System Information, signal and communications theory Instruments, apparatus, components and techniques common to several branches of physics and astronomy Intelligent sensors Localization Network topology Networks Numerical simulation Organization and planning of networks (techniques and equipments) Physics Position (location) positioning relaxation methods Robustness second-order cone programming Sensors Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing Signal and communications theory Signal, noise Studies synchronous and asynchronous algorithms Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Wireless communication Performance evaluation Second order Parameter estimation Error estimation Network architecture Convex programming Topological structure Relaxation Accuracy positioning Position sensor Relaxation method Robustness Localization Distributed algorithms relaxation methods Signal detection second-order cone programming Estimation error Distributed system Simulation synchronous and asynchronous algorithms Distributed algorithm Position measurement convex optimization Distance measurement Miniaturization Sensor array
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
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