Second Order Cone Programming for Sensor Network Localization with Anchor Position Uncertainty

Node localization is a difficult task in sensor networks in which the ranging measurements are subject to errors and anchor positions are subject to uncertainty. In this paper, the robust localization problem is formulated using the maximum likelihood criterion under an unbounded uncertainty model f...

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Bibliographic Details
Published in:	IEEE transactions on wireless communications Vol. 13; no. 2; pp. 749 - 763
Main Authors:	Naddafzadeh-Shirazi, Ghasem, Shenouda, Michael Botros, Lampe, Lutz
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.02.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accuracy Algorithms Anchors Applied sciences Complexity Complexity theory Detection, estimation, filtering, equalization, prediction Distance measurement distributed localization Exact sciences and technology Information, signal and communications theory Localization Mathematical models Networks Optimization Position (location) Programming robust optimization Robustness second order cone programming (SOCP) Services and terminals of telecommunications Signal and communications theory Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Uncertainty wireless sensor networks Second order Range finding wireless sensor networks Wireless telecommunication robust optimization Iterative method Computational complexity Implementation Optimization Remote sensing Relaxation Accuracy Infinite medium Simulation Wireless network second order cone programming (SOCP) Convexity Maximum likelihood Localization Sensor array EM algorithm distributed localization Signal detection
ISSN:	1536-1276, 1558-2248
Online Access:	Get full text
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