Cooperative RSS-Based Localization in Wireless Sensor Networks Using Relative Error Estimation and Semidefinite Programming

A new cooperative received signal strength-based localization algorithm is proposed which employs relative error estimation and semidefinite programming (SDP). First, the log-normal shadowing RSS measurement model is transformed into an equivalent multiplicative model. Then, a relative error estimat...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 68; H. 1; S. 483 - 497
Hauptverfasser:	Wang, Zengfeng, Zhang, Hao, Lu, Tingting, Gulliver, T. Aaron
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Convex functions Cooperative localization Error analysis Error detection Localization Lower bounds maximum likelihood (ML) estimator Maximum likelihood estimation Maximum likelihood estimators Measurement uncertainty Random variables received signal strength (RSS) relative error estimation Remote sensors Semidefinite programming semidefinite programming (SDP) Shadow mapping Signal strength Wireless sensor networks
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
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