A low-complexity cooperative algorithm for robust localization in wireless sensor networks

Dexin Wang, Liuqing Yang, Xiang Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Location awareness for wireless sensor networks has attracted significant research interests in recent years. In hostile environments, there may be malicious attacks to mislead the location estimation of target nodes. In this paper, we discuss the benefit brought by cooperation in the context of robust localization against malicious anchors. Cooperation provides improved detection about the existence of malicious anchors, as well as the ability to estimate their true locations. We also investigate various loss functions and propose an accelerated cooperative robust localization algorithm based on Huber loss function. The proposed algorithm offers accuracy comparable to existing cooperative robust localization methods but at significantly reduced computational complexity.

Original languageEnglish (US)
Title of host publication2016 International Conference on Computing, Networking and Communications, ICNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385794
DOIs
StatePublished - Mar 23 2016
Externally publishedYes
EventInternational Conference on Computing, Networking and Communications, ICNC 2016 - Kauai, United States
Duration: Feb 15 2016Feb 18 2016

Publication series

Name2016 International Conference on Computing, Networking and Communications, ICNC 2016

Conference

ConferenceInternational Conference on Computing, Networking and Communications, ICNC 2016
Country/TerritoryUnited States
CityKauai
Period2/15/162/18/16

Bibliographical note

Funding Information:
This work is in part supported by the National Science Foundation under grant No. CNS-1343189.

Publisher Copyright:
© 2016 IEEE.

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