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 language | English (US) |
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Title of host publication | 2016 International Conference on Computing, Networking and Communications, ICNC 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781467385794 |
DOIs | |
State | Published - Mar 23 2016 |
Externally published | Yes |
Event | International Conference on Computing, Networking and Communications, ICNC 2016 - Kauai, United States Duration: Feb 15 2016 → Feb 18 2016 |
Publication series
Name | 2016 International Conference on Computing, Networking and Communications, ICNC 2016 |
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Conference
Conference | International Conference on Computing, Networking and Communications, ICNC 2016 |
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Country/Territory | United States |
City | Kauai |
Period | 2/15/16 → 2/18/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.