Robust range-free localization in wireless sensor networks

Kui Wu; Chong Liu; Jianping Pan; Dandan Huang

doi:10.1007/s11036-008-0041-9

Robust range-free localization in wireless sensor networks

Kui Wu, Chong Liu, Jianping Pan, Dandan Huang

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

12 Citations (Scopus)

Abstract

In wireless sensor networks, sensors should have some mechanisms to learn their locations since sensed data without associated location information may be meaningless. While many sensor localization algorithms have been proposed, security issues in sensor localization are usually not addressed in their original design. Secure sensor localization is very challenging due to limited computation and energy resources in sensors. It is highly desirable that a localization scheme is robust and is able to detect malicious attacks without using complex cryptographic operations. In this paper, we present and analyze detection methods purely based on geometric constraints in sensor networks. Our detection methods can protect the localization algorithm from malicious attacks by detecting and eliminating the negative impact of fake information. © 2008 Springer Science+Business Media, LLC.

Original language	English
Pages (from-to)	392-405
Journal	Mobile Networks and Applications
Volume	12
Issue number	5-6
DOIs	https://doi.org/10.1007/s11036-008-0041-9
Publication status	Published - Dec 2007
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected]</a

Research Keywords

Range-free localization
Reliability
Wireless sensor networks

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10.1007/s11036-008-0041-9

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AU - Wu, Kui

AU - Liu, Chong

AU - Pan, Jianping

AU - Huang, Dandan

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N2 - In wireless sensor networks, sensors should have some mechanisms to learn their locations since sensed data without associated location information may be meaningless. While many sensor localization algorithms have been proposed, security issues in sensor localization are usually not addressed in their original design. Secure sensor localization is very challenging due to limited computation and energy resources in sensors. It is highly desirable that a localization scheme is robust and is able to detect malicious attacks without using complex cryptographic operations. In this paper, we present and analyze detection methods purely based on geometric constraints in sensor networks. Our detection methods can protect the localization algorithm from malicious attacks by detecting and eliminating the negative impact of fake information. © 2008 Springer Science+Business Media, LLC.

AB - In wireless sensor networks, sensors should have some mechanisms to learn their locations since sensed data without associated location information may be meaningless. While many sensor localization algorithms have been proposed, security issues in sensor localization are usually not addressed in their original design. Secure sensor localization is very challenging due to limited computation and energy resources in sensors. It is highly desirable that a localization scheme is robust and is able to detect malicious attacks without using complex cryptographic operations. In this paper, we present and analyze detection methods purely based on geometric constraints in sensor networks. Our detection methods can protect the localization algorithm from malicious attacks by detecting and eliminating the negative impact of fake information. © 2008 Springer Science+Business Media, LLC.

KW - Range-free localization

KW - Reliability

KW - Wireless sensor networks

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DO - 10.1007/s11036-008-0041-9

M3 - RGC 21 - Publication in refereed journal

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EP - 405

JO - Mobile Networks and Applications

JF - Mobile Networks and Applications

IS - 5-6

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Robust range-free localization in wireless sensor networks

Abstract

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Research Keywords

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