4th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

Research Article

On the Robustness of Range-Free Localization in Wireless Sensor Networks

  • @INPROCEEDINGS{10.1145/1577222.1577241,
        author={Kui Wu and Dandan Huang and Jianping Pan and Chong Liu},
        title={On the Robustness of Range-Free Localization in Wireless Sensor Networks},
        proceedings={4th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and  Robustness},
        publisher={ACM},
        proceedings_a={QSHINE},
        year={2007},
        month={8},
        keywords={Reliability Range-Free Localization Wireless Sensor Networks Security},
        doi={10.1145/1577222.1577241}
    }
    
  • Kui Wu
    Dandan Huang
    Jianping Pan
    Chong Liu
    Year: 2007
    On the Robustness of Range-Free Localization in Wireless Sensor Networks
    QSHINE
    ACM
    DOI: 10.1145/1577222.1577241
Kui Wu1,*, Dandan Huang1,*, Jianping Pan1,*, Chong Liu2,*
  • 1: Computer Science Department University of Victoria BC ,Canada V8W 3P6
  • 2: Research In Motion Waterloo ON , Canada N2L 3W8
*Contact email: wkui@uvic.ca, dandan@uvic.ca, pan@uvic.ca, cliu@rim.com

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 adressed 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 in robust and is able to detect malicious attacks without using complex cryptographic operations. In this paper , we present and analyze detection methods purley based on geometric constraints in sensor networks. Our detection methods can strengthen the localization algorithm to be resilient to malicious attacks by detecting and eliminating the negative impact of fake information.