Secure verification of location claims
WiSe '03 Proceedings of the 2nd ACM workshop on Wireless security
Precise Distributed Localization Algorithms for Wireless Networks
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
Benchmarking Wireless LAN Location Systems Wireless LAN Location Systems
WMCS '05 Proceedings of the Second IEEE International Workshop on Mobile Commerce and Services
ARIADNE: a dynamic indoor signal map construction and localization system
Proceedings of the 4th international conference on Mobile systems, applications and services
Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Robust statistical methods for securing wireless localization in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A security and robustness performance analysis of localization algorithms to signal strength attacks
ACM Transactions on Sensor Networks (TOSN)
Location Determination within Wireless Networks: Dynamic indoor/outdoor Localization Systems Algorithm Design, Performance Analysis and Comparison Study
Secure verification of location claims with simultaneous distance modification
ASIAN'07 Proceedings of the 12th Asian computing science conference on Advances in computer science: computer and network security
Location sensing and privacy in a context-aware computing environment
IEEE Wireless Communications
IEEE Transactions on Wireless Communications
Estimating signal strengths in the design of an indoor wireless network
IEEE Transactions on Wireless Communications
Secure positioning in wireless networks
IEEE Journal on Selected Areas in Communications
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This paper studies performance robustness of dynamic indoor localisation systems that use only received signal strength (RSS). We introduce a simple radio distortion method to capture signal perturbations under uncontrolled environments where signal values could be changed dynamically. With the method, we examine several location searching algorithms, including 'lateration' and 'multidimensional scaling (MDS)' for distance-based systems, as well as 'clustering', 'least mean square errors', 'closeness elimination' and 'second lowest mean square errors' for the database-based system using two different environments including one regular office building and one underground floor-plan, we observed that 'MDS' and 'clustering' presented stable and smaller localisation errors under most experimental settings. Of systems studied in this paper, strong experimental evidence also indicated that the signal-location map method, a database-based system, outperforms all distance-based systems in this paper, especially when environment is dynamic or when radio signal values are distorted intentionally.