Algorithmic approach for clandestine localisation and tracking in short-range environments

Authors:
Saif Al-Kuwari;Stephen D. Wolthusen
Affiliations:
Information Security Group, Department of Mathematics, Royal Holloway, University of London, Egham TW20 0EX, UK/ Department of Information and Research, Ministry of Foreign Affairs, P.O. Box 22711 ...;Information Security Group, Department of Mathematics, Royal Holloway, University of London, Egham TW20 0EX, UK/ Norwegian Information Security Laboratory, Gjø/vik University College, P.O. Box ...
Venue:
International Journal of Communication Networks and Distributed Systems
Year:
2012

Citing 5
Cited 0

Leader election algorithms for mobile ad hoc networks

DIALM '00 Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications
On Localized Prediction for Power Efficient Object Tracking in Sensor Networks

ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
A Distributed Location Estimating Algorithm for Wireless Sensor Networks

SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01
Wireless sensor network localization techniques

Computer Networks: The International Journal of Computer and Telecommunications Networking
Bayesian Filtering for Location Estimation

IEEE Pervasive Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Target tracking applications have recently evolved becoming essential intelligence and law enforcement tools. Traditionally, long-range communications, such as cellular networks, have been used for this purpose. Such conventional tracking approach, however, usually suffers from several accuracy implications due to location measurement errors. This is exemplified in densely cluttered and indoor environments where measurements are severely affected by excessive environmental and physical noise. Additionally, most localisation and tracking mechanisms today are based on active approach where targets actively cooperate in the tracking process, or at least are aware of it. Clearly, such approach is not suitable for law enforcement applications where targets are suspects or criminals. In this paper, we adopt an algorithmic approach to build an agent-based passive tracking system. We develop a number of algorithms to initiate and maintain this tracking system while consistently preserving passivity.