Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Algorithms and Theory of Computation Handbook
Algorithms and Theory of Computation Handbook
Wireless Sensor Networks: An Information Processing Approach
Wireless Sensor Networks: An Information Processing Approach
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A kernel-based learning approach to ad hoc sensor network localization
ACM Transactions on Sensor Networks (TOSN)
Simultaneous localization, calibration, and tracking in an ad hoc sensor network
Proceedings of the 5th international conference on Information processing in sensor networks
Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Approaches to Multisensor Data Fusion in Target Tracking: A Survey
IEEE Transactions on Knowledge and Data Engineering
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This paper develops innovative algorithms to track multiple mobile subjects in a wireless ad hoc network. First, we enhance an existing Multidimensional Scaling (MDS) based localisation algorithm with beacon selection in the absolute mapping process. Second, a Dynamic Multidimensional Scaling (DMDS) algorithm is developed based on that enhanced localisation algorithm. Third, a sensor fusion approach is proposed to integrate the estimates from dead reckoning and the DMDS algorithm. Finally, to further improve the sensor fusion results, we use adaptive fusion weights between the dead reckoning estimates and the DMDS estimates. Simulation results are provided to validate the proposed algorithms.