Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
The n-hop multilateration primitive for node localization problems
Mobile Networks and Applications
Semidefinite programming for ad hoc wireless sensor network localization
Proceedings of the 3rd international symposium on Information processing in sensor networks
Localization from Connectivity in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Node Localization Using Mobile Robots in Delay-Tolerant Sensor Networks
IEEE Transactions on Mobile Computing
Simultaneous localization, calibration, and tracking in an ad hoc sensor network
Proceedings of the 5th international conference on Information processing in sensor networks
Robust distributed node localization with error management
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Distributed weighted-multidimensional scaling for node localization in sensor networks
ACM Transactions on Sensor Networks (TOSN)
LOCALE: Collaborative Localization Estimation for Sparse Mobile Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Large-scale localization from wireless signal strength
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Localizing tags using mobile infrastructure
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
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Iterative localization is one of the common schemes for obtaining locations of unknown sensor nodes when anchor nodes are relatively sparse in the network. The key idea is for a node to localize itself using its anchor neighbors, and then become an anchor for other unknown neighbors. The process continues until all nodes are localized or no nodes left can be localized. The major problem of the iterative localization scheme is that it suffers from the negative effect of error propagation, where sensor noise results in estimation errors which then get accumulated and amplified over localization iterations. This paper proposes a computationally efficient error control mechanism to mitigate the error propagation effect for mobile-infrastructure based localization. In particular, we show how the error can be characterized and controlled in a mobile-assistant localization framework with angle-of-arrival type of sensing modality. Both simulation on a large scale and real experiments on a small scale have been conducted. Results have shown that our error control mechanism achieves comparable location accuracy as global optimization-based localization methods and has the advantage of being much more computationally efficient.