The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
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
Broadband Ultrasonic Location Systems for Improved Indoor Positioning
IEEE Transactions on Mobile Computing
StarDust: a flexible architecture for passive localization in wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
The Lighthouse Location System for Smart Dust
Proceedings of the 1st international conference on Mobile systems, applications and services
Thunder: towards practical, zero cost acoustic localization for outdoor wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
A practical evaluation of radio signal strength for ranging-based localization
ACM SIGMOBILE Mobile Computing and Communications Review
Organizing a global coordinate system from local information on an ad hoc sensor network
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
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A speck is intended to be a miniature (5X5X5mm) semiconductor device that combines sensing, processing, wireless communication and energy storage capabilities. A specknet is an ad-hoc wireless network of specks. The location of specks in the network is useful in processing information, for reasons ranging from routing data to giving the data sensed a spatial context. This paper presents an algorithm for discovering the location of specks and updating that information in the face of movement. The proposed algorithm exploits the location constraints implied by the sensed directions to a speck's one-hop neighbours in order to compute a likely location. Direction information may be gleaned in a robust manner through the use of free-space optical communications systems. The algorithm is fully distributed, requires no special infrastructural support, has modest requirements in terms of computation and communication and does not rely on range measurement or anchor nodes. The performance of the location discovery algorithm is evaluated in the SpeckSim simulator under a range of adverse conditions.