Attack-resistant location estimation in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Reducing the Calibration Effort for Probabilistic Indoor Location Estimation
IEEE Transactions on Mobile Computing
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
Empirical-based analysis of a cooperative location-sensing system
Proceedings of the 1st international conference on Autonomic computing and communication systems
Location-based media sharing in a MP2P network
ACM SIGMOBILE Mobile Computing and Communications Review
Attack-Resistant Location Estimation in Wireless Sensor Networks
ACM Transactions on Information and System Security (TISSEC)
C-NGINE: A Contextual Navigation Guide for Indoor Environments
AmI '08 Proceedings of the European Conference on Ambient Intelligence
FleXConf: A Flexible Conference Assistant Using Context-Aware Notification Services
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
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Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
Design and implementation of a semantics-based Contextual Navigation Guide for Indoor Environments
Journal of Ambient Intelligence and Smart Environments
Empirical evaluation of signal-strength fingerprint positioning in wireless LANs
Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
Design and implementation of a semantics-based Contextual Navigation Guide for Indoor Environments
Journal of Ambient Intelligence and Smart Environments
A semantics-based framework for context-aware services: lessons learned and challenges
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
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We present the Cooperative Location-sensing system(CLS), an adaptive location-sensing system that enables devicesto estimate their position in a self-organizing mannerwithout the need for an extensive infrastructure or training.Hosts cooperate and share positioning information.CLS uses a grid representation that allows an easy incorporationof external information to improve the accuracy ofthe position estimation. We evaluated the performance ofCLS via simulation and investigated the impact of the densityof landmarks, degree of connectivity, range error, andgrid resolution on the accuracy. We found that the averageerror is less than 2% of the transmission range,when used in a terrain with 20% of the hosts to be landmarks,average network connectivity above 7, and distanceestimation error equal to 5% of the transmissionrange.