The Horus location determination system
Wireless Networks
Blue-Fi: enhancing Wi-Fi performance using bluetooth signals
Proceedings of the 7th international conference on Mobile systems, applications, and services
Energy-accuracy trade-off for continuous mobile device location
Proceedings of the 8th international conference on Mobile systems, applications, and services
Towards mobile phone localization without war-driving
INFOCOM'10 Proceedings of the 29th conference on Information communications
Indoor localization without the pain
Proceedings of the sixteenth annual international conference on Mobile computing and networking
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Demo: unsupervised indoor localization
Proceedings of the 10th international conference on Mobile systems, applications, and services
Clearing a crowd: context-supported neighbor positioning for people-centric navigation
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
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Despite extensive research on WiFi indoor localization, very few solutions are widely deployed, largely due to their high energy consumption. In this paper, we propose several energy saving strategies with varying localization accuracy and energy consumption tradeoffs in WiFi indoor localization. Instead of localizing every single device, these strategies exploit short range low-power communication technologies, to localize clusters of mobile devices, via a representative cluster head. We propose various cluster head selection algorithms that offer different trade offs between localization accuracy and power consumption. The outcome of this work provides insights into the effectiveness and cost of a particular strategy depending on the needs of the application requiring varying localization service levels.