Abstract | ||
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Location based services are getting increasingly popular in participatory sensing systems. They make use of location information on the mobile devices to support applications that improve personal health, object search, and entertainment. However, GPS positioning consumes a lot of energy, which can drain a mobile device's battery. Although WiFi localization and cell tower localization have been suggested as alternatives, they have lower localization accuracy and limited coverage. In this paper, we suggest a novel solution for multiple mobile devices to perform collaborative localization to reduce energy consumption and provide accurate localization. We divide the mobile devices into two groups, the aggregator group and the collector group. The aggregator group turns on their GPS periodically, while the collector group uses the locations of the aggregators to estimate their own locations. We formulate the aggregator set selection problem and propose two novel algorithms to minimize the energy consumption in collaborative localization. Simulations with real traces showed that our proposed solution can save up to 88% of the energy of the entire network. |
Year | DOI | Venue |
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2015 | 10.1109/GLOCOM.2015.7416983 | 2015 IEEE Global Communications Conference (GLOBECOM) |
Keywords | Field | DocType |
energy-efficient collaborative localization,sensing system,location based services,GPS positioning,mobile device battery,WiFi localization,mobile devices,aggregator,energy consumption | Mobile computing,Mobile search,News aggregator,Computer science,Mobile station,Location-based service,Real-time computing,Participatory sensing,Energy consumption,Mobile telephony | Conference |
ISSN | Citations | PageRank |
2334-0983 | 2 | 0.37 |
References | Authors | |
8 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Teng Xi | 1 | 5 | 2.46 |
Wendong Wang | 2 | 821 | 72.69 |
Edith Cheuk-Han Ngai | 3 | 823 | 54.90 |
Zheng Song | 4 | 125 | 8.68 |
Ye Tian | 5 | 24 | 7.64 |
Xiangyang Gong | 6 | 161 | 23.01 |