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Energy-efficient collaborative outdoor localization for participatory sensing
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, XiTuCheng Rd 10, Beijing 100876, Peoples R China.
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, XiTuCheng Rd 10, Beijing 100876, Peoples R China.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datorteknik.
Virginia Tech, Dept Comp Sci, Blacksburg, VA 24060 USA.
2016 (engelsk)Inngår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 16, nr 6, artikkel-id 762Artikkel i tidsskrift (Fagfellevurdert) Published
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Abstract [en]

Location information is a key element of participatory sensing. Many mobile and sensing applications require location information to provide better recommendations, object search and trip planning. However, continuous GPS positioning consumes much energy, which may drain the battery of mobile devices quickly. Although WiFi and cell tower positioning are alternatives, they provide lower accuracy compared to GPS. This paper solves the above problem by proposing a novel localization scheme through the collaboration of multiple mobile devices to reduce energy consumption and provide accurate positioning. Under our scheme, the mobile devices are divided into three groups, namely the broadcaster group, the location information receiver group and the normal participant group. Only the broadcaster group and the normal participant group use their GPS. The location information receiver group, on the other hand, makes use of the locations broadcast by the broadcaster group to estimate their locations. We formulate the broadcaster set selection problem and propose two novel algorithms to minimize the energy consumption in collaborative localization. Simulations with real traces show that our proposed solution can save up to 68% of the energy of all of the participants and provide more accurate locations than WiFi and cellular network positioning.

sted, utgiver, år, opplag, sider
2016. Vol. 16, nr 6, artikkel-id 762
Emneord [en]
participatory sensing; collaborative localization; device to device localization; energy efficiency
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URN: urn:nbn:se:uu:diva-299916DOI: 10.3390/s16060762ISI: 000378756500010OAI: oai:DiVA.org:uu-299916DiVA, id: diva2:950347
Forskningsfinansiär
VINNOVA, 2015-00347Tilgjengelig fra: 2016-05-25 Laget: 2016-07-29 Sist oppdatert: 2018-01-10bibliografisk kontrollert

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