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Collaborative Localization in Participatory Sensing with Load Balancing
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China..
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Institutionen för informationsteknologi, Datorteknik.
Virginia Tech, Dept Comp Sci, Blacksburg, VA USA..
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China..
Vise andre og tillknytning
2015 (engelsk)Inngår i: 2015 IEEE 23Rd International Symposium On Quality Of Service (IWQOS), 2015, s. 61-62Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The increasingly popular smartphones enable participatory sensing systems to collect location-based sensing data for different tasks. However, GPS positioning is very energy consuming, which could drain a mobile device's battery quickly. High energy consumption may threaten the participants and reduce the sustainability of the participatory sensing systems. In this paper, we propose a collaborative localization strategy with load balancing. Simulations with real traces showed that our proposed solution can save more than 80% of the energy consumption for localization in the entire network with load balancing.

sted, utgiver, år, opplag, sider
2015. s. 61-62
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-307060ISI: 000381505400011ISBN: 9781467371131 (tryckt)OAI: oai:DiVA.org:uu-307060DiVA, id: diva2:1045252
Konferanse
23rd IEEE/ACM International Symposium on Quality of Service (IWQoS), JUN 13-20, 2015, Portland, OR
Tilgjengelig fra: 2016-11-08 Laget: 2016-11-08 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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