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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 University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
Virginia Tech, Dept Comp Sci, Blacksburg, VA USA..
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China..
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2015 (English)In: 2015 IEEE 23Rd International Symposium On Quality Of Service (IWQOS), 2015, 61-62 p.Conference paper (Refereed)
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.

Place, publisher, year, edition, pages
2015. 61-62 p.
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:uu:diva-307060ISI: 000381505400011ISBN: 9781467371131OAI: oai:DiVA.org:uu-307060DiVA: diva2:1045252
Conference
23rd IEEE/ACM International Symposium on Quality of Service (IWQoS), JUN 13-20, 2015, Portland, OR
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2016-11-08Bibliographically approved

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