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Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing

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 device...

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Detalles Bibliográficos
Autores principales: Wang, Wendong, Xi, Teng, Ngai, Edith C.-H., Song, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934188/
https://www.ncbi.nlm.nih.gov/pubmed/27231916
http://dx.doi.org/10.3390/s16060762
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author Wang, Wendong
Xi, Teng
Ngai, Edith C.-H.
Song, Zheng
author_facet Wang, Wendong
Xi, Teng
Ngai, Edith C.-H.
Song, Zheng
author_sort Wang, Wendong
collection PubMed
description 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.
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spelling pubmed-49341882016-07-06 Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing Wang, Wendong Xi, Teng Ngai, Edith C.-H. Song, Zheng Sensors (Basel) Article 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. MDPI 2016-05-25 /pmc/articles/PMC4934188/ /pubmed/27231916 http://dx.doi.org/10.3390/s16060762 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Wendong
Xi, Teng
Ngai, Edith C.-H.
Song, Zheng
Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing
title Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing
title_full Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing
title_fullStr Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing
title_full_unstemmed Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing
title_short Energy-Efficient Collaborative Outdoor Localization for Participatory Sensing
title_sort energy-efficient collaborative outdoor localization for participatory sensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934188/
https://www.ncbi.nlm.nih.gov/pubmed/27231916
http://dx.doi.org/10.3390/s16060762
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