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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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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. |
format | Online Article Text |
id | pubmed-4934188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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