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Data collection for mobile crowdsensing in the presence of selfishness
Mobile crowdsensing is an emerging approach to data collection by exploiting the sensing abilities offered by smart phones and users’ mobility. Data collection can be implemented by exploiting the forwarding opportunities given by the contacts between nodes. However, as cell phones are still resourc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791484/ https://www.ncbi.nlm.nih.gov/pubmed/27064536 http://dx.doi.org/10.1186/s13638-016-0580-x |
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author | Liu, Jieyan Bic, Lubomir Gong, Haigang Zhan, Siyu |
author_facet | Liu, Jieyan Bic, Lubomir Gong, Haigang Zhan, Siyu |
author_sort | Liu, Jieyan |
collection | PubMed |
description | Mobile crowdsensing is an emerging approach to data collection by exploiting the sensing abilities offered by smart phones and users’ mobility. Data collection can be implemented by exploiting the forwarding opportunities given by the contacts between nodes. However, as cell phones are still resource constrained, most people are socially selfish so that they may not always cooperate with each other in data collection. In this paper, we propose a routing protocol, called Accept aNd Tolerate (ANT), which is tailored for data collection in a social environment with selfish individuals. ANT works by accepting and tolerating social selfishness as an unavoidable human characteristic. It makes relay selection based on nodes’ contacts and their willingness to cooperate. The cooperative willingness of selfish nodes is measured rationally according to the reciprocity relationship between nodes and their resource constraints. Through assessing the worthiness of carrying and forwarding a packet, ANT proposes a buffer management scheme and makes forwarding decisions. Simulations based on real traces show that ANT achieves better performance under resource-constrained circumstances than other comparable approaches. |
format | Online Article Text |
id | pubmed-4791484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-47914842016-04-06 Data collection for mobile crowdsensing in the presence of selfishness Liu, Jieyan Bic, Lubomir Gong, Haigang Zhan, Siyu EURASIP J Wirel Commun Netw Research Mobile crowdsensing is an emerging approach to data collection by exploiting the sensing abilities offered by smart phones and users’ mobility. Data collection can be implemented by exploiting the forwarding opportunities given by the contacts between nodes. However, as cell phones are still resource constrained, most people are socially selfish so that they may not always cooperate with each other in data collection. In this paper, we propose a routing protocol, called Accept aNd Tolerate (ANT), which is tailored for data collection in a social environment with selfish individuals. ANT works by accepting and tolerating social selfishness as an unavoidable human characteristic. It makes relay selection based on nodes’ contacts and their willingness to cooperate. The cooperative willingness of selfish nodes is measured rationally according to the reciprocity relationship between nodes and their resource constraints. Through assessing the worthiness of carrying and forwarding a packet, ANT proposes a buffer management scheme and makes forwarding decisions. Simulations based on real traces show that ANT achieves better performance under resource-constrained circumstances than other comparable approaches. Springer International Publishing 2016-03-15 2016 /pmc/articles/PMC4791484/ /pubmed/27064536 http://dx.doi.org/10.1186/s13638-016-0580-x Text en © Liu et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Liu, Jieyan Bic, Lubomir Gong, Haigang Zhan, Siyu Data collection for mobile crowdsensing in the presence of selfishness |
title | Data collection for mobile crowdsensing in the presence of selfishness |
title_full | Data collection for mobile crowdsensing in the presence of selfishness |
title_fullStr | Data collection for mobile crowdsensing in the presence of selfishness |
title_full_unstemmed | Data collection for mobile crowdsensing in the presence of selfishness |
title_short | Data collection for mobile crowdsensing in the presence of selfishness |
title_sort | data collection for mobile crowdsensing in the presence of selfishness |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791484/ https://www.ncbi.nlm.nih.gov/pubmed/27064536 http://dx.doi.org/10.1186/s13638-016-0580-x |
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