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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...

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Detalles Bibliográficos
Autores principales: Liu, Jieyan, Bic, Lubomir, Gong, Haigang, Zhan, Siyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
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.
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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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