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A Matching Game-Based Data Collection Algorithm with Mobile Collectors

Data collection is one of the key technologies in wireless sensor networks. Due to the limited battery resources of sensors, mobile collectors are introduced to collect data instead of multi-hop data relay. However, how to decrease the data delay based on the cooperation of mobile collectors is a ma...

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Detalles Bibliográficos
Autores principales: Zhang, Chun, Fei, Shumin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085534/
https://www.ncbi.nlm.nih.gov/pubmed/32143360
http://dx.doi.org/10.3390/s20051398
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author Zhang, Chun
Fei, Shumin
author_facet Zhang, Chun
Fei, Shumin
author_sort Zhang, Chun
collection PubMed
description Data collection is one of the key technologies in wireless sensor networks. Due to the limited battery resources of sensors, mobile collectors are introduced to collect data instead of multi-hop data relay. However, how to decrease the data delay based on the cooperation of mobile collectors is a main problem. To solve this problem, a matching game-based data collection algorithm is proposed. First, some high-level cluster heads are elected. Second, by introducing a matching game model, the data collection problem is modeled as a one to one matching problem. Then, according to the preferences of mobile collectors and cluster heads, the benefit matrices are established. Based on the proposed matching algorithm, each mobile collector selects a cluster head to collect the data packets. Performance analysis proves that the matching result is stable, optimal, and unique. Simulation results show that the proposed algorithm is superior to other existing approach in terms of the reduction in data delay.
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spelling pubmed-70855342020-03-23 A Matching Game-Based Data Collection Algorithm with Mobile Collectors Zhang, Chun Fei, Shumin Sensors (Basel) Article Data collection is one of the key technologies in wireless sensor networks. Due to the limited battery resources of sensors, mobile collectors are introduced to collect data instead of multi-hop data relay. However, how to decrease the data delay based on the cooperation of mobile collectors is a main problem. To solve this problem, a matching game-based data collection algorithm is proposed. First, some high-level cluster heads are elected. Second, by introducing a matching game model, the data collection problem is modeled as a one to one matching problem. Then, according to the preferences of mobile collectors and cluster heads, the benefit matrices are established. Based on the proposed matching algorithm, each mobile collector selects a cluster head to collect the data packets. Performance analysis proves that the matching result is stable, optimal, and unique. Simulation results show that the proposed algorithm is superior to other existing approach in terms of the reduction in data delay. MDPI 2020-03-04 /pmc/articles/PMC7085534/ /pubmed/32143360 http://dx.doi.org/10.3390/s20051398 Text en © 2020 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
Zhang, Chun
Fei, Shumin
A Matching Game-Based Data Collection Algorithm with Mobile Collectors
title A Matching Game-Based Data Collection Algorithm with Mobile Collectors
title_full A Matching Game-Based Data Collection Algorithm with Mobile Collectors
title_fullStr A Matching Game-Based Data Collection Algorithm with Mobile Collectors
title_full_unstemmed A Matching Game-Based Data Collection Algorithm with Mobile Collectors
title_short A Matching Game-Based Data Collection Algorithm with Mobile Collectors
title_sort matching game-based data collection algorithm with mobile collectors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085534/
https://www.ncbi.nlm.nih.gov/pubmed/32143360
http://dx.doi.org/10.3390/s20051398
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