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An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks

Collaborative strategies for mobile sensor nodes ensure the efficiency and the robustness of data processing, while limiting the required communication bandwidth. In order to solve the problem of pipeline inspection and oil leakage monitoring, a collaborative weighted mobile sensing scheme is propos...

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Detalles Bibliográficos
Autores principales: Tang, Chengpei, Shokla, Sanesy Kumcr, Modhawar, George, Wang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801637/
https://www.ncbi.nlm.nih.gov/pubmed/26907285
http://dx.doi.org/10.3390/s16020261
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author Tang, Chengpei
Shokla, Sanesy Kumcr
Modhawar, George
Wang, Qiang
author_facet Tang, Chengpei
Shokla, Sanesy Kumcr
Modhawar, George
Wang, Qiang
author_sort Tang, Chengpei
collection PubMed
description Collaborative strategies for mobile sensor nodes ensure the efficiency and the robustness of data processing, while limiting the required communication bandwidth. In order to solve the problem of pipeline inspection and oil leakage monitoring, a collaborative weighted mobile sensing scheme is proposed. By adopting a weighted mobile sensing scheme, the adaptive collaborative clustering protocol can realize an even distribution of energy load among the mobile sensor nodes in each round, and make the best use of battery energy. A detailed theoretical analysis and experimental results revealed that the proposed protocol is an energy efficient collaborative strategy such that the sensor nodes can communicate with a fusion center and produce high power gain.
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spelling pubmed-48016372016-03-25 An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks Tang, Chengpei Shokla, Sanesy Kumcr Modhawar, George Wang, Qiang Sensors (Basel) Article Collaborative strategies for mobile sensor nodes ensure the efficiency and the robustness of data processing, while limiting the required communication bandwidth. In order to solve the problem of pipeline inspection and oil leakage monitoring, a collaborative weighted mobile sensing scheme is proposed. By adopting a weighted mobile sensing scheme, the adaptive collaborative clustering protocol can realize an even distribution of energy load among the mobile sensor nodes in each round, and make the best use of battery energy. A detailed theoretical analysis and experimental results revealed that the proposed protocol is an energy efficient collaborative strategy such that the sensor nodes can communicate with a fusion center and produce high power gain. MDPI 2016-02-19 /pmc/articles/PMC4801637/ /pubmed/26907285 http://dx.doi.org/10.3390/s16020261 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 by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tang, Chengpei
Shokla, Sanesy Kumcr
Modhawar, George
Wang, Qiang
An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks
title An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks
title_full An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks
title_fullStr An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks
title_full_unstemmed An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks
title_short An Effective Collaborative Mobile Weighted Clustering Schemes for Energy Balancing in Wireless Sensor Networks
title_sort effective collaborative mobile weighted clustering schemes for energy balancing in wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801637/
https://www.ncbi.nlm.nih.gov/pubmed/26907285
http://dx.doi.org/10.3390/s16020261
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