A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks
Efficient energy consumption is a critical factor for the deployment and operation of wireless sensor networks (WSNs). In general, WSNs perform clustering and routing using localized neighbor information only. Therefore, some studies have used self-organized systems and smart mechanisms as research...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Hindawi - SAGE Publishing
2012-01-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2012/156268 |
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author | Kyuhong Lee Heesang Lee |
author_facet | Kyuhong Lee Heesang Lee |
author_sort | Kyuhong Lee |
collection | DOAJ |
description | Efficient energy consumption is a critical factor for the deployment and operation of wireless sensor networks (WSNs). In general, WSNs perform clustering and routing using localized neighbor information only. Therefore, some studies have used self-organized systems and smart mechanisms as research methods. In this paper, we propose a self-organized and smart-adaptive clustering (SOSAC) and routing method, which performs clustering in WSNs, operates the formed clusters in a smart-adaptive way, and performs cluster-based routing. SOSAC is comprised of three mechanisms, which are used to change the fitness value over time, to back up routing information in preparation for any potential breakdown in WSNs, and to adapt to the changes of the number of sensor nodes for a WSN. We compared the performance of the proposed SOSAC with that of a well-known clustering and routing protocol for WSNs. Our computational experiments demonstrate that the network lifetime, energy consumption, and scalability of SOSAC are better than those of the compared method. |
first_indexed | 2024-03-12T19:55:01Z |
format | Article |
id | doaj.art-28e955b460d44c6bbbbda3acc43bc99e |
institution | Directory Open Access Journal |
issn | 1550-1477 |
language | English |
last_indexed | 2024-03-12T19:55:01Z |
publishDate | 2012-01-01 |
publisher | Hindawi - SAGE Publishing |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj.art-28e955b460d44c6bbbbda3acc43bc99e2023-08-02T02:50:20ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772012-01-01810.1155/2012/156268A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor NetworksKyuhong LeeHeesang LeeEfficient energy consumption is a critical factor for the deployment and operation of wireless sensor networks (WSNs). In general, WSNs perform clustering and routing using localized neighbor information only. Therefore, some studies have used self-organized systems and smart mechanisms as research methods. In this paper, we propose a self-organized and smart-adaptive clustering (SOSAC) and routing method, which performs clustering in WSNs, operates the formed clusters in a smart-adaptive way, and performs cluster-based routing. SOSAC is comprised of three mechanisms, which are used to change the fitness value over time, to back up routing information in preparation for any potential breakdown in WSNs, and to adapt to the changes of the number of sensor nodes for a WSN. We compared the performance of the proposed SOSAC with that of a well-known clustering and routing protocol for WSNs. Our computational experiments demonstrate that the network lifetime, energy consumption, and scalability of SOSAC are better than those of the compared method.https://doi.org/10.1155/2012/156268 |
spellingShingle | Kyuhong Lee Heesang Lee A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
title | A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks |
title_full | A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks |
title_fullStr | A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks |
title_full_unstemmed | A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks |
title_short | A Self-Organized and Smart-Adaptive Clustering and Routing Approach for Wireless Sensor Networks |
title_sort | self organized and smart adaptive clustering and routing approach for wireless sensor networks |
url | https://doi.org/10.1155/2012/156268 |
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