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...

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Main Authors: Kyuhong Lee, Heesang Lee
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2012-01-01
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.
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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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