CAF: Cluster algorithm and a-star with fuzzy approach for lifetime enhancement in wireless sensor networks

Handle URI:
http://hdl.handle.net/10754/334542
Title:
CAF: Cluster algorithm and a-star with fuzzy approach for lifetime enhancement in wireless sensor networks
Authors:
Yuan, Y.; Li, C.; Yang, Y.; Zhang, Xiangliang ( 0000-0002-3574-5665 ) ; Li, L.
Abstract:
Energy is a major factor in designing wireless sensor networks (WSNs). In particular, in the real world, battery energy is limited; thus the effective improvement of the energy becomes the key of the routing protocols. Besides, the sensor nodes are always deployed far away from the base station and the transmission energy consumption is index times increasing with the increase of distance as well. This paper proposes a new routing method for WSNs to extend the network lifetime using a combination of a clustering algorithm, a fuzzy approach, and an A-star method. The proposal is divided into two steps. Firstly, WSNs are separated into clusters using the Stable Election Protocol (SEP) method. Secondly, the combined methods of fuzzy inference and A-star algorithm are adopted, taking into account the factors such as the remaining power, the minimum hops, and the traffic numbers of nodes. Simulation results demonstrate that the proposed method has significant effectiveness in terms of balancing energy consumption as well as maximizing the network lifetime by comparing the performance of the A-star and fuzzy (AF) approach, cluster and fuzzy (CF)method, cluster and A-star (CA)method, A-star method, and SEP algorithm under the same routing criteria. 2014 Yali Yuan et al.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Yuan Y, Li C, Yang Y, Zhang X, Li L (2014) CAF: Cluster Algorithm and A-Star with Fuzzy Approach for Lifetime Enhancement in Wireless Sensor Networks. Abstract and Applied Analysis 2014: 1-17. doi:10.1155/2014/936376.
Publisher:
Hindawi Publishing Corporation
Journal:
Abstract and Applied Analysis
Issue Date:
28-Apr-2014
DOI:
10.1155/2014/936376
Type:
Article
ISSN:
10853375
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorYuan, Y.en
dc.contributor.authorLi, C.en
dc.contributor.authorYang, Y.en
dc.contributor.authorZhang, Xiangliangen
dc.contributor.authorLi, L.en
dc.date.accessioned2014-11-11T14:29:02Z-
dc.date.available2014-11-11T14:29:02Z-
dc.date.issued2014-04-28en
dc.identifier.citationYuan Y, Li C, Yang Y, Zhang X, Li L (2014) CAF: Cluster Algorithm and A-Star with Fuzzy Approach for Lifetime Enhancement in Wireless Sensor Networks. Abstract and Applied Analysis 2014: 1-17. doi:10.1155/2014/936376.en
dc.identifier.issn10853375en
dc.identifier.doi10.1155/2014/936376en
dc.identifier.urihttp://hdl.handle.net/10754/334542en
dc.description.abstractEnergy is a major factor in designing wireless sensor networks (WSNs). In particular, in the real world, battery energy is limited; thus the effective improvement of the energy becomes the key of the routing protocols. Besides, the sensor nodes are always deployed far away from the base station and the transmission energy consumption is index times increasing with the increase of distance as well. This paper proposes a new routing method for WSNs to extend the network lifetime using a combination of a clustering algorithm, a fuzzy approach, and an A-star method. The proposal is divided into two steps. Firstly, WSNs are separated into clusters using the Stable Election Protocol (SEP) method. Secondly, the combined methods of fuzzy inference and A-star algorithm are adopted, taking into account the factors such as the remaining power, the minimum hops, and the traffic numbers of nodes. Simulation results demonstrate that the proposed method has significant effectiveness in terms of balancing energy consumption as well as maximizing the network lifetime by comparing the performance of the A-star and fuzzy (AF) approach, cluster and fuzzy (CF)method, cluster and A-star (CA)method, A-star method, and SEP algorithm under the same routing criteria. 2014 Yali Yuan et al.en
dc.language.isoenen
dc.publisherHindawi Publishing Corporationen
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.rightsArchived with thanks to Abstract and Applied Analysisen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.titleCAF: Cluster algorithm and a-star with fuzzy approach for lifetime enhancement in wireless sensor networksen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalAbstract and Applied Analysisen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionSchool of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu 730000, Chinaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorZhang, Xiangliangen
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