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dc.contributor.authorYuan, Y.
dc.contributor.authorLi, C.
dc.contributor.authorYang, Y.
dc.contributor.authorZhang, Xiangliang
dc.contributor.authorLi, L.
dc.date.accessioned2014-11-11T14:29:02Z
dc.date.available2014-11-11T14:29:02Z
dc.date.issued2014-04-28
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.
dc.identifier.issn10853375
dc.identifier.doi10.1155/2014/936376
dc.identifier.urihttp://hdl.handle.net/10754/334542
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.
dc.language.isoen
dc.publisherHindawi Publishing Corporation
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.
dc.rightsArchived with thanks to Abstract and Applied Analysis
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleCAF: Cluster algorithm and a-star with fuzzy approach for lifetime enhancement in wireless sensor networks
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journalAbstract and Applied Analysis
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSchool of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu 730000, China
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personZhang, Xiangliang
refterms.dateFOA2018-06-14T07:16:58Z


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This 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.
Except where otherwise noted, this item's license is described as This 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.