CAF: Cluster algorithm and a-star with fuzzy approach for lifetime enhancement in wireless sensor networks
Name:
Article-Abstract_a-CAF_Cluste-2014-04-28.pdf
Size:
3.561Mb
Format:
PDF
Description:
Article - Full Text
Type
ArticleKAUST Department
Computer Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Machine Intelligence & kNowledge Engineering Lab
Date
2014-04-28Online Publication Date
2014-04-28Print Publication Date
2014Permanent link to this record
http://hdl.handle.net/10754/334542
Metadata
Show full item recordAbstract
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.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 LimitedJournal
Abstract and Applied Analysisae974a485f413a2113503eed53cd6c53
10.1155/2014/936376
Scopus Count
The following license files are associated with this item:
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.