The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 27-719
Full Name: Ching-Mu Chen
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Bao-Shan Campus: No.2, Shi-Da Road, Changhua City 500, Taiwan, R.O.C.
Country: TAIWAN
Tel: +88648394147
Tel prefix:
Fax: +88648394147
E-mail address: kchen@dragon.ccut.edu.tw
Other E-mails: jung@dragon.ccut.edu.tw
Title of the Paper: Optimal Cluster Number Selection in Ad-hoc Wireless Sensor Networks
Authors as they appear in the Paper: Tung-Jung Chan, Ching-Mu Chen, Yung-Fa Huang, Jen-Yung Lin, Tair-Rong Chen
Email addresses of all the authors: d95621003@mail.ncue.edu.tw,kchen@dragon.ccut.edu.tw,jung@dragon.ccut.edu.tw
Number of paper pages: 10
Abstract: In clustering-based wireless sensor networks (WSNs), a certain sensing area is divided into many sub-areas. Cluster formation and cluster head selection are well done in the setup phase. With the pre-determined probability and random, every round in the WSNs has the different cluster numbers and cluster heads. However, the well known technique in cluster-based WSN is especially the low energy adaptive cluster hierarchy (LEACH) and its energy performance is improved due to the scheme of clustering, probability, and random. The clustering-based WSN has sensor nodes organized themselves with the pre-determined variable p to form clusters. With the pre-determined p variable and probability, every round has different cluster numbers which are not the optimal solution. Therefore, in order to evenly consume nodes¡¦ energy, this paper proposes a fixed optimal cluster (FOC) numbers that is to analyze the entire network first to have the optimal cluster numbers and then app!
ly it to form the optimal cluster numbers. Moreover, there are two different types of the optimal cluster numbers depending on the location of the base station. One is that the base station is setup at the center of the sensing area. The other is that the base station is setup at the far way of the sensing area. Finally, by the optimization analysis of cluster numbers applied to the ad-hoc WSN before sensor nodes are randomly deployed, the simulation results show the entire network lifetime can be extended very well.
Keywords: Ad-hoc Wireless sensor networks, Analysis, Optimal Cluster numbers, Energy efficiency, Clustering-based, Pre-determined variable, Random, Base station location.
EXTENSION of the file: .pdf
Special (Invited) Session: Optimization Analysis of Cluster Numbers in Ad-hoc Wireless Sensor Networks
Organizer of the Session: 591-817
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