DocumentCode :
160351
Title :
Clustering process for maximizing lifetime using probabilistic logic in WSN
Author :
Prabhavathi, S. ; Subramanyam, A. ; Rao, A. Ananda
Author_Institution :
RYMEC Bellary, Bellary, India
fYear :
2014
fDate :
11-13 July 2014
Firstpage :
1
Lastpage :
7
Abstract :
Energy attribute has always been the topic of concern in the area of wireless sensor network (WSN). Although, abundant research has been conducted for addressing the energy issues in WSN, but the majority of the techniques were explored with various flaws that couldn´t effectively address such issues. Hence, the proposed paper introduces a technique that performs a hierarchical clustering technique in order to enhance the total network lifetime of the sensor motes in the wireless transmission area. The technique applies non-deterministic approach and adopts intra-phase and inter-phase clustering. Every phase of the non-deterministic parameters enforces the optimal participation of the cluster members in the process of selection of cluster head. Finally, the simulation is performed in varied parameters and compared with the more standard LEACH protocol to find that the proposed technique highly enhances the network lifetime by 42%.
Keywords :
optimisation; pattern clustering; probabilistic logic; protocols; wireless sensor networks; WSN; clustering process; energy attribute; hierarchical clustering technique; interphase clustering; maximizing lifetime; network lifetime; probabilistic logic; sensor motes; standard LEACH protocol; wireless sensor network; wireless transmission area; Base stations; Clustering algorithms; Fuzzy logic; Nominations and elections; Probabilistic logic; Protocols; Wireless sensor networks; Clustering Technique; Energy Consumption; Network Lifetime; Probabilistic Logic; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4799-2695-4
Type :
conf
DOI :
10.1109/ICCCNT.2014.6963034
Filename :
6963034
Link To Document :
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