Energy efficient clustering algorithm in wireless sensor networks using fuzzy logic control

Siew, Z. W. and Aroland M'Conie Jilui Kiring, and Yew, Hoe Tung and Neelakantan, Prabhakaran C. and Teo, Kenneth Tze Kin (2011) Energy efficient clustering algorithm in wireless sensor networks using fuzzy logic control. In: 2011 IEEE Colloquium on Humanities, Science and Engineering, CHUSER 2011, 5-6 December 2011, Penang, Malaysia .

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Official URL: http://dx.doi.org/10.1109/CHUSER.2011.6163758

Abstract

In general, environment monitoring cluster based hierarchical routing protocol is among the most common protocol being opted due to the load balancing among each other sensor. Sensors are randomly deployed in a specific area to collect useful information periodically for a few months or even a few years. Therefore, battery power limitation becomes a challenging issue. It is also impractical to maintain the network lifetime by changing the battery frequently. Low energy adaptive cluster hierarchical (LEACH) is one of the common clustering protocols that will elect the cluster head based on the probability model which will possibly lead to a reduce in network lifetime due to election of cluster head with a least desired location in the network. For wireless sensor networks, the distribution of cluster head selection directly influences the network's lifetime. This paper presents factors which will affect the network lifetime and apply fuzzy logic based cluster head selection conducted in base station. The base station considers two selection criteria from sensor nodes which are energy level and distance to the base station to select the suitable cluster head that will prolong the first node die (FND) time, data stream guaranteed for every round and also increase the throughput received by the base station before FND. ©

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Clustering hierarchical, First node die, Fuzzy logic, Wireless sensor network, Battery power, Cluster head, Cluster-based, Clustering hierarchical, Clustering protocol, Data stream, Distribution of cluster, Energy efficient, Environment monitoring, Fuzzy logic control, Hierarchical routing protocol, Low energies, Network lifetime, Probability models, Selection criteria, Specific areas
Subjects:Q Science > QA Mathematics
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:4120
Deposited By:IR Admin
Deposited On:10 May 2012 16:40
Last Modified:08 Sep 2014 16:05

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