vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffcd7d0d0000007e05020001000500 Wireless sensor networks (WSNs) have been vastly developed due to the advances in microelectromechanical systems (MEMS) using WSN to study and monitor the environments towards climates changes. In environmental monitoring, sensors are randomly deployed over the interest area to periodically sense the physical environments for a few months or even a year. Therefore, to prolong the network lifetime with limited battery capacity becomes a challenging issue. Low energy adaptive cluster hierarchical (LEACH) is the common clustering protocol that aim to reduce the energy consumption by rotating the heavy workload cluster heads (CHs). The CHs election in LEACH is based on probability model which will lead to inefficient in energy consumption due to least desired CHs location in the network. In WSNs, the CHs location can directly influence the network energy consumption and further affect the network lifetime. In this paper, factors which will affect the network lifetime will be presented and the demonstration of fuzzy logic based CH selection conducted in base station (BS) will also be carried out. To select suitable CHs that will prolong the network first node dies (FND) round and consistent throughput to the BS, energy level and distance to the BS are selected as fuzzy inputs.
Zhan Wei Siew1, Chen How Wong1, Aroland Kiring1, Renee Ka Yin Chin1 and Kenneth Tze Kin Teo2
Universiti Malaysia Sabah, Malaysia
Wireless Sensor Network, Cluster Head, First Node Dies, Fuzzy Logic
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| Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 3 , Issue: 4 , Pages: 639-645 )
Date of Publication :
December 2012
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