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Research Journal of Information Technology
  Year: 2011 | Volume: 3 | Issue: 3 | Page No.: 191-200
DOI: 10.3923/rjit.2011.191.200
 
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UDCA: Energy Optimization in Wireless Sensor Networks Using Uniform Distributed Clustering Algorithms

A.P. Abidoye, N.A. Azeez, A.O. Adesina and K.K. Agbele

Abstract:
Transceivers are the major energy consumption in a Wireless Sensor Network which is made of low-power, small in size, low cost and multi-functional nodes. These sensor nodes are operated by batteries which put significant constraint to the energy available to them. Each sensor node collects sensed data and forwards it to a single processing centre called the base station which uses all reported data to detect an event or determine the changes in an environment. In present study, we propose energy optimization in Wireless Sensor Networks (WSNs) using uniform distributed clustering algorithms. One of the algorithms distributes cluster heads uniformly in each cluster and each non-cluster head transmit its data to the cluster heads with short distance which reduces the communication distance of each node. Thus, minimizes the energy consumption of sensor nodes. The second algorithm generates cluster heads in hierarchical form in order to transmit the aggregate data to the base station. It was observed that there is increase in energy savings as we move from bottom up in the hierarchy. Both UDCA protocol and Low Energy Adaptive Cluster Hierarchy protocol (LEACH) were simulated. The simulation results show significant reduction in energy consumption of sensor nodes and cluster heads are more uniformly distributed among all nodes in UDCA compare with LEACH and extend the wireless sensor networks lifetime.
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How to cite this article:

A.P. Abidoye, N.A. Azeez, A.O. Adesina and K.K. Agbele, 2011. UDCA: Energy Optimization in Wireless Sensor Networks Using Uniform Distributed Clustering Algorithms. Research Journal of Information Technology, 3: 191-200.

DOI: 10.3923/rjit.2011.191.200

URL: https://scialert.net/abstract/?doi=rjit.2011.191.200

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