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Journal of Artificial Intelligence
  Year: 2014 | Volume: 7 | Issue: 1 | Page No.: 35-44
DOI: 10.3923/jai.2014.35.44
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BACHS-Battery Aware Cluster Head Selection

M. Senthil, V. Rajamani and G.R. Kanagachidambaresan

Wireless Sensor Network (WSN) serves the purpose of monitoring the physical quantities from the real world. The WSN are battery powered and energy depleting in nature. Energy enhancement of WSN has attracted many researchers in enhancing the energy of the Sensor Node (SN). This study concentrates on enhancing the lifetime of the WSN and increasing the throughput of the network based on the battery voltage of the SN. Energy depletion due to radio model is taken into consideration, the distance between the sender and receiver plays the major role in lifetime of WSN. Apart from distance, the battery curve of the SN is taken into consideration. Node functionality is assigned as per these factors and an unequal clustering is formed for avoiding energy hole attack in the WSN. The proposed BACHS algorithm outperforms the other 2 protocols in terms of lifetime by 1.7.
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  •    Lack of Power Avoidance: A Fault Classification Based Fault Tolerant Framework Solution for Lifetime Enhancement and Reliable Communication in Wireless Sensor Networks
  •    A Cluster-based and Tree-based Power Efficient Data Collection and Aggregation Protocol for Wireless Sensor Networks
  •    EEHCA: An Energy-Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks
  •    An Energy-Balancing Unequal Clustering Protocol for Wireless Sensor Networks
How to cite this article:

M. Senthil, V. Rajamani and G.R. Kanagachidambaresan, 2014. BACHS-Battery Aware Cluster Head Selection. Journal of Artificial Intelligence, 7: 35-44.

DOI: 10.3923/jai.2014.35.44






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