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  • 标题:HYBRID APPROACH FOR ENERGY OPTIMIZATION IN CLUSTER BASED WSN USING ENERGY BALANCING CLUSTERING PROTOCOL
  • 本地全文:下载
  • 作者:T.SHANKAR ; Dr.S.SHANMUGAVEL
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:49
  • 期号:3
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In recent times, the technology of wireless sensor network has a great impact on technical fields like wireless communication, information technology, electrical etc. However the major problem faced in this technology is that the sensor nodes run out of energy very quickly. Many routing protocols have been proposed to solve this problem mainly focussing on the accomplishment of minimizing the energy consumption in the sensor system. In this paper, two hierarchical protocols cluster based and chain based protocol for WSNs have been discussed. In both type of protocols some special nodes called cluster heads/chain heads acts as leader for a group of nodes. Each head collects data from its member nodes and forward it to the sink (base station). Here consider a homogeneous network where all the nodes in the network have uniform and limited resource energy. So it is essential to avoid quick depletion of head nodes. Hence every node in the network takes their turn to act as head but only for a limited period of time. Energy saving in these approaches can be obtained by cluster formation, head election and data aggregation at the head nodes. The proposed Energy Balancing Clustering Protocol (EBCP) which uses Bacterial Foraging Optimization Algorithm in electing the cluster head. The simulation results shows that the proposed protocol extends the life time of the network when compared with Energy Efficient Unequal Clustering (EEUC)and PEGASIS with Double Cluster Head technique(PDCH).
  • 关键词:BFO; Cluster Head; PEGASIS; Static clustering; WSN
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