MSoC: Multi-scale Optimized Clustering for Energy Preservation in Wireless Sensor Network

  • A. P. JyothiEmail author
  • S. Usha


Energy efficient clustering has always been the center of attention among the research community pertaining to wireless sensor network (WSN). Till last decade, there have been significant studies towards clustering technique as well as energy efficiency, but no robust solution has yet been evolved. Therefore, this manuscript introduces a unique optimization scheme for the purpose of enhancing the clustering techniques. The technique is called as MSoC or multi-scale optimized clustering, where a novel clustering technique is shown with an aid of single and multi-level clustering approximation method. The technique also introduces a concept of RF Transceiver that can solve the energy problems in data aggregation for large scale WSN. The result acquired from the study exhibits to better performance with respect to energy conservation on higher number of simulation rounds till date in comparison to existing techniques.


Clustering Energy efficiency Network lifetime Optimization Wireless sensor network (WSN) 



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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringRRCE Research CentreBengaluruIndia
  2. 2.VTUBelagaviIndia
  3. 3.Department of Computer Science and EngineeringRRCEBengaluruIndia

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