Multiple Mobile Elements Based Energy Efficient Data Gathering Technique in Wireless Sensor Networks

  • Bhat Geetalaxmi JairamEmail author
  • D. V. Ashoka
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 21)


WSN applications primarily focus on data accumulation from the various sensor nodes spread across the environment. Many existing data gathering protocols work on the principle of using Cluster Head (CH) which is the designated node in a cluster for collecting data and Mobile Element (ME) which collects data from various CH’s and deposits the data in the Base Station (BS). The proposed work on creation of an efficient data gathering technique in WSN, is the result of intense survey of existing technique in related framework and immense understating of the short coming of these existing protocols. The things that predominantly stand out from the survey performed are overflow of buffers at sensor nodes, visiting schedule of MEs, data fusion aspect and Idle listing concept, have not been well addressed. These limitations pave way for inception of novel data gathering technique for WSN. In this paper Energy Efficient Data Gathering Technique using Multiple Mobile Elements (EEDGMME) is introduced. Better efficiency in data gathering technique is achieved by data fusion at Cache Point (CP) which intends to reduce the instances of transmissions, visiting schedule for MEs to reduce buffer overflow and resultant data loss at various nodes of the network, Sleep-Awake duty cycling which prevents the instances of Idle listing and hence conserve the nodes energy. Practical simulation results prove the theoretical perspective of improved performance gains in comparison to the existing protocol Mobile Element based Energy-Efficient Data Gathering with Tour Length-Constrained in WSN (EEDG). Proposed technique EEDGMME provides better packet delivery ratio, lesser delay, reduced overhead, optimum energy consumption with decreased packet drop and hence enhances the network usability span.



This work is sponsored and supported by grant from Vision Group on Science and Technology (VGST), Govt. of Karnataka (GRD-128). The authors wish to thank Dr. S. Ananth Raj, Consultant, VGST, and Prof. G. L. Shekar, NIE., for their encouragement in pursuing this research work.


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© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.The National Institute of EngineeringMysuruIndia
  2. 2.JSS Academy of Technical EducationBengaluruIndia

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