Energy Efficient Cluster Based Routing Protocol for wireless sensor networks

M. Krishna Chennakesava Rao, Maheswar Vissa, S. Mrudula, Ashutosh Kumar Dikshit

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper elucidates an Energy Efficient Cluster Based Routing Protocol (EECBRP) for wireless sensor networks. It accomplishes ameliorate performance by means of network lifetime and energy efficiency. It is used to pile up data from scattered sensor nodes and transmit the same to a base station. EEBCRP is designed to shore up the remote monitoring in sensor networks, periodically. Major issues here are, cluster head (CH) selection, forming cluster scheme and a routing algorithm for the data transmission between cluster heads and the base station. The cluster formation is carried out by exchanging messages between member nodes and the cluster head. The key function of the cluster head is rotated at predefined interval to assure even distribution of energy among the sensor nodes. The routing is based on the flawless hauling range data transmission between base station and cluster heads using multi-hop. Its performance is figured out by comparing with LEACH routing protocol using NS2. It ensures 20% more life time than LEACH protocol.

Original languageEnglish
Title of host publication2015 International Conference on Control Instrumentation Communication and Computational Technologies, ICCICCT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages813-817
Number of pages5
ISBN (Electronic)9781467398251
DOIs
Publication statusPublished - 19-05-2016
Externally publishedYes
EventInternational Conference on Control, Instrumentation, Communication and Computational Technologies, ICCICCT 2015 - Kumaracoil, India
Duration: 18-12-201519-12-2015

Conference

ConferenceInternational Conference on Control, Instrumentation, Communication and Computational Technologies, ICCICCT 2015
CountryIndia
CityKumaracoil
Period18-12-1519-12-15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation
  • Control and Systems Engineering
  • Artificial Intelligence
  • Computational Theory and Mathematics

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