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EL-CRP: An Energy and Location Aware Clustering Routing Protocol in Large Scale Wireless Sensor Networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the development of Internet of Things (IoTs), large-scale wireless sensor networks (WSNs) are widely used in environment monitoring, industrial testing and intelligent transportation. In order to extend the lifetime of WSNs, it is necessary to reduce the energy consumption of sensors. To achieve the large-scale and flexible deployment, the wireless sensors are required to be low memory overhead. The existing WSN routing protocols are difficult to satisfy the requirements for low energy consumption and low memory overhead in those scenarios. This paper proposes an Energy and Location Aware Clustering Routing Protocol (EL-CRP) for large-scale WSN application scenarios. Using an adaptive clustering method, in which the location and energy of cluster members are considered simultaneously, the protocol reduces the energy consumption and memory overhead in the WSNs. Extensive simulations and hardware tests are conducted to evaluate the performance. Results finally verify the advantages of the protocol in large-scale network scenarios.

Original languageEnglish
Title of host publicationAd Hoc Networks - 11th EAI International Conference, ADHOCNETS 2019, Proceedings
EditorsJun Zheng, Feng Yan, Cheng Li, Peter Han Joo Chong, Weixiao Meng
PublisherSpringer
Pages15-25
Number of pages11
ISBN (Print)9783030372613
DOIs
StatePublished - 2019
Externally publishedYes
Event11th International Conference on Ad Hoc Networks, ADHOCNETS 2019 - Queenstown, New Zealand
Duration: 18 Nov 201921 Nov 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume306 LNICST
ISSN (Print)1867-8211

Conference

Conference11th International Conference on Ad Hoc Networks, ADHOCNETS 2019
Country/TerritoryNew Zealand
CityQueenstown
Period18/11/1921/11/19

Keywords

  • Clustering
  • Energy
  • Large-scale WSNs
  • Location
  • Routing protocol

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