Optimal Sink-Node Placement and Routing for an Energy Efficient Two-Tier Wireless Sensor Network

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

5 Citations (Scopus)

Abstract

Wireless sensor networks (WSNs) are increasingly proving to be flexible and cheap alternative monitoring systems in a variety of application. Their use to enhance the provision of electricity enables the implementation of smart grids, where energy flows are closely combined with the provision of other energy-related information. The limited battery lifetime of the sensor nodes remains a prominent research challenge and limiting factor in WSN deployment. This paper proposes a joint constrained optimal sink placement and energy-efficient routing with the aim of extending the WSN's lifetime. The proposed solution is a particle swarm optimization (PSO)-based algorithm that can be used for planning the deployment of WSNs in smart grids. The proposed algorithm involves a novel model of encoding the allowable sink locations into the PSO's particle-space. The results show that the proposed algorithm is able to place the sink within the constrained areas while also improving the WSN's lifetime.

Original languageEnglish
Title of host publication2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538630600
DOIs
Publication statusPublished - 13 Sept 2018
Externally publishedYes
Event2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018 - Durban, South Africa
Duration: 6 Aug 20187 Aug 2018

Publication series

Name2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018

Conference

Conference2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018
Country/TerritorySouth Africa
CityDurban
Period6/08/187/08/18

Keywords

  • energy efficient routing
  • optimal sink placement
  • smart grid
  • warticle swarm optimization
  • wireless sensor network

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Computer Networks and Communications
  • Artificial Intelligence

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