research-article

An Energy-Efficient Node Deployment Strategy for Energy Harvesting-aided Wireless Sensor Networks

Authors:

Azzedine BoukercheAuthors Info & Claims

Q2SWinet'18: Proceedings of the 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks

Pages 124 - 129

https://doi.org/10.1145/3267129.3267149

Published: 25 October 2018 Publication History

Abstract

Due to the limited battery capacity, energy is the most crucial constraint for improving the performance of widely adopted Wireless Sensor Networks (WSNs). Hence, conserving energy and improving the energy efficiency are important in designing a sustainable WSN. In this article, by taking the advantages of the emerging energy harvest techniques, we introduce a novel energy-efficient hierarchical two-tier (HTT) energy harvesting-aided WSNs deployment scenario. In our design, two types of nodes are adopted: one is the regular battery-powered sensor node (RSN), and the other is the energy harvesting-aided data relaying node (EHN). The objective is to use only RSNs to monitor FoI, while EHNs focus on collecting the sensed data from RSNs and forwarding the gathered data to the data sink. The minimum number of EHNs is deployed based on a newly designed probability density function to minimize the energy consumption of RSNs. This, in turn, extends the lifetime of the deployed WSN. The simulation results indicate that the proposed scheme outperforms some well-known techniques in the network lifetime, while enhancing the total throughput.

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Cited By

Wu QSun PBoukerche A(2020)A Novel Data Collector Path Optimization Method for Lifetime Prolonging in Wireless Sensor Networks2019 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM38437.2019.9013989(1-6)Online publication date: 17-Jun-2020
https://dl.acm.org/doi/10.1109/GLOBECOM38437.2019.9013989

Index Terms

An Energy-Efficient Node Deployment Strategy for Energy Harvesting-aided Wireless Sensor Networks
1. Networks
  1. Network performance evaluation
    1. Network performance analysis
  2. Network properties
    1. Network structure
      1. Topology analysis and generation

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Published In

cover image ACM Conferences

Q2SWinet'18: Proceedings of the 14th ACM International Symposium on QoS and Security for Wireless and Mobile Networks

October 2018

153 pages

ISBN:9781450359634

DOI:10.1145/3267129

General Chair:
Peter Müller
IBM Zurich Research Laboratory, Switzerland
,
Program Chair:
Ahmed Mostefaoui
Femto-ST Institute, University of Franche-Comte, France

Copyright © 2018 ACM.

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New York, NY, United States

Publication History

Published: 25 October 2018

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MSWIM '18

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SIGSIM

MSWIM '18: 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems

October 28 - November 2, 2018

QC, Montreal, Canada

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Overall Acceptance Rate 46 of 131 submissions, 35%

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Cited By

Wu QSun PBoukerche A(2020)A Novel Data Collector Path Optimization Method for Lifetime Prolonging in Wireless Sensor Networks2019 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM38437.2019.9013989(1-6)Online publication date: 17-Jun-2020
https://dl.acm.org/doi/10.1109/GLOBECOM38437.2019.9013989

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