Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks

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

1 Citation (Scopus)

Abstract

We propose a mathematical model for multiple sink placement in Underwater Wireless Sensor Networks (UWSNs). The model is constructed for a 3D mesh topology. Our objective is to minimize the overall number of hops of every source-closest sink pair of cells. We analyze the constructed model, and prove its hardness by reducing the k-median problem, a well-known NP-hard problem to our problem. We then use the Partitioning Around Medoid (PAM) approximation algorithm to find a near optimal solution to our sink placement problem. We test the solutions obtained by this approximation algorithm by comparing them with the optimal solutions obtained using a brute force method. We also compare the approximate solutions with solutions obtained using a random-based heuristic. Results show that the proposed PAM-based approximation achieves remarkably near-optimal solutions.

Original languageEnglish
Title of host publication2018 International Symposium on Networks, Computers and Communications, ISNCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538637784
DOIs
Publication statusPublished - Nov 9 2018
Event2018 International Symposium on Networks, Computers and Communications, ISNCC 2018 - Rome, Italy
Duration: Jun 19 2018Jun 21 2018

Other

Other2018 International Symposium on Networks, Computers and Communications, ISNCC 2018
CountryItaly
CityRome
Period6/19/186/21/18

Fingerprint

Approximation algorithms
Wireless sensor networks
Computational complexity
Hardness
Topology
Mathematical models

Keywords

  • approximation algorithm
  • hop count
  • k-median
  • Multiple sink placement
  • UWSNs

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality

Cite this

Al-Salti, F., Day, K., Alzeidi, N., & Touzene, A. (2018). Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks. In 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018 [8531063] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISNCC.2018.8531063

Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks. / Al-Salti, Faiza; Day, Khaled; Alzeidi, Nasser; Touzene, Abderezak.

2018 International Symposium on Networks, Computers and Communications, ISNCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8531063.

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

Al-Salti, F, Day, K, Alzeidi, N & Touzene, A 2018, Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks. in 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018., 8531063, Institute of Electrical and Electronics Engineers Inc., 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018, Rome, Italy, 6/19/18. https://doi.org/10.1109/ISNCC.2018.8531063
Al-Salti F, Day K, Alzeidi N, Touzene A. Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks. In 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8531063 https://doi.org/10.1109/ISNCC.2018.8531063
Al-Salti, Faiza ; Day, Khaled ; Alzeidi, Nasser ; Touzene, Abderezak. / Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks. 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018.
@inproceedings{fed36173ab0c432ba9998a776a434957,
title = "Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks",
abstract = "We propose a mathematical model for multiple sink placement in Underwater Wireless Sensor Networks (UWSNs). The model is constructed for a 3D mesh topology. Our objective is to minimize the overall number of hops of every source-closest sink pair of cells. We analyze the constructed model, and prove its hardness by reducing the k-median problem, a well-known NP-hard problem to our problem. We then use the Partitioning Around Medoid (PAM) approximation algorithm to find a near optimal solution to our sink placement problem. We test the solutions obtained by this approximation algorithm by comparing them with the optimal solutions obtained using a brute force method. We also compare the approximate solutions with solutions obtained using a random-based heuristic. Results show that the proposed PAM-based approximation achieves remarkably near-optimal solutions.",
keywords = "approximation algorithm, hop count, k-median, Multiple sink placement, UWSNs",
author = "Faiza Al-Salti and Khaled Day and Nasser Alzeidi and Abderezak Touzene",
year = "2018",
month = "11",
day = "9",
doi = "10.1109/ISNCC.2018.8531063",
language = "English",
booktitle = "2018 International Symposium on Networks, Computers and Communications, ISNCC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks

AU - Al-Salti, Faiza

AU - Day, Khaled

AU - Alzeidi, Nasser

AU - Touzene, Abderezak

PY - 2018/11/9

Y1 - 2018/11/9

N2 - We propose a mathematical model for multiple sink placement in Underwater Wireless Sensor Networks (UWSNs). The model is constructed for a 3D mesh topology. Our objective is to minimize the overall number of hops of every source-closest sink pair of cells. We analyze the constructed model, and prove its hardness by reducing the k-median problem, a well-known NP-hard problem to our problem. We then use the Partitioning Around Medoid (PAM) approximation algorithm to find a near optimal solution to our sink placement problem. We test the solutions obtained by this approximation algorithm by comparing them with the optimal solutions obtained using a brute force method. We also compare the approximate solutions with solutions obtained using a random-based heuristic. Results show that the proposed PAM-based approximation achieves remarkably near-optimal solutions.

AB - We propose a mathematical model for multiple sink placement in Underwater Wireless Sensor Networks (UWSNs). The model is constructed for a 3D mesh topology. Our objective is to minimize the overall number of hops of every source-closest sink pair of cells. We analyze the constructed model, and prove its hardness by reducing the k-median problem, a well-known NP-hard problem to our problem. We then use the Partitioning Around Medoid (PAM) approximation algorithm to find a near optimal solution to our sink placement problem. We test the solutions obtained by this approximation algorithm by comparing them with the optimal solutions obtained using a brute force method. We also compare the approximate solutions with solutions obtained using a random-based heuristic. Results show that the proposed PAM-based approximation achieves remarkably near-optimal solutions.

KW - approximation algorithm

KW - hop count

KW - k-median

KW - Multiple sink placement

KW - UWSNs

UR - http://www.scopus.com/inward/record.url?scp=85058445261&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058445261&partnerID=8YFLogxK

U2 - 10.1109/ISNCC.2018.8531063

DO - 10.1109/ISNCC.2018.8531063

M3 - Conference contribution

AN - SCOPUS:85058445261

BT - 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -