Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks

Faiza Al-Salti; Khaled Day; Nasser Alzeidi; Abderezak Touzene

doi:10.1109/ISNCC.2018.8531063

Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks

Faiza Al-Salti, Khaled Day, Nasser Alzeidi, Abderezak Touzene

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (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 language	English
Title of host publication	2018 International Symposium on Networks, Computers and Communications, ISNCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538637784
DOIs	https://doi.org/10.1109/ISNCC.2018.8531063
Publication status	Published - Nov 9 2018
Event	2018 International Symposium on Networks, Computers and Communications, ISNCC 2018 - Rome, Italy Duration: Jun 19 2018 → Jun 21 2018

Other

Other	2018 International Symposium on Networks, Computers and Communications, ISNCC 2018
Country/Territory	Italy
City	Rome
Period	6/19/18 → 6/21/18

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

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10.1109/ISNCC.2018.8531063

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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 proceeding › Conference 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

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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",

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AU - Al-Salti, Faiza

AU - Day, Khaled

AU - Alzeidi, Nasser

AU - Touzene, Abderezak

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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.

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KW - UWSNs

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Multiple Sink Placement Strategy for Underwater Wireless Sensor Networks

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Keywords

ASJC Scopus subject areas

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