Design and performance evaluation of underwater wireless sensor networks

This study investigates the position optimization problem for underwater wireless sensor networks. It aims to reduce the overall energy consumption and extend the lifetime of the network through clustering mechanism. We first derive the Single Cluster Head Allocation algorithm by deriving the equati...

Full description

Saved in:
Bibliographic Details
Main Author: Shi, Maqian
Other Authors: Xiao Gaoxi
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172836
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-172836
record_format dspace
spelling sg-ntu-dr.10356-1728362023-12-29T15:44:39Z Design and performance evaluation of underwater wireless sensor networks Shi, Maqian Xiao Gaoxi School of Electrical and Electronic Engineering EGXXiao@ntu.edu.sg Engineering::Electrical and electronic engineering This study investigates the position optimization problem for underwater wireless sensor networks. It aims to reduce the overall energy consumption and extend the lifetime of the network through clustering mechanism. We first derive the Single Cluster Head Allocation algorithm by deriving the equations for computing the optimal CH position in the case of a single cluster. Then based on the extension of the single cluster model, models for multiple clusters are introduced to reduce the total energy consumption step by step. The Multiple Cluster Head Allocation algorithms are summarized respectively. After theoretical analysis and experimental simulation, the correctness and superiority of the algorithms are proved. Thus an effective method is provided for the determination of cluster heads in UWSNs. Master of Science (Communications Engineering) 2023-12-26T06:34:29Z 2023-12-26T06:34:29Z 2023 Thesis-Master by Coursework Shi, M. (2023). Design and performance evaluation of underwater wireless sensor networks. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172836 https://hdl.handle.net/10356/172836 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Shi, Maqian
Design and performance evaluation of underwater wireless sensor networks
description This study investigates the position optimization problem for underwater wireless sensor networks. It aims to reduce the overall energy consumption and extend the lifetime of the network through clustering mechanism. We first derive the Single Cluster Head Allocation algorithm by deriving the equations for computing the optimal CH position in the case of a single cluster. Then based on the extension of the single cluster model, models for multiple clusters are introduced to reduce the total energy consumption step by step. The Multiple Cluster Head Allocation algorithms are summarized respectively. After theoretical analysis and experimental simulation, the correctness and superiority of the algorithms are proved. Thus an effective method is provided for the determination of cluster heads in UWSNs.
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Shi, Maqian
format Thesis-Master by Coursework
author Shi, Maqian
author_sort Shi, Maqian
title Design and performance evaluation of underwater wireless sensor networks
title_short Design and performance evaluation of underwater wireless sensor networks
title_full Design and performance evaluation of underwater wireless sensor networks
title_fullStr Design and performance evaluation of underwater wireless sensor networks
title_full_unstemmed Design and performance evaluation of underwater wireless sensor networks
title_sort design and performance evaluation of underwater wireless sensor networks
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/172836
_version_ 1787153689440419840