Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region

With the rapid development and maturity of communication technology, embed ded computing technology and sensor technology, sensor appears. Meanwhile, wireless sensor network is developing rapidly. The advantages of wireless sen sor network make it widely used in many fields, which greatly facilitate...

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Main Author: Yin, Yihu
Other Authors: Xiao Gaoxi
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/159023
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1590232022-06-05T12:00:36Z Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region Yin, Yihu Xiao Gaoxi School of Electrical and Electronic Engineering EGXXiao@ntu.edu.sg Engineering::Electrical and electronic engineering With the rapid development and maturity of communication technology, embed ded computing technology and sensor technology, sensor appears. Meanwhile, wireless sensor network is developing rapidly. The advantages of wireless sen sor network make it widely used in many fields, which greatly facilitates in dividuals’ life. All electronic devices need energy to support operation, and so do sensors. Therefore, energy consumption optimization in wireless sensor net works has become the focus of research. Energy consumption optimization can be realized by selecting different Cluster Head positions in previous researches. However, they didn’t consider the existence of prohibited regions, which cannot be ignored in practical application scenarios. This paper mainly focuses on how to select the position of Cluster Head in the two-dimensional plane to achieve the lowest energy consumption in the case of prohibited regions. On the basis of the global optimal location calculated by the existing algorithms, the offset from the optimal location was set to observe the change of energy consumption through offset distance, and the algorithm was designed to solve the position of the second optimal Cluster Head location successfully in different kind of pro hibited regions under single-cluster and multi-cluster circumstances. This paper presents an analytical solution for the circle and rectangle regions and a sampling solution for irregular region. Finally, simulation is designed to verify the correctness and superiority of the algorithm. Master of Science (Communications Engineering) 2022-06-05T12:00:36Z 2022-06-05T12:00:36Z 2022 Thesis-Master by Coursework Yin, Y. (2022). Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/159023 https://hdl.handle.net/10356/159023 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
Yin, Yihu
Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region
description With the rapid development and maturity of communication technology, embed ded computing technology and sensor technology, sensor appears. Meanwhile, wireless sensor network is developing rapidly. The advantages of wireless sen sor network make it widely used in many fields, which greatly facilitates in dividuals’ life. All electronic devices need energy to support operation, and so do sensors. Therefore, energy consumption optimization in wireless sensor net works has become the focus of research. Energy consumption optimization can be realized by selecting different Cluster Head positions in previous researches. However, they didn’t consider the existence of prohibited regions, which cannot be ignored in practical application scenarios. This paper mainly focuses on how to select the position of Cluster Head in the two-dimensional plane to achieve the lowest energy consumption in the case of prohibited regions. On the basis of the global optimal location calculated by the existing algorithms, the offset from the optimal location was set to observe the change of energy consumption through offset distance, and the algorithm was designed to solve the position of the second optimal Cluster Head location successfully in different kind of pro hibited regions under single-cluster and multi-cluster circumstances. This paper presents an analytical solution for the circle and rectangle regions and a sampling solution for irregular region. Finally, simulation is designed to verify the correctness and superiority of the algorithm.
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Yin, Yihu
format Thesis-Master by Coursework
author Yin, Yihu
author_sort Yin, Yihu
title Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region
title_short Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region
title_full Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region
title_fullStr Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region
title_full_unstemmed Algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region
title_sort algorithms for finding best locations of cluster heads for minimizing energy consumption in wireless sensor networks with prohibited region
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/159023
_version_ 1735491110699008000