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RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs

The Internet of Things (IoT) relies on Wireless Sensor Networks (WSN) to collect physical data from the environment. Sensor nodes in WSN have limited resources such as memory, energy, and processing power, and data transmission consumes the most energy. Therefore, clustering and data aggregation tec...

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Main Author: Azamuddin, Ab Rahman
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/40324/1/RSSI-guided%20cluster%20head%20selection%20for%20optimal.pdf
http://umpir.ump.edu.my/id/eprint/40324/2/RSSI-guided%20cluster%20head%20selection%20for%20optimal%20optimization%20in%20IoT-enabled%20WSNs_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40324/
https://doi.org/10.1109/ICSECS58457.2023.10256366
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spelling my.ump.umpir.403242024-04-16T04:06:46Z http://umpir.ump.edu.my/id/eprint/40324/ RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs Azamuddin, Ab Rahman QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) The Internet of Things (IoT) relies on Wireless Sensor Networks (WSN) to collect physical data from the environment. Sensor nodes in WSN have limited resources such as memory, energy, and processing power, and data transmission consumes the most energy. Therefore, clustering and data aggregation techniques are designed to achieve energy efficiency in WSN. This research paper proposes a new method, called Energy Efficient of Cluster Head and Relay Node (EECR), which selects Cluster Heads (CH) based on residual energy, distance to the Base Station (BS), and Received Signal Strength Indicator (RSSI). The EECR technique, which uses fuzzy logic for cluster head selection. The aggregated data of the cluster head is then transmitted to the BS to achieve energy efficiency. The EECR technique was tested under three different scenarios and achieved better results in terms of energy efficiency and network lifetime compared to SEP, MAP and EECR 1. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40324/1/RSSI-guided%20cluster%20head%20selection%20for%20optimal.pdf pdf en http://umpir.ump.edu.my/id/eprint/40324/2/RSSI-guided%20cluster%20head%20selection%20for%20optimal%20optimization%20in%20IoT-enabled%20WSNs_ABS.pdf Azamuddin, Ab Rahman (2023) RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 195-199. (192961). ISBN 979-835031093-1 https://doi.org/10.1109/ICSECS58457.2023.10256366
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Azamuddin, Ab Rahman
RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs
description The Internet of Things (IoT) relies on Wireless Sensor Networks (WSN) to collect physical data from the environment. Sensor nodes in WSN have limited resources such as memory, energy, and processing power, and data transmission consumes the most energy. Therefore, clustering and data aggregation techniques are designed to achieve energy efficiency in WSN. This research paper proposes a new method, called Energy Efficient of Cluster Head and Relay Node (EECR), which selects Cluster Heads (CH) based on residual energy, distance to the Base Station (BS), and Received Signal Strength Indicator (RSSI). The EECR technique, which uses fuzzy logic for cluster head selection. The aggregated data of the cluster head is then transmitted to the BS to achieve energy efficiency. The EECR technique was tested under three different scenarios and achieved better results in terms of energy efficiency and network lifetime compared to SEP, MAP and EECR 1.
format Conference or Workshop Item
author Azamuddin, Ab Rahman
author_facet Azamuddin, Ab Rahman
author_sort Azamuddin, Ab Rahman
title RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs
title_short RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs
title_full RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs
title_fullStr RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs
title_full_unstemmed RSSI-guided cluster head selection for optimal optimization in IoT-enabled WSNs
title_sort rssi-guided cluster head selection for optimal optimization in iot-enabled wsns
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40324/1/RSSI-guided%20cluster%20head%20selection%20for%20optimal.pdf
http://umpir.ump.edu.my/id/eprint/40324/2/RSSI-guided%20cluster%20head%20selection%20for%20optimal%20optimization%20in%20IoT-enabled%20WSNs_ABS.pdf
http://umpir.ump.edu.my/id/eprint/40324/
https://doi.org/10.1109/ICSECS58457.2023.10256366
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score 13.235362

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