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Analysis of energy consumption in a wireless sensor network using fuzzy memberships function

The use of sensors in every application as well as in today's life has become a huge demand. Since that, the public sphere is starting to move to mobile applications that are easy to access. For example, child monitoring at school, health monitoring, tracking system, fire detection and so on. T...

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Main Authors: Wan Isni Sofiah, Wan Din, Ramalingam, Mritha, Nuramera, Abdullah
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2020
Subjects:
QA76 Computer software
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/29156/1/Analysis%20of%20energy%20consumption%20in%20a%20wireless%20sensor.pdf
http://umpir.ump.edu.my/id/eprint/29156/
https://doi.org/10.1088/1757-899X/769/1/012062
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spelling my.ump.umpir.291562022-04-22T02:10:18Z http://umpir.ump.edu.my/id/eprint/29156/ Analysis of energy consumption in a wireless sensor network using fuzzy memberships function Wan Isni Sofiah, Wan Din Ramalingam, Mritha Nuramera, Abdullah QA76 Computer software TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The use of sensors in every application as well as in today's life has become a huge demand. Since that, the public sphere is starting to move to mobile applications that are easy to access. For example, child monitoring at school, health monitoring, tracking system, fire detection and so on. Thus, the Wireless Sensor Network (WSN) is the preferred choice to meet these needs. However, despite the enthusiasm of building various applications using sensors, the WSN itself is still hampered by limited battery usage. Due to some applications that require long battery life, various types of research have been conducted to address this problem. One of these is the involvement of artificial intelligent (AI) in extending the life of a battery on a sensor. Fuzzy Logic (FL) is one of the preferred AI that have been chosen by researchers to be implemented with WSN especially to protract the lifetime of WSN. In Fuzzy Logic, there are three membership functions that need to investigate the capability of it towards the WSN applications. The proposed approach is by combining different types of Fuzzy Logic membership functions which are Triangular with Gaussian, Gaussian with Trapezoidal and Trapezoidal with Triangular to get the best results for analysing the use of sensor batteries. The parameters involved for the cluster head selection are communication cost, centrality and residual energy as Fuzzy inputs. This approach will use an existing algorithm which is Multi- Tier Algorithm (MAP) and this is a part of the MAP enhancement towards the WSN lifetime. The results will compare, discuss and analyst the number of dead nodes and energy usage of the sensor node during data transmission. In conclusion, through this approach, it able to prolong the lifetime for the sensor network since the proposed technique can reduce the energy usage of the sensor nodes. IOP Publishing 2020-06-05 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/29156/1/Analysis%20of%20energy%20consumption%20in%20a%20wireless%20sensor.pdf Wan Isni Sofiah, Wan Din and Ramalingam, Mritha and Nuramera, Abdullah (2020) Analysis of energy consumption in a wireless sensor network using fuzzy memberships function. In: IOP Conference Series: Materials Science and Engineering; 6th International Conference on Software Engineering and Computer Systems, ICSECS 2019, 25 - 27 September 2019 , Vistana Kuantan City Center, Kuantan, Pahang. pp. 1-11., 769 (1). ISSN 1757-8981 (Print), 1757-899X (Online) https://doi.org/10.1088/1757-899X/769/1/012062
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA76 Computer software
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Wan Isni Sofiah, Wan Din
Ramalingam, Mritha
Nuramera, Abdullah
Analysis of energy consumption in a wireless sensor network using fuzzy memberships function
description The use of sensors in every application as well as in today's life has become a huge demand. Since that, the public sphere is starting to move to mobile applications that are easy to access. For example, child monitoring at school, health monitoring, tracking system, fire detection and so on. Thus, the Wireless Sensor Network (WSN) is the preferred choice to meet these needs. However, despite the enthusiasm of building various applications using sensors, the WSN itself is still hampered by limited battery usage. Due to some applications that require long battery life, various types of research have been conducted to address this problem. One of these is the involvement of artificial intelligent (AI) in extending the life of a battery on a sensor. Fuzzy Logic (FL) is one of the preferred AI that have been chosen by researchers to be implemented with WSN especially to protract the lifetime of WSN. In Fuzzy Logic, there are three membership functions that need to investigate the capability of it towards the WSN applications. The proposed approach is by combining different types of Fuzzy Logic membership functions which are Triangular with Gaussian, Gaussian with Trapezoidal and Trapezoidal with Triangular to get the best results for analysing the use of sensor batteries. The parameters involved for the cluster head selection are communication cost, centrality and residual energy as Fuzzy inputs. This approach will use an existing algorithm which is Multi- Tier Algorithm (MAP) and this is a part of the MAP enhancement towards the WSN lifetime. The results will compare, discuss and analyst the number of dead nodes and energy usage of the sensor node during data transmission. In conclusion, through this approach, it able to prolong the lifetime for the sensor network since the proposed technique can reduce the energy usage of the sensor nodes.
format Conference or Workshop Item
author Wan Isni Sofiah, Wan Din
Ramalingam, Mritha
Nuramera, Abdullah
author_facet Wan Isni Sofiah, Wan Din
Ramalingam, Mritha
Nuramera, Abdullah
author_sort Wan Isni Sofiah, Wan Din
title Analysis of energy consumption in a wireless sensor network using fuzzy memberships function
title_short Analysis of energy consumption in a wireless sensor network using fuzzy memberships function
title_full Analysis of energy consumption in a wireless sensor network using fuzzy memberships function
title_fullStr Analysis of energy consumption in a wireless sensor network using fuzzy memberships function
title_full_unstemmed Analysis of energy consumption in a wireless sensor network using fuzzy memberships function
title_sort analysis of energy consumption in a wireless sensor network using fuzzy memberships function
publisher IOP Publishing
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/29156/1/Analysis%20of%20energy%20consumption%20in%20a%20wireless%20sensor.pdf
http://umpir.ump.edu.my/id/eprint/29156/
https://doi.org/10.1088/1757-899X/769/1/012062
_version_ 1731225773612728320
score 13.211869

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