Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster

In wireless sensor networks, data aggregation algorithms are used to extend the network lifetime Size of data transmission from the cluster head node to base station show a critical role in CH nodes energy consumption. In this project three different data aggregation algorithms coding schemes based...

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Main Author:	Ali, Wala'a Hussein
Format:	Thesis
Language:	English English English
Published:	2018
Subjects:	TJ210.2-211.47 Mechanical devices and figures Automata Ingenious mechanisms Robots (General)
Online Access:	http://eprints.uthm.edu.my/456/1/24p%20WALA_A%20HUSSEIN%20ALI%20AL-KAMIL.pdf http://eprints.uthm.edu.my/456/2/WALA_A%20HUSSEIN%20ALI%20AL-KAMIL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/456/3/WALA_A%20HUSSEIN%20ALI%20AL-KAMIL%20WATERMARK.pdf
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spelling	my-uthm-ep.4562021-07-25T06:46:29Z Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster 2018-12 Ali, Wala'a Hussein TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) In wireless sensor networks, data aggregation algorithms are used to extend the network lifetime Size of data transmission from the cluster head node to base station show a critical role in CH nodes energy consumption. In this project three different data aggregation algorithms coding schemes based relative difference (CS-RD), an adaptive method of data aggregation that exploits the spatial correlation between the sensor nodes (ADAM) and coding schemes based the factor of precision (CS-FP) are evaluated. The compared three algorithms are implemented on 15 different scenarios. The algorithms applied separately with (1) Mean (2) Median (3) Mode (4) Geometric mean (5) Harmonic mean. Each scenario applied separately for various sensors temperature, humidity, light and voltage. The performance metrics studied are energy consumption, average of absolute error and data compression ratio. The simulation results show that the best performance is shown by the CS-RD algorithm. The ADAM show intermediate performance for all sensors. In the average result, it can be said that the accuracy of CD-PF is better than other algorithms. But it shows the worst performance in term of energy consumption and data compression ratio for all scenarios. From the results its observed that select the mechanism to determine the central point effect in three aggregation algorithms performance. For temperature and humidity sensors the best performance is in term energy consumption by applied CSRD with all methods which was below 800 uJ and the compression ratio above 90% with acceptable error. In average CS-PF show the worst performance especially with Mode method. For voltage sensor in this study, The ADAM and CS-FP with Mean /Gmean /Hmean methods showed the better performance in energy consumption below 1000 uJ, the compression ratio about 91% and acceptable error. Also CS-RD show acceptable performance which is above 85% for compression ratio which that reflect the energy consumption. The Mode method effect negatively in performance all algorithms, the worst CS-RD with Mode in term of energy consumption closes to 2500uJ. Finally, for light sensor the best performance showed by applied CS-RD algorithm with all central point methods, where the energy consumptions below 1400 uJ. The CS-PF/ADAM with Mode showed the highest energy consumptions above 4200 uJ for CS-PF and above 2400 uJ for ADAM. 2018-12 Thesis http://eprints.uthm.edu.my/456/ http://eprints.uthm.edu.my/456/1/24p%20WALA_A%20HUSSEIN%20ALI%20AL-KAMIL.pdf text en public http://eprints.uthm.edu.my/456/2/WALA_A%20HUSSEIN%20ALI%20AL-KAMIL%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/456/3/WALA_A%20HUSSEIN%20ALI%20AL-KAMIL%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TJ210.2-211.47 Mechanical devices and figures Automata Ingenious mechanisms Robots (General)
spellingShingle	TJ210.2-211.47 Mechanical devices and figures Automata Ingenious mechanisms Robots (General) Ali, Wala'a Hussein Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster
description	In wireless sensor networks, data aggregation algorithms are used to extend the network lifetime Size of data transmission from the cluster head node to base station show a critical role in CH nodes energy consumption. In this project three different data aggregation algorithms coding schemes based relative difference (CS-RD), an adaptive method of data aggregation that exploits the spatial correlation between the sensor nodes (ADAM) and coding schemes based the factor of precision (CS-FP) are evaluated. The compared three algorithms are implemented on 15 different scenarios. The algorithms applied separately with (1) Mean (2) Median (3) Mode (4) Geometric mean (5) Harmonic mean. Each scenario applied separately for various sensors temperature, humidity, light and voltage. The performance metrics studied are energy consumption, average of absolute error and data compression ratio. The simulation results show that the best performance is shown by the CS-RD algorithm. The ADAM show intermediate performance for all sensors. In the average result, it can be said that the accuracy of CD-PF is better than other algorithms. But it shows the worst performance in term of energy consumption and data compression ratio for all scenarios. From the results its observed that select the mechanism to determine the central point effect in three aggregation algorithms performance. For temperature and humidity sensors the best performance is in term energy consumption by applied CSRD with all methods which was below 800 uJ and the compression ratio above 90% with acceptable error. In average CS-PF show the worst performance especially with Mode method. For voltage sensor in this study, The ADAM and CS-FP with Mean /Gmean /Hmean methods showed the better performance in energy consumption below 1000 uJ, the compression ratio about 91% and acceptable error. Also CS-RD show acceptable performance which is above 85% for compression ratio which that reflect the energy consumption. The Mode method effect negatively in performance all algorithms, the worst CS-RD with Mode in term of energy consumption closes to 2500uJ. Finally, for light sensor the best performance showed by applied CS-RD algorithm with all central point methods, where the energy consumptions below 1400 uJ. The CS-PF/ADAM with Mode showed the highest energy consumptions above 4200 uJ for CS-PF and above 2400 uJ for ADAM.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ali, Wala'a Hussein
author_facet	Ali, Wala'a Hussein
author_sort	Ali, Wala'a Hussein
title	Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster
title_short	Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster
title_full	Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster
title_fullStr	Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster
title_full_unstemmed	Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster
title_sort	performance evaluation of different data aggregation algorithms for different types of sensors in wsn based cluster
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Electrical and Electronic Engineering
publishDate	2018
url	http://eprints.uthm.edu.my/456/1/24p%20WALA_A%20HUSSEIN%20ALI%20AL-KAMIL.pdf http://eprints.uthm.edu.my/456/2/WALA_A%20HUSSEIN%20ALI%20AL-KAMIL%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/456/3/WALA_A%20HUSSEIN%20ALI%20AL-KAMIL%20WATERMARK.pdf
_version_	1747830614564798464

Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster

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