Characterization and evaluation of creepy waves in Zigbee body area networks

With the regard to the advancement in technology, Body Area Network (BAN) is one of the increasing interests for a number of applications, such as medical-sensor networks. Designing and evaluating its characteristics is necessary as they are used to monitor vital signs of human body which has to...

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Main Authors:	Habaebi, Mohamed Hadi, Abdi, Mohamed Jama, Zyoud, Al-Hareth, Ahmed, Musse Mohamud
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK5101 Telecommunication. Including telegraphy, radio, radar, television
Online Access:	http://irep.iium.edu.my/36734/ http://irep.iium.edu.my/36734/ http://irep.iium.edu.my/36734/1/IEEExplore_creepy.pdf

id	iium-36734
recordtype	eprints
spelling	iium-367342018-06-19T08:31:42Z http://irep.iium.edu.my/36734/ Characterization and evaluation of creepy waves in Zigbee body area networks Habaebi, Mohamed Hadi Abdi, Mohamed Jama Zyoud, Al-Hareth Ahmed, Musse Mohamud TK5101 Telecommunication. Including telegraphy, radio, radar, television With the regard to the advancement in technology, Body Area Network (BAN) is one of the increasing interests for a number of applications, such as medical-sensor networks. Designing and evaluating its characteristics is necessary as they are used to monitor vital signs of human body which has to be accurate, reliable and secure. This paper reviews the main characteristics of on body communication network using Zigbee Body Area Network. Measurements of signal strength and the creepy waves of transmitted and received signals are performed. The measurements are conducted in a room environmental by performing those measurements on human body in different scenarios. Those measurements could be useful to propose a power saving scheme which reduce the power consumption and increase the sensor battery life. 2014-03-24 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/36734/1/IEEExplore_creepy.pdf Habaebi, Mohamed Hadi and Abdi, Mohamed Jama and Zyoud, Al-Hareth and Ahmed, Musse Mohamud (2014) Characterization and evaluation of creepy waves in Zigbee body area networks. In: 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014), 24-25 March 2014, Langkawi, Kedah. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6814499
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle	TK5101 Telecommunication. Including telegraphy, radio, radar, television Habaebi, Mohamed Hadi Abdi, Mohamed Jama Zyoud, Al-Hareth Ahmed, Musse Mohamud Characterization and evaluation of creepy waves in Zigbee body area networks
description	With the regard to the advancement in technology, Body Area Network (BAN) is one of the increasing interests for a number of applications, such as medical-sensor networks. Designing and evaluating its characteristics is necessary as they are used to monitor vital signs of human body which has to be accurate, reliable and secure. This paper reviews the main characteristics of on body communication network using Zigbee Body Area Network. Measurements of signal strength and the creepy waves of transmitted and received signals are performed. The measurements are conducted in a room environmental by performing those measurements on human body in different scenarios. Those measurements could be useful to propose a power saving scheme which reduce the power consumption and increase the sensor battery life.
format	Conference or Workshop Item
author	Habaebi, Mohamed Hadi Abdi, Mohamed Jama Zyoud, Al-Hareth Ahmed, Musse Mohamud
author_facet	Habaebi, Mohamed Hadi Abdi, Mohamed Jama Zyoud, Al-Hareth Ahmed, Musse Mohamud
author_sort	Habaebi, Mohamed Hadi
title	Characterization and evaluation of creepy waves in Zigbee body area networks
title_short	Characterization and evaluation of creepy waves in Zigbee body area networks
title_full	Characterization and evaluation of creepy waves in Zigbee body area networks
title_fullStr	Characterization and evaluation of creepy waves in Zigbee body area networks
title_full_unstemmed	Characterization and evaluation of creepy waves in Zigbee body area networks
title_sort	characterization and evaluation of creepy waves in zigbee body area networks
publishDate	2014
url	http://irep.iium.edu.my/36734/ http://irep.iium.edu.my/36734/ http://irep.iium.edu.my/36734/1/IEEExplore_creepy.pdf
first_indexed	2023-09-18T20:52:40Z
last_indexed	2023-09-18T20:52:40Z
_version_	1777410098505711616

Characterization and evaluation of creepy waves in Zigbee body area networks

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