SEA-BAN: Semi-autonomous adaptive routing in wireless body area networks

Ul Huque, MTI; Munasinghe, KS; Abolhasan, M; Jamalipour, A

SEA-BAN: Semi-autonomous adaptive routing in wireless body area networks

Ul Huque, MTI Munasinghe, KS Abolhasan, M

Jamalipour, A

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Publication Type:: Conference Proceeding
Citation:: 2013, 7th International Conference on Signal Processing and Communication Systems, ICSPCS 2013 - Proceedings, 2013
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Ul Huque, MTI	en_US
dc.contributor.author	Munasinghe, KS	en_US
dc.contributor.author	Abolhasan, M https://orcid.org/0000-0002-4282-6666	en_US
dc.contributor.author	Jamalipour, A	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	2013, 7th International Conference on Signal Processing and Communication Systems, ICSPCS 2013 - Proceedings, 2013	en_US
dc.identifier.isbn	9781479913190	en_US
dc.identifier.uri	http://hdl.handle.net/10453/28458
dc.description.abstract	Wireless Body Area Network (WBAN), an intelligent health monitoring system, is introduced advanced and integrated applications in the field of medical, fitness, sports, entertainment, military and consumer electronics. In WBAN, due to the limitation in the availability of energy supply, network longevity is a major challenge. Since 80% of total energy is consumed only because of communication purpose in WBAN, routing protocols play a key role towards making such networks energy efficient. In this paper, we propose an energy efficient cluster-based routing protocol for WBANs, named as semiautonomous adaptive routing in wireless body area network (SEA-BAN). SEA-BAN distributes the energy dissipation evenly among the body nodes and enhances the network lifetime. It is not simply a cluster-based routing protocol; it also combines the benefits of direct transmission and multi-hop transmission methods, depending on the energy level and spatial information of the body nodes, to formalize an adaptive routing. Moreover, its centralized operation reduces the computational burden of body nodes. The comparative analysis of our simulation results show that SEA-BAN enhances the network lifetime by more than 2 times when compared to the multi-hop transmission model and about 8.5 times than the direct transmission model. © 2013 IEEE.	en_US
dc.relation.ispartof	2013, 7th International Conference on Signal Processing and Communication Systems, ICSPCS 2013 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICSPCS.2013.6723925	en_US
dc.title	SEA-BAN: Semi-autonomous adaptive routing in wireless body area networks	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Wireless Body Area Network (WBAN), an intelligent health monitoring system, is introduced advanced and integrated applications in the field of medical, fitness, sports, entertainment, military and consumer electronics. In WBAN, due to the limitation in the availability of energy supply, network longevity is a major challenge. Since 80% of total energy is consumed only because of communication purpose in WBAN, routing protocols play a key role towards making such networks energy efficient. In this paper, we propose an energy efficient cluster-based routing protocol for WBANs, named as semiautonomous adaptive routing in wireless body area network (SEA-BAN). SEA-BAN distributes the energy dissipation evenly among the body nodes and enhances the network lifetime. It is not simply a cluster-based routing protocol; it also combines the benefits of direct transmission and multi-hop transmission methods, depending on the energy level and spatial information of the body nodes, to formalize an adaptive routing. Moreover, its centralized operation reduces the computational burden of body nodes. The comparative analysis of our simulation results show that SEA-BAN enhances the network lifetime by more than 2 times when compared to the multi-hop transmission model and about 8.5 times than the direct transmission model. © 2013 IEEE.

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http://hdl.handle.net/10453/28458