SEA-BAN: Semi-Autonomous Adaptive Routing in Wireless Body Area Networks

被引：16

作者：

ul Huquel, Md. Tanvir Ishtaique ^{[1
]}

Munasinghe, Kumudu S. ^{[2
]}

Abolhasan, Mehran ^{[3
,4
]}

Jamalipour, Abbas ^{[1
]}

机构：

[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia

[2] Univ Canberra, Fac Educ Sci Technol & Math, Canberra, ACT 2617, Australia

[3] Univ Technol Sydney, Fac Engn, Sydney, NSW 2006, Australia

[4] Univ Technol Sydney, IT, Sydney, NSW 2006, Australia

来源：

2013 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS) | 2013年

关键词：

WBAN; cluster; routing; adaptive; energy efficiency; human body; SENSOR; PROTOCOL; DESIGN;

D O I：

10.1109/ICSPCS.2013.6723925

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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 semi-autonomous 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.

引用

页数：7

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