Wireless sensor networks in biomedical: Body area networks

The rapid growth in biomedical sensors, low-power circuits and wireless communications has enabled a new generation of wireless sensor networks: the body area networks. These networks are composed of tiny, cheap and low-power biomed-ical nodes, mainly dedicated for healthcare monitoring applications. The objective of these applications is to ensure a continuous monitoring of vital parameters of patients, while giving them the freedom of motion and thereby better quality of healthcare. This paper shows a comparison of body area networks to the wireless sensor networks. In particular, it shows how body area networks borrow and enhance ideas from wireless sensor networks. A study of energy consumption and heat absorption problems is developed for illustration.

[1]  Daisuke Takahashi,et al.  Temperature-Aware Routing for Telemedicine Applications in Embedded Biomedical Sensor Networks , 2008, EURASIP J. Wirel. Commun. Netw..

[2]  G E Bertocci,et al.  A gait-powered autologous battery charging system for artificial organs. , 1995, ASAIO journal.

[3]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[4]  Teng-Sheng Moh,et al.  Privacy and security in biomedical applications of wireless sensor networks , 2008, 2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies.

[5]  Gabor Karsai,et al.  Smart Dust: communicating with a cubic-millimeter computer , 2001 .

[6]  G Hooker A Practical Guide to the Determination of Human Exposure to Radiofrequency Fields , 1995 .

[7]  Jian Zhang,et al.  Key-sharing via channel randomness in narrowband body area networks: is everyday movement sufficient? , 2009, BODYNETS.

[8]  Ingrid Moerman,et al.  A survey on wireless body area networks , 2011, Wirel. Networks.

[9]  James W. Stevens,et al.  Optimal design of small ΔT thermoelectric generation systems , 2001 .

[10]  Dominique Barthel,et al.  AnyBody: a self-organization protocol for body area networks , 2007, BODYNETS.

[11]  Sandeep K. S. Gupta,et al.  Communication scheduling to minimize thermal effects of implanted biosensor networks in homogeneous tissue , 2005, IEEE Transactions on Biomedical Engineering.

[12]  Joseph A. Paradiso,et al.  Energy Scavenging with Shoe-Mounted Piezoelectrics , 2001, IEEE Micro.

[13]  Melody Moh,et al.  Design and analysis of Hybrid Indirect Transmissions (HIT) for data gathering in wireless micro sensor networks , 2004, MOCO.

[14]  Nada Golmie,et al.  Prevailing over wires in healthcare environments: benefits and challenges , 2006, IEEE Communications Magazine.

[15]  Joseph A. Paradiso,et al.  Energy scavenging for mobile and wireless electronics , 2005, IEEE Pervasive Computing.

[16]  Ossama Younis,et al.  Node clustering in wireless sensor networks: recent developments and deployment challenges , 2006, IEEE Network.

[17]  Mostafa A. Bassiouni,et al.  Energy Efficient Thermal Aware Routing Algorithms for Embedded Biomedical Sensor Networks , 2006, 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[18]  Athanasios V. Vasilakos,et al.  Body Area Networks: A Survey , 2010, Mob. Networks Appl..

[19]  Ingrid Moerman,et al.  A Comprehensive Survey of Wireless Body Area Networks , 2012, Journal of Medical Systems.

[20]  Melody Moh,et al.  On data gathering protocols for in-body biomedical sensor networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[21]  Ryuji Kohno,et al.  A Body Surface Coordinator for Implanted Biosensor Networks , 2009, 2009 IEEE International Conference on Communications.