An Investigation Into Relaying of Creeping Waves for Reliable Low-Power Body Sensor Networking

We investigate the use of relaying of creeping waves in the industrial scientific medical frequency bands of 434 MHz, 915 MHz, and 2.4 GHz. The investigation includes generic analysis and experimental setups. For generic analysis, a link budget model is derived based solely on the creeping wave component of the transmitted signal while marginalizing for other effects, such as reflections from the surrounding environment. Closed-form expressions of the gains in network lifetime and energy per bit are derived for a system covering the entire body using relays compared to a reference system offering the same level of reliability without relaying. The experimental setups are used to gather measurements in the 2.4-GHz band with a body sensor network development platform in a nonreflective open-space environment and in a reflective residential environment. The measurements are used to validate the link budget model and evaluate performance of practical systems. Analysis and experimentation demonstrate that relaying of creeping waves offers considerable performance gains in all frequency bands. For example, using a single relay on either side of the body in 2.4 GHz can potentially increase network-lifetime times 40 and decrease energy per bit by 48 dB. Part of this potential is achieved in experimental setups where relaying was shown to increase network lifetime times 13, decrease energy per bit by 13 dB and provide the ability to compensate for a wider fading margin.

[1]  Brian J. d'Auriol,et al.  Optimal Routing in Sensor Networks for In-home Health Monitoring with Multi-factor Considerations , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).

[2]  I. Miller Probability, Random Variables, and Stochastic Processes , 1966 .

[3]  Kok-Kiong Yap,et al.  To Hop or Not to Hop: Network Architecture for Body Sensor Networks , 2009, 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[4]  Pejman Khadivi,et al.  Using relay network to increase life time in wireless body area sensor networks , 2009, 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks & Workshops.

[5]  Ingrid Moerman,et al.  A Low-delay Protocol for Multihop Wireless Body Area Networks , 2007, 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services (MobiQuitous).

[6]  Rong Zheng,et al.  Performance analysis of power management policies in wireless networks , 2006, IEEE Transactions on Wireless Communications.

[7]  Julien Ryckaert,et al.  Channel model for wireless communication around human body , 2004 .

[8]  Giovanni De Micheli,et al.  OS-Based Sensor Node Platform and Energy Estimation Model for Health-Care Wireless Sensor Networks , 2008, 2008 Design, Automation and Test in Europe.

[9]  Özgür Erçetin,et al.  An Energy-Efficient Routing Protocol for Networks with Cooperative Transmissions , 2007, 2007 IEEE International Conference on Communications.

[10]  Sandeep K. S. Gupta,et al.  Towards a propagation model for wireless biomedical applications , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[11]  Ivan Grech,et al.  Body area network for wireless patient monitoring , 2008, IET Commun..

[12]  Pai H. Chou,et al.  Low-Complexity, High-Throughput Multiple-Access Wireless Protocol for Body Sensor Networks , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.

[13]  Nitin H. Vaidya,et al.  A MAC protocol to reduce sensor network energy consumption using a wakeup radio , 2005, IEEE Transactions on Mobile Computing.

[14]  G. Troster,et al.  UWB for noninvasive wireless body area networks: channel measurements and results , 2003, IEEE Conference on Ultra Wideband Systems and Technologies, 2003.

[15]  Bruno O. Shubert,et al.  Random variables and stochastic processes , 1979 .

[16]  Matt Welsh Exposing resource tradeoffs in region-based communication abstractions for sensor networks , 2004, CCRV.

[17]  Nitin H. Vaidya,et al.  A wakeup scheme for sensor networks: achieving balance between energy saving and end-to-end delay , 2004, Proceedings. RTAS 2004. 10th IEEE Real-Time and Embedded Technology and Applications Symposium, 2004..

[18]  W. Scanlon,et al.  Antennas for Over-Body-Surface Communication at 2.45 GHz , 2009, IEEE Transactions on Antennas and Propagation.

[19]  P. Demeester,et al.  The Need for Cooperation and Relaying in Short-Range High Path Loss Sensor Networks , 2007, 2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007).

[20]  Sandeep K. S. Gupta,et al.  Energy-efficient protocols for wireless communication in biosensor networks , 2001, 12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598).

[21]  Simon L. Cotton,et al.  An experimental investigation into the influence of user state and environment on fading characteristics in wireless body area networks at 2.45 GHz , 2009, IEEE Transactions on Wireless Communications.

[22]  Thomas Falck,et al.  BASUMA - the sixth sense for chronically ill patients , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[23]  Sandeep K. S. Gupta,et al.  Research challenges in wireless networks of biomedical sensors , 2001, MobiCom '01.

[24]  Weng-Fai Wong,et al.  Fast and accurate simulation of biomonitoring applications on a wireless body area network , 2008, 2008 5th International Summer School and Symposium on Medical Devices and Biosensors.

[25]  Paolo Fiorini,et al.  Human++: Emerging Technology for Body Area Networks , 2006, 2006 IFIP International Conference on Very Large Scale Integration.

[26]  Gill R. Tsouri,et al.  Low-Power Body Sensor Network for Wireless ECG Based on Relaying of Creeping Waves at 2.4GHz , 2010, 2010 International Conference on Body Sensor Networks.

[27]  Attahiru Sule Alfa,et al.  QoS and energy trade off in distributed energy-limited mesh/relay networks: a queuing analysis , 2006, IEEE Transactions on Parallel and Distributed Systems.

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

[29]  T.S.P. See,et al.  Experimental Characterization of UWB Antennas for On-Body Communications , 2009, IEEE Transactions on Antennas and Propagation.

[30]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..