Performance evaluation of direct and cooperative transmissions in body area networks

Body area networks (BAN) offer amazing perspectives to instrument and support humans in many aspects of their life. Among all possible applications, this paper focuses on body monitoring applications having a body equipped with a set of sensors transmitting in real time their measures to a common sink. In this context, at the application level, the network fits with a star topology, which is quite usual in the broad scope of wireless networks. Unfortunately, the structure of the network at the physical layer is totally different. Indeed, due to the specificity of BAN radio channel features, all radio links are not stationary and all sensors suffer from link losses during independent time frames. In wireless networks, link losses are often coped with multi-hop transmission schemes to ensure a good connectivity. However, since the radio links are not stationary, the multi-hop routes should adapt quickly to BAN changes. We instead propose in this work a different approach based on opportunistic relaying. The concept relies on electing some sensors to support the transmission of other ones having a worst connection. Instead of changing the relay time to time, we rather select a relay node from a statistical perspective. We evaluate this approach from a theoretical point of view and on realistic simulations using the packet error rate outage probability as a performance criterion.

[1]  A. Fort,et al.  An ultra-wideband body area propagation channel Model-from statistics to implementation , 2006, IEEE Transactions on Microwave Theory and Techniques.

[2]  Yang Hao,et al.  UWB on-body radio channel modeling using ray theory and subband FDTD method , 2006, IEEE Transactions on Microwave Theory and Techniques.

[3]  Katia Jaffrès-Runser,et al.  Energy-delay bounds analysis in wireless multi-hop networks with unreliable radio links , 2008, ArXiv.

[4]  Jean-Marie Gorce,et al.  Symbol Error Outage Analysis of MIMO OSTBC Systems over Rice Fading Channels in Shadowing Environments , 2011, IEEE Transactions on Wireless Communications.

[5]  Jun-ichi Takada,et al.  Characterization and modeling of dynamic on-body propagation , 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare.

[6]  Raffaele D'Errico,et al.  Evaluating a TDMA MAC for body area networks using a space-time dependent channel model , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[7]  Simon L. Cotton,et al.  A Statistical Analysis of Indoor Multipath Fading for a Narrowband Wireless Body Area Network , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[8]  Raffaele D'Errico,et al.  Opportunistic relaying protocols for human monitoring in BAN , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  V. Georgiev Using Game Theory to Analyze Wireless Ad Hoc Networks . ” , 2008 .

[10]  H. Vincent Poor,et al.  Radio Resource Management for Green Wireless Networks , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[11]  Andres Kwasinski,et al.  Cooperative Communications and Networking , 2009 .

[12]  Katia Jaffrès-Runser,et al.  Low Bound of Energy-Latency Trade-Off of Opportunistic Routing in Multi-Hop Networks , 2009, 2009 IEEE International Conference on Communications.

[13]  C. Parini,et al.  Antennas and propagation for on-body communication systems , 2007, IEEE Antennas and Propagation Magazine.

[14]  W.G. Scanlon,et al.  A Time-Domain Approach to the Analysis and Modeling of On-Body Propagation Characteristics Using Synchronized Measurements at 2.45 GHz , 2009, IEEE Transactions on Antennas and Propagation.

[15]  Lu Yan,et al.  Cooperative packet relaying model for wireless ad hoc networks , 2008, FOWANC '08.

[16]  Mark T. Jones,et al.  Modeling a wearable full-body motion capture system , 2005, Ninth IEEE International Symposium on Wearable Computers (ISWC'05).

[17]  Jean-Marie Gorce,et al.  Cooperation mechanisms in BANs , 2009 .

[18]  Eitan Altman,et al.  Coverage and connectivity of ad hoc networks presence of channel randomness , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[19]  L. Ouvry,et al.  Synergetic MAC and higher layers functionalities for UWB LDR-LT wireless networks , 2008, 2008 IEEE International Conference on Ultra-Wideband.

[20]  Raffaele D'Errico,et al.  Time-variant BAN channel characterization , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.