BATMAC: An adaptive TDMA MAC for body area networks performed with a space-time dependent channel model

Wireless communications for body area network (BAN) applications require an adaptable, dynamic and flexible medium access control (MAC) to cope with a variety of application requirements. The key requirements in BAN applications are low power consumption, high reliability of intra-BAN communication and low latency. As body posture highly affects the performance of MAC protocols, we evaluate the relaying benefits to reinforce links. However, since radio links are not stationary, the scheduling of the relaying should quickly adapt to BAN changes. We instead propose a BAN Adaptive TDMA MAC (BATMAC) which automatically detects the shadowing effect and adjusts its communication protocols and the parameters of the IEEE 802.15.4 superframe. Finally, we evaluate BATMAC from latency outage and energy consumption points of view depending on the redundancy of the monitoring information.

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

[2]  Ioannis Pantazis,et al.  Tracking Human Walking Using MARG Sensors , 2005 .

[3]  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.

[4]  Jean-Marie Gorce,et al.  Performance evaluation of direct and cooperative transmissions in body area networks , 2011, Ann. des Télécommunications.

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

[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]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[8]  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.

[9]  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.

[10]  Claude Oestges,et al.  Fading correlation measurement and modeling on the front side of a human body , 2009, 2009 3rd European Conference on Antennas and Propagation.

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

[12]  Mickael Maman,et al.  Evaluating relaying scheme for BAN TDMA MAC using a space-time dependent channel model , 2010, BODYNETS.