Behavior-aware probabilistic routing for wireless body area sensor networks

Recent advances in wireless communication and electronic manufacture have enabled a variety of sensors to be used for Wireless Body Area Networks (WBANs), which can provide real-time body monitoring and feedback for enabling patient diagnostics procedure, rehabilitation, sports training and interactive performance. However, existing single-hop wireless communication scheme faces several major challenges: rapid growth of channel conflicts as more sensors added, impermeability of human body to radio waves and highly dynamic network topology due to human movements. In this paper, a prototype of multi-hop WBAN has been built to quantify the channel conflict and to characterise the network connectivity during human motions. A probability based routing protocol fusing inertial sensor data and history link quality is then developed, which aims at capturing the high spatio-temporal change of network topology on the selection of a reliable relay node in WBAN routing. The performance of the protocol is experimentally evaluated on our prototype system. Compared with a number of existing routings, the proposed scheme is more splendid in terms of average delivery ratio, number of hops and end-to-end delay.

[1]  Brendan O'Flynn,et al.  Celeritas: wearable wireless system , 2007, NIME '07.

[2]  Emil C. Lupu,et al.  A lightweight policy system for body sensor networks , 2009, IEEE Transactions on Network and Service Management.

[3]  Subir Biswas,et al.  Probabilistic routing in on-body sensor networks with postural disconnections , 2009, MobiWAC '09.

[4]  Guang-Zhong Yang,et al.  Swimming Stroke Kinematic Analysis with BSN , 2010, 2010 International Conference on Body Sensor Networks.

[5]  J.A. Paradiso,et al.  A Compact, High-Speed, Wearable Sensor Network for Biomotion Capture and Interactive Media , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[6]  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).

[7]  Subir Biswas,et al.  DTN routing in body sensor networks with dynamic postural partitioning , 2010, Ad Hoc Networks.

[8]  K. Psounis,et al.  Efficient Routing in Intermittently Connected Mobile Networks: The Single-Copy Case , 2008, IEEE/ACM Transactions on Networking.

[9]  Martin Eriksson,et al.  A Wireless, Unobtrusive Kayak Sensor Network Enabling Feedback Solutions , 2010, 2010 International Conference on Body Sensor Networks.

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

[11]  Kok-Kiong Yap,et al.  Link layer behavior of body area networks at 2.4 GHz , 2009, MobiCom '09.

[12]  Lionel M. Ni,et al.  Probabilistic Approach to Provisioning Guaranteed QoS for Distributed Event Detection , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[13]  Weihua Zhuang,et al.  Exploiting prediction to enable Secure and Reliable routing in Wireless Body Area Networks , 2012, 2012 Proceedings IEEE INFOCOM.

[14]  Xiaoyang Liu,et al.  GRAP: Grey risk assessment based on projection in ad hoc networks , 2011, J. Parallel Distributed Comput..

[15]  Linghe Kong,et al.  Poster: behavior-aware probabilistic routing for wireless body area sensor networks , 2013, 2013 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

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

[17]  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.

[18]  Hassan Ghasemzadeh,et al.  Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing , 2009, BODYNETS.