Distributed scheme for interference mitigation of coexisting WBANs using Latin rectangles

The performance of wireless body area networks (WBANs) may be degraded due to co-channel interference, i.e., when sensors of different coexisting WBANs transmit at the same time-slots using the same channel. In this paper, we exploit the 16 channels available in the 2.4 GHz unlicensed international band of ZIGBEE, and propose a distributed scheme that opts to avoid interference through channel to time-slot hopping based on Latin rectangles, DAIL. In DAIL, each WBAN's coordinator picks a Latin rectangle whose rows are ZIGBEE channels and colunms are time-slots of its superframe. Subsequently, it assigns a unique symbol to each sensor; this latter forms a transmission pattern according to distinct positions of its symbol in the rectangle, such that collisions among different transnnssions of coexisting WBANs are minimized. We further present an analytical model that derives bounds on the collision probability of each sensor's transmission in the network. In addition, the efficiency of DAIL in interference mitigation has been validated by simulations.

[1]  Victor O. K. Li,et al.  TDMA scheduling design of multihop packet radio networks based on latin squares , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[2]  Chang Wen Chen,et al.  Bayesian game based power control scheme for inter-WBAN interference mitigation , 2014, 2014 IEEE Global Communications Conference.

[3]  Wen-Tsuen Chen,et al.  2L-MAC: A MAC protocol with two-layer interference mitigation in wireless body area networks for medical applications , 2014, 2014 IEEE International Conference on Communications (ICC).

[4]  Ahmed Mehaoua,et al.  Interference avoidance algorithm (IAA) for multi-hop wireless body area network communication , 2015, 2015 17th International Conference on E-health Networking, Application & Services (HealthCom).

[5]  Doo Seop Eom,et al.  A Beacon Interval Shifting Scheme for Interference Mitigation in Body Area Networks , 2012, Sensors.

[6]  Abbas Jamalipour,et al.  Exploiting Unknown Dynamics in Communications Amongst Coexisting Wireless Body Area Networks , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[7]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[8]  Abbas Jamalipour,et al.  AIM: Adaptive Internetwork interference mitigation amongst co-existing wireless body area networks , 2014, 2014 IEEE Global Communications Conference.

[9]  Abbas Jamalipour,et al.  Wireless Body Area Networks: A Survey , 2014, IEEE Communications Surveys & Tutorials.

[10]  David B. Smith,et al.  Joint relay selection and transmit power control for wireless body area networks coexistence , 2014, 2014 IEEE International Conference on Communications (ICC).

[11]  Samaneh Movassaghi,et al.  Smart spectrum allocation for interference mitigation in Wireless Body Area Networks , 2014, 2014 IEEE International Conference on Communications (ICC).

[12]  J. Dénes,et al.  Latin squares and their applications , 1974 .

[13]  Mi Lu,et al.  Topology-transparent time division multiple access broadcast scheduling in multihop packet radio networks , 2003, IEEE Trans. Veh. Technol..