Hybrid IEEE 802.15.6 Wireless Body Area Networks Interference Mitigation Model for High Mobility Interference Scenarios

The field of Wireless Sensor Networks (WSNs) has revolutionized tremendously in the recent past with its major application in Wireless Body Area Networks (WBANs). This has in the same dimension attracted immense interests from the researchers and technology providers. The operational modality of the WBANs is that a few sensor nodes are placed in or around the body and that they are meant to operate within a limited condition while providing high performance in terms of WBAN life time, high throughput, high data reliability, minimum or no delay and low power consumption. As most of the WBAN operates within the universal Industrial, Scientific and Medical (ISM) Narrow Band (NB) wireless band (2.4 Ghz) frequency band, this has posed a challenge in respect to inter, intra and co-channel interference especially in dense areas and high mobility scenarios. As well the body posture changes dynamically due to these mobility effects. In this paper, we propose a hybrid WBAN interference mitigation model based on Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) Contention Window (CW) approach and User Priority (UP) queues. Using Omnet++ simulation, a comparison to the IEEE 802.15.6 based WBAN protocol is presented under the standing, walking sitting and Lying postural mobility scenarios. The results show that the proposed hybrid model outperforms IEEE 802.15.6 based CSMA/CA protocol in areas of network throughput, bandwidth efficiency and network delay in these mobility postures.

[1]  Twan Basten,et al.  MoBAN: a configurable mobility model for wireless body area networks , 2011, SimuTools.

[2]  Li Yang,et al.  Performance Evaluation of IEEE 802.15.6 MAC with User Priorities for Medical Applications , 2015 .

[3]  A. Varga,et al.  Using the OMNeT++ discrete event simulation system in education , 1999 .

[4]  David B. Smith,et al.  Co-Channel Interference in Body Area Networks with Indoor Measurements at 2.4 GHz: Distance-to-Interferer is a Poor Estimate of Received Interference Power , 2010, Int. J. Wirel. Inf. Networks.

[5]  Robert Simon Sherratt,et al.  A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments , 2016, Sensors.

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

[7]  Alexandros-Apostolos A. Boulogeorgos,et al.  Comparison of CSMA/CA protocols applied in wireless body area network standards , 2016, 2016 18th Mediterranean Electrotechnical Conference (MELECON).

[8]  Ian F. Akyildiz,et al.  Wireless sensor and actor networks: research challenges , 2004, Ad Hoc Networks.

[9]  Jian Zhang,et al.  Performance of Piconet Co-Existence Schemes in Wireless Body Area Networks , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[10]  Elyes Ben Hamida,et al.  Performance evaluation of IEEE 802.15.6-based WBANs under co-channel interference , 2017, Int. J. Sens. Networks.

[11]  Sana Ullah,et al.  A Review of IEEE 802.15.6 MAC, PHY, and Security Specifications , 2013, Int. J. Distributed Sens. Networks.

[12]  Ahmed Mehaoua,et al.  Delay Analysis of IEEE 802.15.6 CSMA/CA Mechanism in Duty-Cycling WBANs , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[13]  Ryuji Kohno,et al.  Standardization for Body Area Networks , 2009, IEICE Trans. Commun..

[14]  Nadeem Javaid,et al.  Performance Optimization of Priority Assisted CSMA/CA Mechanism of 802.15.6 under Saturation Regime , 2016, Sensors.