Hybrid IEEE 802.15.6 Wireless Body Area Networks Interference Mitigation Model for High Mobility Interference Scenarios
- 1 School of Computing and Information Technology, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
- 2 School of Computing and Information Technology, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
- 3 School of Computing and Information Technology, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
Abstract
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 miti gation 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.
- Akyildiz, I. and Kasimoglu, I. (2004) Wireless Sensor and Actor Networks: Research Challenges. Ad Hoc Networks, 2, 351-367. https://doi.org/10.1016/j.adhoc.2004.04.003
- IEEE STANDARD (2015) IEEE 802.15.4-2015 - IEEE Standard for Low-Rate Wireless Networks.
- Ghamari, M., Janko, B., Sherratt, R. S., Harwin, W., Piechockic, R. and Soltanpur, C. (2016) A Survey on Wireless Body Area Networks for Ehealthcare Systems in Residential Environments. Sensors, 16, 831. https://doi.org/10.3390/s16060831
- IEEE Standard (2012) IEEE Standard for Local and Metropolitan Area Networks - Part 15.6: Wireless Body Area Networks, 1-271.
- Yang, G.-Z. (2006) Body Sensor Networks. Springer-Verlag London Limited. https://doi.org/10.1007/1-84628-484-8
- Varga, A. (1999) Using the OMNeT++ Discrete Event Simulation System in Education. IEEE Transactions on Education, 42, 11 p. https://doi.org/10.1109/13.804564
- Nabi, M., Geilen, M. and Basten, T. (2011) MoBAN: A Configurable Mobility Model for Wireless Body Area Networks. Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 168-177. https://doi.org/10.4108/icst.simutools.2011.245511
- Shakir, M., Rehman, O.U., Rahim, M., Alrajeh, N., Khan, Z.A., Khan, M. and Javaid, N. (2016) Performance Optimization of Priority Assisted CSMA/CA Mechanism of 802.15. 6 under Saturation Regime. Sensors, 16, 1421. https://doi.org/10.3390/s16091421
- Lewis, D. (2010) IEEE p802. 15.6/d0 Draft Standard for Body Area Network (Vol. 6). 15-10-0245-06.
- IEEE Draft (2010) IEEE p802.15.6/d0 Draft Standard for Body Area Network.
- Zhen, B., Patel, M., Lee, S., Won, E. and Astrin, A. (2008) TG6 Technical Requirements Document (TRD). IEEE P802, 15-08.
- Zhang, A., Smith, D., Miniutti, D., Hanlen, L., Rodda, D. and Gilbert, B. (2010) Performance of Piconet Co-Existence Schemes in Wireless Body Area Networks. IEEE Wireless Communications and Networking Conference (WCNC), 1-6. https://doi.org/10.1109/WCNC.2010.5506746
- Hanlen, L., Miniutti, D., Smith, B., Rodda, D. and Gilbert, B. (2010) 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. IJWIN, 17, 113-125. https://doi.org/10.1007/s10776-010-0123-z