Xiaokang Hu
ABSTRACT
The interference mitigation strategy of coexisting wireless body sensor networks (WBANs) is studied in this paper. Since all WBANs work in the same frequency band, the interference from adjacent WBANs severely affects the Signal-to-Interference-plus-Noise Ratio (SINR), and the throughput is significantly reduced. To improve the quality of service that is affected by interference from adjacent WBANs, firstly, we use the graph coloring algorithm for clustering coexisting WBANs, then, we propose a time slot reallocation (TSR) algorithm to make the optimal time slot allocation for the node according to the clustering result. The simulation results show that the proposed scheme can improve packet reception rate (PRR) and throughput for coexisting WBANs.
- X. Yuan , “Dynamic Interference Analysis of Coexisting Mobile WBANs for Health Monitoring,” in 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, May, 2018, pp. 1–6.Google Scholar
Cross Ref
- F. N. Khan, R. Ahmad, W. Ahmed, M. M. Alam, and M. Drieber, “Performance Analysis of Interference and Priority aware Coexistence in IEEE 802.15.6 based WBANs,” in 2020 17th Biennial Baltic Electronics Conference (BEC), Tallinn, Estonia, Oct. 2020, pp. 1–5.Google ScholarCross Ref
- S. Movassaghi, M. Abolhasan, J. Lipman, D. Smith, and A. Jamalipour, “Wireless Body Area Networks: A Survey,” IEEE Commun. Surv. Tutorials, vol. 16, no. 3, pp. 1658–1686, 2014.Google ScholarCross Ref
- X. Yuan, J. Han, J. Pan, K. Zhang, C. Li, and Q. Ye, “2TM-MAC: A Two-Tier Multi-Channel Interference Mitigation MAC Protocol for Coexisting WBANs,” in 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, Dec. 2019, pp. 1–6.Google ScholarDigital Library
- W. Huang and T. Q. S. Quek, “Adaptive CSMA/CA MAC protocol to reduce inter-WBAN interference for wireless body area networks,” in 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN), Cambridge, MA, USA, Jun. 2015, pp. 1–6.Google ScholarCross Ref
- G.-T. Chen, W.-T. Chen, and S.-H. Shen, “2L-MAC: A MAC protocol with two-layer interference mitigation in wireless body area networks for medical applications,” in 2014 IEEE International Conference on Communications (ICC), Sydney, NSW, Jun. 2014, pp. 3523–3528.Google ScholarCross Ref
- H.-W. Tseng, Y.-B. Wang, and Y. Yang, “An Adaptive Channel Hopping and Dynamic Superframe Selection Scheme With QoS Considerations for Emergency Traffic Transmission in IEEE 802.15.6-Based Wireless Body Area Networks,” IEEE Sensors J., vol. 20, no. 7, pp. 3914–3929, Apr. 2020.Google ScholarCross Ref
- J. Park, “Bio-Inspired Approach for Inter-WBAN Coexistence,” IEEE Trans. Veh. Technol., vol. 68, no. 7, pp. 7236–7240, Jul. 2019.Google ScholarCross Ref
- F. N. Khan, R. Ahmad, W. Ahmed, M. M. Alam, and M. Drieberg, “Interference and Priority Aware Coexistence (IPC) Algorithm for Link Scheduling in IEEE 802.15.6 Based WBANs,” IEEE Access, vol. 7, pp. 168736–168751, 2019.Google Scholar
- M. Li, J. Liu, Z. Ma, C. Yuan, and B. Yuan, “Throughput optimization with fairness consideration for coexisting WBANs,” in 2015 IEEE International Conference on Communications (ICC), London, Jun. 2015, pp. 6418–6423.Google ScholarCross Ref
- L. Wang, C. Goursaud, N. Nikaein, L. Cottatellucci, and J.-M. Gorce, “Cooperative Scheduling for Coexisting Body Area Networks,” IEEE Trans. Wireless Commun., vol. 12, no. 1, pp. 123–133, Jan. 2013.Google ScholarCross Ref
- S. H. Cheng and C. Y. Huang, “Coloring-Based Inter-WBAN Scheduling for Mobile Wireless Body Area Networks,” IEEE Trans. Parallel Distrib. Syst., vol. 24, no. 2, pp. 250–259, Feb. 2013.Google ScholarDigital Library
- K.-J. Wu, Y.-W. P. Hong, and J.-P. Sheu, “Coloring-Based Channel Allocation for Multiple Coexisting Wireless Body Area Networks: A Game-Theoretic Approach,” IEEE Trans. on Mobile Comput., pp. 1–1, 2020.Google ScholarCross Ref
- S. Movassaghi, M. Abolhasan, and D. Smith, “Cooperative scheduling with graph coloring for interference mitigation in wireless body area networks,” in 2014 IEEE Wireless Communications and Networking Conference (WCNC), Apr. 2014, pp. 1691–1696.Google ScholarCross Ref
- Munkres J. Algorithms for the assignment and transportation problems [J]. SIAM. J, 1962, 10.Google Scholar
- S. Movassaghi, A. Jamalipour, D. Smith, and M. Abolhasan, “Enabling interference-aware and energy-efficient coexistence of multiple wireless body area networks with unknown dynamics,” vol. 4, p. 17, 2016.Google ScholarCross Ref
Index Terms
- Maximizing Throughput for Coexisting Wireless Body: Sensor Networks (WBANs) Based on Clustering
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