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Volume 46 Issue 4
Apr.  2024
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ZHANG Zheng, YI Chen, LIN Jinzhao, PANG Yu, LI Guoquan, LI Zhangyong, LI Chunguo. Resource Scheduling Based on Multi-factor Priority for High Performance Requirements in Wireless Body Area Network[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1247-1256. doi: 10.11999/JEIT230733
Citation: ZHANG Zheng, YI Chen, LIN Jinzhao, PANG Yu, LI Guoquan, LI Zhangyong, LI Chunguo. Resource Scheduling Based on Multi-factor Priority for High Performance Requirements in Wireless Body Area Network[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1247-1256. doi: 10.11999/JEIT230733

Resource Scheduling Based on Multi-factor Priority for High Performance Requirements in Wireless Body Area Network

doi: 10.11999/JEIT230733
Funds:  The National Natural Science Foundation of China (U21A20447), The Science and Technology Research Program of Chongqing Municipal Education Commission under Grant (KJQN202200627), The Innovative Talent Program for Doctoral Students of Chongqing University of Posts and Telecommunications (BYJS202206)
  • Received Date: 2023-07-19
  • Rev Recd Date: 2024-01-23
  • Available Online: 2024-02-19
  • Publish Date: 2024-04-24
  • Media Access Control (MAC) plays a pivotal role in ensuring proper operation of Wireless Body Area Networks (WBAN). However, current solutions still cannot satisfy high performance requirements of low latency and energy consumption for emergency data reporting. A Multi-factor Emergency Scheduling Scheme (MESS) is proposed to meeting such a strict demand. First, a data classification method is designed to sort data as periodic data and emergency data, respectively. Unlike consistent data characteristics in other schemes, data heterogeneity is considered in our solution, which is more practical for different nodes. Second, a multi-factor priority division scheme is devised, according to the disease-related factor, critical degree factor, health severity factor and age of information factor. This is a more comprehensive consideration of the key characteristics of the node. In addition, a dynamic slot allocation and sequencing approach is designed, in which time slots of nodes are allocated based on the data classification and multi-factor priority-based ordering. This enhances low latency and guarantees energy efficiency of nodes. Theoretical and simulation results demonstrate the advantages of MESS in terms of delay and energy efficiency.
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  • [1]
    JAVADPOUR A, SANGAIAH A K, JA'FARI F, et al. Toward a secure industrial wireless body area network focusing MAC layer protocols: An analytical review[J]. IEEE Transactions on Industrial Informatics, 2023, 19(2): 2028–2038. doi: 10.1109/TII.2022.3205361.
    [2]
    HU Juncheng, XU Gaochao, HU Liang, et al. An adaptive energy efficient MAC protocol for RF energy harvesting WBANs[J]. IEEE Transactions on Communications, 2023, 71(1): 473–484. doi: 10.1109/TCOMM.2022.3222872.
    [3]
    KANG T, OH K I, LEE J J, et al. Spiking neural networks-inspired signal detection based on measured body channel response[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 2512816. doi: 10.1109/TIM.2022.3187719.
    [4]
    FAN Ling, LIU Xuxun, ZHOU Huan, et al. Efficient resource scheduling for interference alleviation in dynamic coexisting WBANs[J]. IEEE Transactions on Mobile Computing, 2023, 22(3): 1479–1490. doi: 10.1109/TMC.2021.3110235.
    [5]
    ZHAO Guichuan, JIANG Qi, LIU Ximeng, et al. Electrocardiogram based group device pairing for wearables[J]. IEEE Transactions on Mobile Computing, 2023, 22(11): 6394–6409. doi: 10.1109/TMC.2022.3200104.
    [6]
    ZHANG Rongrong, YU Jihong, GUAN Yong, et al. A dominating set-based sleep scheduling in energy harvesting WBANs[J]. IEEE Transactions on Vehicular Technology, 2021, 70(11): 11923–11934. doi: 10.1109/TVT.2021.3085833.
    [7]
    MOULIK S, MISRA S, and DAS D. AT-MAC: Adaptive MAC-frame payload tuning for reliable communication in wireless body area networks[J]. IEEE Transactions on Mobile Computing, 2017, 16(6): 1516–1529. doi: 10.1109/TMC.2016.2598166.
    [8]
    LIU Dong, WANG Jingjing, JIANG Chunxiao, et al. A contention-oriented node sleeping MAC protocol for WBAN[C]. 2018 IEEE Wireless Communications and Networking Conference, Barcelona, Spain, 2018: 1–6. doi: 10.1109/WCNC.2018.8377149.
    [9]
    DEEPAK K S and BABU A V. Improving reliability of emergency data frame transmission in IEEE 802.15. 6 wireless body area networks[J]. IEEE Systems Journal, 2018, 12(3): 2082–2093. doi: 10.1109/JSYST.2017.2717189.
    [10]
    ZHANG Rongrong, MOUNGLA H, YU Jihong, et al. Medium access for concurrent traffic in wireless body area networks: Protocol design and analysis[J]. IEEE Transactions on Vehicular Technology, 2017, 66(3): 2586–2599. doi: 10.1109/TVT.2016.2573718.
    [11]
    RASHWAND S, MIŠIĆ J, and MIŠIĆ V B. Analysis of CSMA/CA mechanism of IEEE 802.15. 6 under non-saturation regime[J]. IEEE Transactions on Parallel and Distributed Systems, 2016, 27(5): 1279–1288. doi: 10.1109/TPDS.2015.2447528.
    [12]
    MISRA S, MOULIK S, and CHAO H C. A cooperative bargaining solution for priority-based data-rate tuning in a wireless body area network[J]. IEEE Transactions on Wireless Communications, 2015, 14(5): 2769–2777. doi: 10.1109/TWC.2015.2393303.
    [13]
    LIANG Baowen, OBAIDAT M S, LIU Xuxun, et al. Resource scheduling based on priority ladders for multiple performance requirements in wireless body area networks[J]. IEEE Transactions on Vehicular Technology, 2021, 70(7): 7027–7036. doi: 10.1109/TVT.2021.3080596.
    [14]
    SALAYMA M, AL-DUBAI A, ROMDHANI I, et al. Reliability and energy efficiency enhancement for emergency-aware wireless body area networks (WBANs)[J]. IEEE Transactions on Green Communications and Networking, 2018, 2(3): 804–816. doi: 10.1109/TGCN.2018.2813060.
    [15]
    SUN Gang, WANG Kai, YU Hongfang, et al. Priority-based medium access control for wireless body area networks with high-performance design[J]. IEEE Internet of Things Journal, 2019, 6(3): 5363–5375. doi: 10.1109/JIOT.2019.2900661.
    [16]
    LIANG Baowen, LIU Xuxun, ZHOU Huan, et al. Channel resource scheduling for stringent demand of emergency data transmission in WBANs[J]. IEEE Transactions on Wireless Communications, 2021, 20(4): 2341–2352. doi: 10.1109/TWC.2020.3041471.
    [17]
    RUAN Lihua, DIAS M P I, and WONG E. SmartBAN with periodic monitoring traffic: A performance study on low delay and high energy efficiency[J]. IEEE Journal of Biomedical and Health Informatics, 2018, 22(2): 471–482. doi: 10.1109/JBHI.2016.2642220.
    [18]
    LIU Bin, YAN Zhisheng, and CHEN Changwen. MAC protocol in wireless body area networks for E-health: Challenges and a context-aware design[J]. IEEE Wireless Communications, 2013, 20(4): 64–72. doi: 10.1109/MWC.2013.6590052.
    [19]
    DI FRANCO F, TACHTATZIS C, GRAHAM B, et al. Current characterisation for Ultra Low power wireless body area networks[C]. The 2010 8th Workshop on Intelligent Solutions in Embedded Systems, Heraklion, Greece, 2010: 91–96. doi: 10.1109/WISES.2010.5548422.
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