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Wireless Networks

Erschienen in:

14.09.2016

MC-MAC: a multi-channel based MAC scheme for interference mitigation in WBANs

verfasst von: Changle Li, Beibei Zhang, Xiaoming Yuan, Sana Ullah, Athanasios V. Vasilakos

Erschienen in: Wireless Networks | Ausgabe 3/2018

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Abstract

Wireless body area networks (WBANs) support the inter-operability of biomedical sensors and medical institutions with convenience and high-efficiency, which makes it an appropriate solution for the pervasive healthcare. Typically, WBANs comprise in-body or around-body sensor nodes for collecting data of physiological feature. Therefore, the efficient medium access control (MAC) protocol is a crucial paramount to coordinate these devices and forward data to the medical center in an efficient and reliable way. However, the extensive use of wireless channel and coexistence of WBANs may result in inevitable interference which will cause performance degradation. Besides, contention-based access in single channel in WBANs is less efficient for dense medical traffic on account of large packet delay, energy consumption and low priority starvation. To address these issues above, we propose a multi-channel MAC (MC-MAC) scheme to obtain better network performance. Considering the characteristic and emergency degree of medical traffic, we introduce a novel channel mapping and selection mechanism, cooperating with conflict avoidance strategy, to organize nodes to access available channels without collisions. In addition, we have evaluated the performance of MC-MAC and the standard IEEE 802.15.6 via simulation and hardware test. The test is conducted by hardware platform based on prototype system of WBANs. Both of the analysis and simulation results show that MC-MAC outperforms the IEEE 802.15.6 in terms of packet delay, throughput, packet error rate and frame error rate.

Vorheriger Artikel Bandwidth efficient transceiver design for differentially encoded OFDM system

Nächster Artikel REBTAM: reliable energy balance traffic aware data reporting algorithm for object tracking in multi-sink wireless sensor networks

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Cao, J., & Liu, X. (2016). Requirements, challenges, and summary of hardware and software design for a WSN-Based SHM system. In Wireless sensor networks for structural health monitoring (pp. 7–11). Springer International Publishing.

Alemdar, H., & Ersoy, C. (2010). Wireless sensor networks for healthcare: A survey. Computer Networks, 54(15), 2688–2710.CrossRef

Yang, G. Z., & Yacoub, M. (2006). Body sensor networks. Dordrecht: Springer.CrossRef

Fortino, G., Di Fatta, G., Pathan, M., & Vasilakos, A. V. (2014). Cloud-assisted body area networks: State-of-the-art and future challenges. Wireless Networks, 20(7), 1925–1938.CrossRef

Zhang, Z., Wang, H., Vasilakos, A. V., & Fang, H. (2012). ECG-cryptography and authentication in body area networks. IEEE Transactions on Information Technology in Biomedicine, 16(6), 1070–1078.CrossRef

Yuce, M. R., Ng, P. C., & Khan, J. Y. (2008). Monitoring of physiological parameters from multiple patients using wireless sensor network. Journal of Medical Systems, 32(5), 433–441.CrossRef

Boquete, L., Ascariz, J. M. R., Cantos, J., Barea, R., Miguel, J. M., Ortega, S., et al. (2012). A portable wireless biometric multi-channel system. Measurement, 45(6), 1587–1598.CrossRef

IEEE Standards Association. (2012). IEEE standard for local and metropolitan area networks-part 15.6: Wireless body area networks. IEEE Standard for Information Technology, IEEE, 802(6), 1–271.

Kim, S. H., Kim, D. W., & Suh, Y. J. (2013). A survey and comparison of multichannel protocols for performance anomaly mitigation in IEEE 802.11 wireless networks. International Journal of Communication Systems, 26(10), 1288–1307.

10.

Khan, J. Y., Yuce, M. R., Bulger, G., & Harding, B. (2012). Wireless body area network (WBAN) design techniques and performance evaluation. Journal of Medical Systems, 36(3), 1441–1457.CrossRef

11.

Rashwand, S., & Mišić, J. (2012). Effects of access phases lengths on performance of IEEE 802.15. 6 CSMA/CA. Computer Networks, 56(12), 2832–2846.CrossRef

12.

Zhou, G., Huang, C., Yan, T., He, T., Stankovic, J. A., & Abdelzaher, T. F. (2006). MMSN: Multi-frequency media access control for wireless sensor networks. In 25th IEEE International Conference on Computer Communications.

13.

Istepanian, R., Laxminarayan, S., & Pattichis, C. S. (2006). M-health. Springer Science + Business Media, Incorporated.

14.

Zhou, J., Cao, Z., Dong, X., Xiong, N., & Vasilakos, A. V. (2015). 4S: A secure and privacy-preserving key management scheme for cloud-assisted wireless body area network in m-healthcare social networks. Information Sciences, 314, 255–276.CrossRef

15.

He, D., Chen, C., Chan, S., Bu, J., & Vasilakos, A. V. (2012). ReTrust: Attack-resistant and lightweight trust management for medical sensor networks. IEEE Transactions on Information Technology in Biomedicine, 16(4), 623–632.CrossRef

16.

Cook, D. J., Augusto, J. C., & Jakkula, V. R. (2009). Ambient intelligence: Technologies, applications, and opportunities. Pervasive and Mobile Computing, 5(4), 277–298.CrossRef

17.

Alrajeh, N., Biglieri, E., Bounabat, B., & Lozano, A. (2011). A smartphone-based healthcare monitoring system-PHY challenges and behavioral aspects. In Wireless mobile communication and healthcare (MobiHealth) (pp. 127–134). Berlin, Heidelberg: Springer.

18.

Jo, M., Han, L., Tan, N. D., & In, H. P. (2015). A survey: Energy exhausting attacks in MAC protocols in WBANs. Telecommunication Systems, 58(2), 153–164.CrossRef

19.

Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., & Leung, V. C. (2011). Body area networks: A survey. Mobile Networks and Applications, 16(2), 171–193.CrossRef

20.

Chen, G. T., Chen, W. T., & Shen, S. H. (2014, June). 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) (pp. 3523–3528). IEEE.

21.

Han, C., Dianati, M., Tafazolli, R., Liu, X., & Shen, X. (2012). A novel distributed asynchronous multichannel MAC scheme for large-scale vehicular ad hoc networks. IEEE Transactions on Vehicular Technology, 61(7), 3125–3138.CrossRef

22.

Almotairi, K. H., & Shen, X. S. (2015). A distributed multi-channel MAC protocol for ad hoc wireless networks. IEEE Transactions on Mobile Computing, 14(1), 1–13.CrossRef

23.

Bahl, P., Chandra, R., & Dunagan, J. (2004, September). SSCH: Slotted seeded channel hopping for capacity improvement in IEEE 802.11 ad-hoc wireless networks. In 10th annual international conference on mobile computing and networking (MOBICOM 2004) (pp. 216–230). ACM.

24.

Huang, W., & Quek, T. Q. (2015, June). 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) (pp. 1–6). IEEE.

25.

Kim, B., Cho, J., Kim, D. Y., & Lee, B. (2016, January). ACESS: Adaptive channel estimation and selection scheme for coexistence mitigation in WBANs. In 10th international conference on ubiquitous information management and communication (IMCOM 2016) (p. 96). ACM.

26.

Cho, K., Jin, Z., & Cho, J. (2014, January). Design and implementation of a single radio multi-channel MAC protocol on IEEE 802.15.4 for WBAN. In 8th international conference on ubiquitous information management and communication (IMCOM) (p. 15). ACM.

27.

Kirbas, I., Karahan, A., Sevin, A., & Bayilmis, C. (2013). isMAC: An adaptive and energy-efficient MAC protocol based on multi-channel communication for wireless body area networks. TIIS, 7(8), 1805–1824.CrossRef

28.

Lee, W., Rhee, S. H., Kim, Y., & Lee, H. (2009, January). An efficient multi-channel management protocol for wireless body area networks. In International conference on information networking (ICOIN 2009) (pp. 1–5). IEEE.

29.

Movassaghi, S., Abolhasan, M., & Smith, D. (2014, June). Smart spectrum allocation for interference mitigation in wireless body area networks. In 2014 IEEE international conference on communications (ICC) (pp. 5688–5693). IEEE.

30.

Wu, Y., Stankovic, J. A., He, T., & Lin, S. (2008, April). Realistic and efficient multi-channel communications in wireless sensor networks. In 27th Conference on computer communications (INFOCOM 2008) (pp. 1867–1875). IEEE.

31.

Alrajeh, N. A., Khan, S., Campbell, C. E., & Shams, B. (2013). Multi-channel framework for body area network in health monitoring. Applied Mathematics Information Sciences, 7(5), 1743.CrossRef

32.

Khan, J. Y., & Yuce, M. R. (2010). Wireless body area network (WBAN) for medical applications. In New developments in biomedical engineering (pp. 591–628). INTECH.

33.

Ullah, S., Chen, M., & Kwak, K. S. (2012). Throughput and delay analysis of IEEE 802.15. 6-based CSMA/CA protocol. Journal of Medical Systems, 36(6), 3875–3891.CrossRef

Titel: MC-MAC: a multi-channel based MAC scheme for interference mitigation in WBANs
verfasst von: Changle Li
Beibei Zhang
Xiaoming Yuan
Sana Ullah
Athanasios V. Vasilakos
Publikationsdatum: 14.09.2016
Verlag: Springer US
Erschienen in: Wireless Networks / Ausgabe 3/2018
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI: https://doi.org/10.1007/s11276-016-1366-0

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