Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Opportunistic Spectrum Allocation for Interference Mitigation Amongst Coexisting Wireless Body Area Networks

Published: 21 July 2018 Publication History
  • Get Citation Alerts
  • Abstract

    Wireless Body Area Networks (WBANs) are seen as the enabling technology for developing new generations of medical applications, such as remote health monitoring. As such it is expected that WBANs will predominantly transport mission-critical and delay sensitive data. A key strategy towards building a reliable WBAN is to ensure such networks are highly immune to interference. To achieve this, new and intelligent wireless spectrum allocation strategies are required not only to avoid interference, but also to make best-use of the limited available spectrum. This article presents a new spectrum allocation scheme referred to as Smart Channel Assignment (SCA), which maximizes the resource usage and transmission speed by deploying a partially-orthogonal channel assignment scheme between coexisting WBANs as well as offering a convenient tradeoff among spectral reuse efficiency, transmission rate, and outage. Detailed analytical studies verify that the proposed SCA strategy is robust to variations in channel conditions, increase in sensor node-density within each WBAN, and an increase in number of coexisting WBANs.

    References

    [1]
    ABI research: Wearable computing devices, like apples iWatch, will exceed 485 million annual shipments by 2018. Retrieved from https://www.abiresearch.com/press/wearable-computing-devices-like-apples-iwatch-will.
    [2]
    IEEE Standard for Local and Metropolitan Area Networks Part 15.6: Wireless Body Area Networks. IEEE Std 802.15.6-2012.
    [3]
    Karen I. Aardal, Stan P. M. Van Hoesel, Arie M. C. A. Koster, Carlo Mannino, and Antonio Sassano. 2007. Models and solution techniques for frequency assignment problems. Ann. Operat. Res. 153, 1 (2007), 79--129.
    [4]
    Muhammad Mahtab Alam and Elyes Ben Hamida. 2015. Interference mitigation and coexistence strategies in ieee 802.15. 6 based wearable body-to-body networks. In Cognitive Radio Oriented Wireless Networks. Springer, 665--677.
    [5]
    Dhafer Ben Arbia, Muhammad Mahtab Alam, Rabah Attia, and Elyes Ben Hamida. 2015. Behavior of wireless body-to-body networks routing strategies for public protection and disaster relief. In Proceedings of the 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob’15). IEEE, 117--124.
    [6]
    Sabin Bhandari and Sangman Moh. 2015. A survey of MAC protocols for cognitive radio body area networks. Sensors 15, 4 (2015), 9189--9209.
    [7]
    S. Cheng and C. Huang. 2013. Coloring-based inter-WBAN scheduling for mobile wireless body area network. IEEE Trans. Parallel Distrib. Syst. 24, 2 (2013), 250--259.
    [8]
    Simon L. Cotton and William G. Scanlon. 2009. Channel characterization for single-and multiple-antenna wearable systems used for indoor body-to-body communications. IEEE Trans. Antenn. Propagat. 57, 4 (2009), 980--990.
    [9]
    Buddhika de Silva, Anirudh Natarajan, and Mehul Motani. 2009. Inter-user interference in body sensor networks: Preliminary investigation and an infrastructure-based solution. In Proceedings of the 6th International Workshop on Wearable and Implantable Body Sensor Networks, 2009 (BSN’09). IEEE, 35--40.
    [10]
    Jie Dong and David Smith. 2012. Cooperative body-area-communications: Enhancing coexistence without coordination between networks. In Proceedings of the 23rd IEEE International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC’12). 2269--2274.
    [11]
    Jie Dong and David Smith. 2013. Opportunistic relaying in wireless body area networks: Coexistence performance. In International Conference on Communications (ICC). IEEE, 5613--5618.
    [12]
    Andreas Eisenblätter and others. 2001. Frequency Assignment in GSM Networks: Models, Heuristics, and Lower Bounds. Cuvillier.
    [13]
    Jocelyne Elias, Stefano Paris, and Marwan Krunz. 2015a. Cross technology interference mitigation in body area networks: An optimization approach. IEEE Transactions on Vehicular Technology 64, 9 (2015), 4144--4157.
    [14]
    Jocelyne Elias, Stefano Paris, and Marwan Krunz. 2015b. Cross-technology interference mitigation in body area networks: An optimization approach. IEEE Trans. Vehic. Technol. 64, 9 (2015), 4144--4157.
    [15]
    Gengfa Fang, Eryk Dutkiewicz, Kegen Yu, Rein Vesilo, and Yiwei Yu. 2010. Distributed inter-network interference coordination for wireless body area networks. In Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM’10). 1--5.
    [16]
    Laura Marie Feeney and Viktoria Fodor. 2016. Reliability in co-located 802.15. 4 personal area networks. In Proceedings of the 6th ACM International Workshop on Pervasive Wireless Healthcare. ACM, 5--10.
    [17]
    Paolo Roberto Grassi, Vincenzo Rana, Ivan Beretta, and Donatella Sciuto. 2012. BIRS: A technique to reduce BAN-BAN interferences in wireless sensor networks. In Proceedings of the 9th International Conference on Wearable and Implantable Body Sensor Networks (BSN’12). IEEE, 46--51.
    [18]
    Yoonjeong Han, Zilong Jin, Jinsung Cho, and Tae-Seong Kim. 2014. A prediction algorithm for coexistence problem in multiple WBANs environment. In Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication. ACM.
    [19]
    Zilong Jin, Yoonjeong Han, Jinsung Cho, and Ben Lee. 2015. A prediction algorithm for coexistence problem in multiple-WBAN environment. International Journal of Distributed Sensor Networks 11, 3 (2015), 386842.
    [20]
    Norihiko Katayama, Kenichi Takizawa, Takahiro Aoyagi, Jun-ichi Takada, Li Huan-Bang, and Ryuji Kohno. 2009. Channel model on various frequency bands for wearable body area network. IEICE Trans. Commun. 92, 2 (2009), 418--424.
    [21]
    Ramtin Kazemi, Rein Vesilo, Eryk Dutkiewicz, and Gengfa Fang. 2010. Inter-network interference mitigation in wireless body area networks using power control games. In Proceedings of the 2010 International Symposium on Communications and Information Technologies (ISCIT’10). IEEE, 81--86.
    [22]
    Ramtin Kazemi, Rein Vesilo, Eryk Dutkiewicz, and Ren Liu. 2011a. Dynamic power control in wireless body area networks using reinforcement learning with approximation. In Proceedings of the 2011 IEEE 22nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC’11). IEEE, 2203--2208.
    [23]
    Ramtin Kazemi, Rein Vesilo, Eryk Dutkiewicz, and Ren Liu. 2011b. Dynamic power control in wireless body area networks using reinforcement learning with approximation. In Proceedings of the IEEE 22nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC’11). IEEE, 2203--2208.
    [24]
    Imdad Khan, Yuriy I. Nechayev, Khalida Ghanem, and Peter S. Hall. 2010. BAN-BAN interference rejection with multiple antennas at the receiver. IEEE Trans. Antenn. Propagat. 58, 3 (2010), 927--934.
    [25]
    Benoît Latré, Bart Braem, Ingrid Moerman, Chris Blondia, and Piet Demeester. 2011. A survey on wireless body area networks. Wireless Netw. 17, 1 (2011), 1--18.
    [26]
    Thien T. T. Le and Sangman Moh. 2015. Interference mitigation schemes for wireless body area sensor networks: A comparative survey. Sensors 15, 6 (2015), 13805--13838.
    [27]
    Amira Meharouech, Jocelyne Elias, Stefano Paris, and Ahmed Mehaoua. 2014. Socially-aware interference mitigation game in body-to-body networks. In Proceedings of the International Conference on NETwork Games, COntrol and OPtimization (NETGCOOP’14).
    [28]
    Samaneh Movassaghi, Mehran Abolhasan, Justin Lipman, David Smith, and Abbas Jamalipour. 2014c. Wireless body area networks: A survey. IEEE Communication Surveys Tutorials 16, 3 (March 2014), 1658--1686.
    [29]
    Samaneh Movassaghi, Mehran Abolhasan, and B. Smith David. 2014a. Cooperative scheduling with graph coloring for interference mitigation in wireless body area networks. In Proceedings of the IEEE International Conference on Communications (WCNC’14). IEEE, 1--5.
    [30]
    Samaneh Movassaghi, Mehran Abolhasan, and B. Smith David. 2014b. Smart spectrum allocation for interference mitigation in wireless body area networks. In Proceedings of the IEEE International Conference on Communications (ICC’14). IEEE, 1--5.
    [31]
    Samaneh Movassaghi, Mehran Abolhasan, B. Smith David, and Abbas Jamalipour. 2014d. AIM: Adaptive internetwork interference mitigation amongst co-existing wireless body area networks. In Proceedings of the IEEE International Globlal Communications Conference (GC’14). IEEE, 1--5.
    [32]
    S. Movassaghi, P. Arab, and M. Abolhasan. 2012. Wireless technologies for body area networks: Characteristics and challenges. In Proceedings of the 2012 International Symposium on Communications and Information Technologies (ISCIT’12). 42--47.
    [33]
    Anirudh Natarajan, Mehul Motani, Buddhika de Silva, Kok-Kiong Yap, and Kee Chaing Chua. 2007. Investigating network architectures for body sensor networks. In Proceedings of the 1st ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments. ACM, 19--24.
    [34]
    Yinyue Qiu, David Haley, Terence Chan, and Linda Davis. 2016. Game theoretic framework for studying WBAN coexistence: 2-player game analysis and n-player game estimation. In Proceedings of the 2016 Australian Communications Theory Workshop (AusCTW’16). IEEE, 53--58.
    [35]
    Deepak Kumar Rout and Susmita Das. 2014. Interference mitigation in wireless body area networks using modified and modulated mhp. Wireless Pers. Commun. 77, 2 (2014), 1343--1361.
    [36]
    David B. Smith and Leif W. Hanlen. 2015. Channel modeling for wireless body area networks. In Ultra-Low-Power Short-Range Radios. Springer International Publishing, 25--55.
    [37]
    David B. Smith, Dino Miniutti, and Leif W. Hanlen. 2011. Characterization of the body-area propagation channel for monitoring a subject sleeping. IEEE Trans. Antenn. Propagat. 59, 11 (2011), 4388--4392.
    [38]
    Wen Sun, Yu Ge, and Wai-Choong Wong. 2013. A lightweight distributed scheme for mitigating inter-user interference in body sensor networks. Comput. Netw. 57, 18 (2013), 3885--3896.
    [39]
    Sana Ullah and Kyung Sup Kwak. 2012a. An ultra low-power and traffic-adaptive medium access control protocol for wireless body area network. J. Med. Syst. 36, 3 (2012), 1021--1030.
    [40]
    Sana Ullah and Kyung Sup Kwak. 2012b. An ultra low-power and traffic-adaptive medium access control protocol for wireless body area network. J. Med. Syst. 36, 3 (June 2012), 1021--1030.
    [41]
    Lusheng Wang, Claire Goursaud, Navid Nikaein, Laura Cottatellucci, and J. Gorce. 2013. Cooperative scheduling for coexisting body area networks. IEEE Trans. Wireless Commun. 12, 1 (2013), 123--133.
    [42]
    Xuan Wang and Lin Cai. 2011. Interference analysis of co-existing wireless body area networks. In Proceedings of the Global Telecommunications Conference (GLOBECOM’11). IEEE, 1--5.
    [43]
    Zhijun Xie, Guangyan Huang, Jing He, and Yanchun Zhang. 2014. A clique-based WBAN scheduling for mobile wireless body area networks. Procedia Computer Science 31 (2014), 1092--1101.
    [44]
    Wen-Bin Yang and Kamran Sayrafian-Pour. 2011. Interference mitigation for body area networks. In Proceedings of the 2011 IEEE 22nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC). IEEE, 2193--2197.
    [45]
    Ehsan Tabatabaei Yazdi, Andreas Willig, and Krzysztof Pawlikowski. 2014. Frequency adaptation for interference mitigation in IEEE 802.15. 4-based mobile body sensor networks. Computer Communications 53 (2014), 102--119.
    [46]
    Zhaoyang Zhang, Honggang Wang, Chonggang Wang, and Hua Fang. 2013. Interference mitigation for cyber-physical wireless body area network system using social networks. IEEE Trans. Emerg. Top. Comput. 1, 1 (2013), 121--132.
    [47]
    G. Zhou, H. Wang, D. T. Nguyen, Z. Ren, and X. Qi. 2016. Throughput assurance for multiple body sensor networks. IEEE Trans. Parallel Distrib. Syst. 27, 2 (2016), 546--557.

    Cited By

    View all
    • (2024)Intelligent Clustering Coloring Algorithm Based on K-means++ Algorithm in WBANsArtificial Intelligence in China10.1007/978-981-99-7545-7_31(297-303)Online publication date: 23-Mar-2024
    • (2023)Survey of IoMT Interference Mitigation Techniques for Wireless Body Area Networks (WBANs)Machine Intelligence for Internet of Medical Things: Applications and Future Trends10.2174/9789815080445123020008(64-82)Online publication date: 9-May-2023

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Transactions on Sensor Networks
    ACM Transactions on Sensor Networks  Volume 14, Issue 2
    May 2018
    275 pages
    ISSN:1550-4859
    EISSN:1550-4867
    DOI:10.1145/3203093
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Journal Family

    Publication History

    Published: 21 July 2018
    Accepted: 01 October 2017
    Revised: 01 October 2017
    Received: 01 May 2016
    Published in TOSN Volume 14, Issue 2

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. IEEE 802.15.6
    2. interference mitigation
    3. spectral efficiency
    4. wireless body area networks

    Qualifiers

    • Research-article
    • Research
    • Refereed

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)10
    • Downloads (Last 6 weeks)2
    Reflects downloads up to 10 Aug 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Intelligent Clustering Coloring Algorithm Based on K-means++ Algorithm in WBANsArtificial Intelligence in China10.1007/978-981-99-7545-7_31(297-303)Online publication date: 23-Mar-2024
    • (2023)Survey of IoMT Interference Mitigation Techniques for Wireless Body Area Networks (WBANs)Machine Intelligence for Internet of Medical Things: Applications and Future Trends10.2174/9789815080445123020008(64-82)Online publication date: 9-May-2023

    View Options

    Get Access

    Login options

    Full Access

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media