A Distributed Coexistence Mitigation Scheme for IoT-Based Smart Medical Systems


BeomSeok Kim, Journal of Information Processing Systems Vol. 13, No. 6, pp. 1602-1612, Dec. 2017  

https://doi.org/10.3745/JIPS.03.0087
Keywords: channel access, Channel Planning, Coexistence Mitigation, IoT, Smart Medical System
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Abstract

Since rapidly disseminating of Internet of Things (IoT) as the new communication paradigm, a number of studies for various applications is being carried out. Especially, interest in the smart medical system is rising. In the smart medical system, a number of medical devices are distributed in popular area such as station and medical center, and this high density of medical device distribution can cause serious performance degradation of communication, referred to as the coexistence problem. When coexistence problem occurs in smart medical system, reliable transmitting of patient’s biological information may not be guaranteed and patient’s life can be jeopardized. Therefore, coexistence problem in smart medical system should be resolved. In this paper, we propose a distributed coexistence mitigation scheme for IoT-based smart medical system which can dynamically avoid interference in coexistence situation and can guarantee reliable communication. To evaluate the performance of the proposed scheme, we perform extensive simulations by comparing with IEEE 802.15.4 MAC protocol which is a traditional low-power communication technology.


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Cite this article
[APA Style]
Kim, B. (2017). A Distributed Coexistence Mitigation Scheme for IoT-Based Smart Medical Systems. Journal of Information Processing Systems, 13(6), 1602-1612. DOI: 10.3745/JIPS.03.0087.

[IEEE Style]
B. Kim, "A Distributed Coexistence Mitigation Scheme for IoT-Based Smart Medical Systems," Journal of Information Processing Systems, vol. 13, no. 6, pp. 1602-1612, 2017. DOI: 10.3745/JIPS.03.0087.

[ACM Style]
BeomSeok Kim. 2017. A Distributed Coexistence Mitigation Scheme for IoT-Based Smart Medical Systems. Journal of Information Processing Systems, 13, 6, (2017), 1602-1612. DOI: 10.3745/JIPS.03.0087.