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A congestion control scheme based on fuzzy logic in wireless body area networks

Ghanavati, Sara, Abawajy, Jemal and Izadi, Davood 2015, A congestion control scheme based on fuzzy logic in wireless body area networks, in NCA 2015: Proceedings of the 14th IEEE International Symposium on Network Computing and Applications, IEEE, Piscataway, N.J., pp. 235-242, doi: 10.1109/NCA.2015.38.

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Title A congestion control scheme based on fuzzy logic in wireless body area networks
Author(s) Ghanavati, Sara
Abawajy, Jemal
Izadi, Davood
Conference name IEEE Network Computing and Applications. International Symposium (14th : 2015 : Cambridge, Ma.)
Conference location Cambridge, Ma.
Conference dates 28-30 Sep. 2015
Title of proceedings NCA 2015: Proceedings of the 14th IEEE International Symposium on Network Computing and Applications
Publication date 2015
Start page 235
End page 242
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Wireless Body Area Networks (WBANs)
healthcare applications
congestion control method
type2 fuzzy logic system
Summary One of the major challenges in healthcare wireless body area network (WBAN) applications is to control congestion. Unpredictable traffic load, many-to-one communication nature and limited bandwidth occupancy are among major reasons that can cause congestion in such applications. Congestion has negative impacts on the overall network performance such as packet losses, increasing end-to-end delay and wasting energy consumption due to a large number of retransmissions. In life-critical applications, any delay in transmitting vital signals may lead to death of a patient. Therefore, in order to enhance the network quality of service (QoS), developing a solution for congestion estimation and control is imperative. In this paper, we propose a new congestion detection and control protocol for remote monitoring of patients health status using WBANs. The proposed system is able to detect congestion by considering local information such as buffer capacity and node rate. In case of congestion, the proposed system differentiates between vital signals and assigns priorities to them based on their level of importance. As a result, the proposed approach provides a better quality of service for transmitting highly important vital signs.
ISBN 0769556817
9781509018499
Language eng
DOI 10.1109/NCA.2015.38
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082858

Document type: Conference Paper
Collection: School of Information Technology
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