D2MAC: Dynamic delayed Medium Access Control (MAC) protocol with fuzzy technique for Wireless Body Area Networks

Nesa Mouzehkesh Pirborj, Tanveer Zia, Saman Shafigh, Lihong Zheng

Research output: Book chapter/Published conference paperConference paperpeer-review

15 Citations (Scopus)

Abstract

Wireless Body Area Networks (WBAN) have emerged as an extension to conventional wireless sensor networks in recent years to comply with the needs in providing timely and effective response in healthcare as one of the many target applications such networks have. The traffic of a WBAN is diverse due to different monitoring tasks carried on by sensor nodes. It brings difficulty in how to efficiently organize the access to the medium for the dynamic and various generated traffic. This paper analyses the traffic diversity problem in WBAN for healthcare applications and proposes a dynamic delayed Medium Access Control (MAC) algorithm. A fuzzy logic system is used to incorporate both application and protocol related parameters of the real time traffic to make the backoff time produced in IEEE 802.15.4 MAC protocol traffic adaptive. The simulation results demonstrate a significant reliability in packet transmissions and decrease in the latency with no change in energy consumption level.
Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE International Conference on Body Sensor Networks
EditorsJeff Palmer, Reed Hoyt
Place of PublicationUnited States
PublisherInstitute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781479903290
ISBN (Print)9781479903306
DOIs
Publication statusPublished - 2013
Event10th International Conference on Wearable and Implantable Body Sensor Networks: BSN 2013 - MIT, Cambridge, United States
Duration: 06 May 201309 May 2013
http://www.bsn2013.org/

Conference

Conference10th International Conference on Wearable and Implantable Body Sensor Networks
Country/TerritoryUnited States
CityCambridge
Period06/05/1309/05/13
OtherThe availability of small, low-cost networked sensors combined with advanced signal processing and information extraction is driving a revolution in physiological monitoring and intervention. Body Sensor Networks (BSN) are enabling technologies for precision healthcare, enhanced sports and fitness training, novel life-style monitoring, and individualized security.The 10th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2013) will address BSN research and offer participants a unique forum to discuss the key issues and innovative solutions for sensors, communications, algorithms, systems, and applications. The conference features numerous invited lectures by leading academic researchers and industrial experts. On the days before and after the conference, tutorials will be presented, detailing and demonstrating BSN technologies from sensor networks to the algorithms that employ them.
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