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 language | English |
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| Title of host publication | Proceedings of the 2013 IEEE International Conference on Body Sensor Networks |
| Editors | Jeff Palmer, Reed Hoyt |
| Place of Publication | United States |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479903290 |
| ISBN (Print) | 9781479903306 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 10th International Conference on Wearable and Implantable Body Sensor Networks: BSN 2013 - MIT, Cambridge, United States Duration: 06 May 2013 → 09 May 2013 http://www.bsn2013.org/ |
Conference
| Conference | 10th International Conference on Wearable and Implantable Body Sensor Networks |
|---|---|
| Country/Territory | United States |
| City | Cambridge |
| Period | 06/05/13 → 09/05/13 |
| Other | The 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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