On the Effectiveness of Relaxation Theory for Controlling High Traffic Volumes in Body Sensor Networks
Congestion related issues are major concerns in any networking system including Body Sensor Networks (BSN). This is due to the number of disastrous effects (e.g. high packet loss rate and service interruption) it may cause on the system’s performance. BSN, which normally involves with life-threatening measurements, are found to be very much affected by this problem. The incorporation of its real-time applications with life-death matters may likely put people at high risk during congestion. To address this challenge and alleviate congestion in BSN, we explore the feasibility of a new rate limiting technique known as Relaxation Theory (RT). Uniquely distinctive from the typical rate limiting schemes, the novelty of our approach lies in the ability to ’relax’ or postpone the excessive incoming packets to a certain extent, and avoid congestion from occurring in the first place. An insight performance analysis on one of BSN applications in healthcare monitoring (Electrocardiogram - ECG) shows promising results.
KeywordsCongestion control Relaxation Theory Engineering Level
Unable to display preview. Download preview PDF.
- 1.Yang, G.Z.: Body sensor networks, research challenges and applicationsGoogle Scholar
- 2.Minoli, D.: Broadband Network Analysis and Design. Artech House, Inc., Norwood (1993)Google Scholar
- 4.Stann, F., Heidemann, J.: Rmst: reliable data transport in sensor networks. In: Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, pp. 102–112 (May 2003)Google Scholar