TITLE:
Probabilistic QOS Aware Congestion Control in Wireless Multimedia Sensor Networks
AUTHORS:
Muthuselvi Mayandi, Kavitha Velayudhan Pillai
KEYWORDS:
Congestion Control, WMSN, Traffic Control, QOS, Probabilistic Method, Inelastic Traffic, Elastic Traffic
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
5,
2016
ABSTRACT: The general problem faced
in the field of Wireless Multimedia Sensor Networks (WMSNs) is congestion. The
most common method in the area of WMSNs to minimize congestion is traffic
control. Quality Of Service (QOS) is widely used in WMSNs to guarantee
preferential service for critical applications by controlling end-to-end delay,
reducing data loss and by providing adequate bandwidth. The present work is on
Probabilistic QOS Aware Congestion Control (PQACC) which employs probabilistic
method based congestion prediction and priority based data transmission rate
adjustment, where inelastic real-time traffic and elastic non-real-time traffic
are treated separately. Using the present PQACC approach, average throughput,
average source-to-sink delay and average packet loss probability are improved
by 9%, 10.33% and 16.03% compared to EWPBRC and achieved 5.97%, 7.05% and
11.69% improvement compared to FEWPBRC. Simulation result reveals that,
congestion is effectively predicted, controlled and provides necessary level of
QOS in terms of delay, throughput and packet loss, hence making this approach
possible in mission critical applications.