Cross Layer Adaptation for QoS in WSN

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

17 Pages, 9 Figures, Published in IJCNC in September 2011 issue

Scientific paper

In this paper, we propose QoS aware MAC protocol for Wire- less Sensor Networks and its cross layer extension to network layer for providing QoS in delay sensitive WSN scenarios. In WSNs, there can be two types of traffic one is event driven traffic which requires immedi- ate attention and another is periodic reporting. Event driven traffic is classified as Class I(delay sensitive) traffic and periodic reporting is clas- sified as Class II(Best Effort) Traffic. MAC layer adaptation can take place in terms of (i) Dynamic contention window adjustment per class, (ii) Reducing the delay suffered by difference in Sleep schedules(DSS) of communicating nodes by dynamically adjusting Duty Cycle based on Utilization and DSS delay of class I traffic, (iii) Different DIFS (DCF Inter Frame Spacing) per class, (iv) Adjusting all the three schemes pro- posed above simultaneously. Cross layer extension is also proposed, in which MAC layer uses network layer's next hop information for better adaptation of duty cycle based on DSS delay. Routing protocols can uti- lize MAC layer parameter DSS delay to select the routes which offer least DSS delay latency, there by minimizing the overall end-to-end delay.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Cross Layer Adaptation for QoS in WSN does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Cross Layer Adaptation for QoS in WSN, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Cross Layer Adaptation for QoS in WSN will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-132882

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.