By Topic

A distributed Delay-balancing Slot Allocation algorithm for 802.11s Mesh Coordinated Channel Access under dynamic traffic conditions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Luciano Lenzini ; Dip. Ingegneria dell'Informazione, University of Pisa, Via Diotisalvi 2, 1-56122 Pisa, Italy ; Enzo Mingozzi ; Carlo Vallati

The Mesh Coordinated Channel Access (MCCA) defined by the IEEE 802.11s draft standard implements a TDMA-based Medium Access Control (MAC) protocol by allowing mesh routers to negotiate collision-free transmission opportunities, called MCCAOPs, in a hop-by-hop manner. The procedure to determine the duration, in time slots, and the periodic schedule of MCCAOPs is however left unspecified by the standard. In this paper, we propose a Dynamic Delay-balancing Slot Allocation (D2SA) algorithm to deal with dynamic traffic conditions in the context of IEEE 802.11s MCCA. D2SA is fully distributed and aims at exploiting locally at each node the statistical multiplexing of different traffic flows in order to mitigate temporary congestion or under-utilization of the available capacity due to variable traffic demand. This is accomplished by dynamically balancing over the smallest possible time scale the queuing delays experienced by packets relayed to different neighbors. By means of extensive packet-level simulations under realistic network assumptions, we evaluate the effectiveness of D2SA and show that, by improving both the average and the percentiles of the delay per link at each node, it is able to yield better end-to-end performance than in the static case at basically no additional overhead cost.

Published in:

The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010)

Date of Conference:

8-12 Nov. 2010