Title
Congestion Control And Fairness In Wireless Sensor Networks
Abstract
In this paper we propose a distributed congestion control algorithm for tree based communications in wireless sensor networks, that seeks to adaptively assign afair and efficient transmission rate to each node. In our algorithm, each node monitors its aggregate output and input traffic rates. Based on the difference of the two, a node then decides either to increase or decrease the bandwidth allocable to a flow originating from itself and to those being routed through it. Since the application requirements in sensor network follows no common trait, our design abstracts the notion of fairness, allowing for the development of a generic utility controlling module. Such separation of the utility and fairness controlling modules enables each one to use a separate control law thereby portraying a more flexible design. The working of our congestion control is independent of the underlying routing algorithm and is designed to adapt to changes in the underlying routing topology. We evaluate the performance of the algorithm via extensive simulations using an event-driven packet level simulator. The results suggest that the proposed protocol acquires a significantly high goodput of around 95% of the actual transmission rate, converges quickly to the optimal rate, and attains the desired fairness. © 2010 IEEE.
Publication Date
7-1-2010
Publication Title
2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010
Number of Pages
413-418
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/PERCOMW.2010.5470632
Copyright Status
Unknown
Socpus ID
77953974154 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77953974154
STARS Citation
Brahma, Swastik; Chatterjee, Mainak; and Kwiat, Kevin, "Congestion Control And Fairness In Wireless Sensor Networks" (2010). Scopus Export 2010-2014. 1076.
https://stars.library.ucf.edu/scopus2010/1076