Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Sankararaman Janakiraman

dblp:41/7891 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless networking · 67% Transport protocols and congestion control · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking
cross-layer optimization
0.112009
DiffQ: Practical Differential Backlog Congestion Control for Wireless Networks · INFOCOM 2009
Wireless networking › wireless mesh network
multihop wireless network
0.112009
DiffQ: Practical Differential Backlog Congestion Control for Wireless Networks · INFOCOM 2009
Transport protocols and congestion control
wireless congestion control
0.112009
DiffQ: Practical Differential Backlog Congestion Control for Wireless Networks · INFOCOM 2009

Methods — techniques the papers use, named apart from their topics

backpressure · 0.1MAC scheduling · 0.1
YearPublicationVenuePosition
2009 DiffQ: Practical Differential Backlog Congestion Control for Wireless Networks
abstract
Congestion control in wireless multi-hop networks is challenging and complicated because of two reasons. First, interference is ubiquitous and causes loss in the shared medium. Second, wireless multihop networks are characterized by the use of diverse and dynamically changing routing paths. Traditional end point based congestion control protocols are ineffective in such a setting resulting in unfairness and starvation. This paper adapts the optimal theoretical work of Tassiulas and Ephremedes on cross-layer optimization of wireless networks involving congestion control, routing and scheduling, for practical solutions to congestion control in multi-hop wireless networks. This work is the first that implements in real off-shelf radios, a differential backlog based MAC scheduling and router-assisted backpressure congestion control for multi-hop wireless networks. Our adaptation, called DiffQ, is implemented between transport and IP and supports legacy TCP and UDP applications. In a network of 46 IEEE 802.11 wireless nodes, we demonstrate that DiffQ far outperforms many previously proposed "practical" solutions for congestion control.
Ajit Warrier, Sankararaman Janakiraman, Sangtae Ha, Injong Rhee
INFOCOM2