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Arvind Sankar

dblp:41/5845 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

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

Computer networks · 2 · 1 first-author

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
Routing and switching · 50% Internet of things and sensor networks · 50%
Theoretical computer science
1 paper
Graph algorithms and graph theory · 50% Mathematical optimization · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Routing and switching
ad hoc network routing
0.012004
Maximum Lifetime Routing in Wireless Ad-hoc Networks · INFOCOM 2004
Internet of things and sensor networks › energy efficiency
maximum lifetime routing
0.012004
Maximum Lifetime Routing in Wireless Ad-hoc Networks · INFOCOM 2004
Mathematical optimization
distributed optimization
0.012004
Maximum Lifetime Routing in Wireless Ad-hoc Networks · INFOCOM 2004
Graph algorithms and graph theory › graph algorithms › network flow
multicommodity flow
0.012004
Maximum Lifetime Routing in Wireless Ad-hoc Networks · INFOCOM 2004

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

multicommodity flow · 0.1distributed algorithm · 0.1
YearPublicationVenuePosition
2009 Bin-packing with fragile objects and frequency allocation in cellular networks
Nikhil Bansal 0001, Arvind Sankar
Wirel. Networks3
2004 Maximum Lifetime Routing in Wireless Ad-hoc Networks
abstract
Routing problems in mobile ad-hoc networks (MANET) have been receiving increasing attention in the last few years. Most of the proposed routing protocols concentrate on finding and maintaining routes in the face of changing topology caused by mobility or other environmental changes. More recently, power-aware routing protocols and topology control algorithms have been developed to address the issue of limited energy reserve of the nodes in ad-hoc networks. We consider the routing problem in MANET with the goal of maximizing the life time of the network. We propose a distributed routing algorithm that reaches the optimal (centralized) solution to within an asymptotically small relative error. Our approach is based on the formulation of multicommodity flow, and it allows to consider different power consumption models and bandwidth constraints. It works for both static and slowly changing dynamic networks.
Arvind Sankar
INFOCOM1