Paper Info
Title
Distributed utility-based rate adaptation protocols for prioritized, quasi-elastic flows
Abstract
This paper considers rate adaptation for streaming multimedia data in a wireless sensor network (WSN) consisting of multiple missions, where each mission subscribes to data streams from multiple sensors, and each sensor's data is utilized by multiple heterogenous missions. We specifically consider the application of the distributed network utility maximization (NUM) framework to a previously unconsidered scenario where the different missions have different priorities, as well as minimum utility demands. When all the utility demands are feasible, we first show that the addition of a penalty for failing to reach the minimum utility demand to the base NUM protocol leads to maximization of the global utility. The paper, however, principally focuses on those situations where the minimum demands cannot all be satisfied due to resource constraints. To address such practical scenarios, we present and evaluate a) a family of modified NUM-based protocols to determine the optimal satisfied set, when the missions have unique priority order, and b) heuristics for applying NUM, when multiple missions have the same priority.
Year
DOI
Venue
2009
10.1145/1558590.1558592
Mobile Computing and Communications Review
Keywords
Field
DocType
multiple heterogenous mission,quasi-elastic flow,utility-based rate adaptation protocol,utility demand,multiple mission,minimum utility demand,minimum demand,network utility maximization,base num protocol,global utility,data stream,multiple sensor,wireless sensor network,satisfiability
Data stream mining,Network utility maximization,Computer science,Computer network,Heuristics,Wireless sensor network,Multiple sensors,Maximization,Distributed computing
Journal
Volume
Issue
Citations 
13
1
3
PageRank 
References 
Authors
0.43
8
4
Name
Order
Citations
PageRank
Sharanya Eswaran1468.27
Matthew P. Johnson222431.53
Archan Misra31688149.25
Thomas La Porta480191.33