Title
Optimal Joint Multi-Path Routing And Sampling Rates Assignment For Real-Time Wireless Sensor Networks
Abstract
Maximizing the aggregate network performance over constrained computing and communication resources has been an active research area. Real-time wireless sensor network (RTWSN) is an important application of real-time and networked embedded systems. Due to the severe resource constraints and associated real-time requirements, new challenges arise in RTWSN. In this paper, we study an integrated scheme to optimize the total system performance of real-time flows over an RTWSN by exploiting multi-path routing and dynamic sampling rate assignment. We formally model the problem using nonlinear optimization and design an online distributed algorithm to obtain the optimal rate assignments on multiple paths. Extensive simulation studies demonstrates the significant performance improvements over existing proposals.
Year
DOI
Venue
2011
10.1109/icc.2011.5963245
2011 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Keywords
Field
DocType
nonlinear programming,wireless sensor network,distributed algorithms,real time systems,optimization,oscillations,routing,wireless sensor networks,real time,embedded systems,network performance,embedded system,nonlinear optimization,system performance,oscillators,distributed algorithm
Key distribution in wireless sensor networks,Computer science,Nonlinear programming,Sampling (signal processing),Computer network,Real-time computing,Distributed algorithm,Sampling (statistics),Wireless sensor network,Multi path routing,Network performance,Distributed computing
Conference
Volume
Issue
ISSN
null
null
1550-3607
Citations 
PageRank 
References 
2
0.35
8
Authors
6
Name
Order
Citations
PageRank
Lei Rao164036.38
Xue Liu23058193.41
Kyoung-Don Kang356337.51
Wenyu Liu43131170.07
Liang Liu527115.59
Ying Chen636134.10