Optimal flow control for utility-lifetime tradeoff in wireless sensor networks

Authors:
Jiming Chen;Shibo He;Youxian Sun;Preetha Thulasiraman;Xuemin Shen
Affiliations:
Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;Zhejiang University, Hangzhou, China;University of Waterloo, Waterloo, Ontario, Canada;University of Waterloo, Waterloo, Ontario, Canada
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 8
Cited 0

Optimal flow control and routing in multi-path networks

Performance Evaluation - Special issue: Internet performance and control of network systems
Convex Optimization

Convex Optimization
Maximum lifetime routing in wireless sensor networks

IEEE/ACM Transactions on Networking (TON)
Tradeoff between network lifetime and fair rate allocation in wireless sensor networks with multi-path routing

Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Rate-lifetime tradeoff for reliable communication in wireless sensor networks

Computer Networks: The International Journal of Computer and Telecommunications Networking
An application-specific protocol architecture for wireless microsensor networks

IEEE Transactions on Wireless Communications
Optimal rate allocation for energy-efficient multipath routing in wireless ad hoc networks

IEEE Transactions on Wireless Communications
Fundamental design issues for the future Internet

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the paper, we study the utility-lifetime tradeoff in wireless sensor networks (WSNs) by formulating it as a constrained multi-objective optimization problem. Because of the coupling in the objective function, auxiliary variables are introduced to decouple it. We adopt Lagrange duality method to decompose the problem and regulate the rates through the link congestion price. We introduce the concept of inconsistent coordination price to balance the energy consumption of the sensor nodes. Based on the congestion and inconsistent coordination price, a distributed algorithm using gradient projection is proposed. Numerical results show the convergence of our algorithm, the tradeoff of utility-lifetime as well as the necessity of congestion control in WSNs.