Title
A Price-Based Distributed Algorithm for Optimal Utility-Energy Trade-Off in Wireless Sensor Networks
Abstract
Wireless sensor networks (WSNs) are energy- constrained in nature, in this paper, we formulate the problem of data transport in sensor networks as a network utility maximization (NUM) problem, but we argue that each source utility not only depends on its source rate, but also on the consumed energy, this leads to a coupled utility model, where the utilities are functions of source rates and consumed energy. Differentiating from the classical NUM framework which usually takes the consumed energy as constraints. Our utility model regards consumed energy as one of the components of measure of the utility values, which indicates the tradeoff of source rates and consumed energy, it is a more accurate utility model for abstracting the energy characteristics for data gathering and transmission in WSNs. Due to the coupled energy utility, our optimization problem is not separable. Despite the difficulty, we present a systematic approach to decouple our NUM problem with coupled utilities by introducing into the slack variables and using dual decomposition techniques, and obtain a distributed algorithm for solving this problem. The proposed algorithm can converge to the Pareto optimal tradeoff between rates and energy for all users.
Year
DOI
Venue
2007
10.1109/VETECF.2007.45
2007 IEEE 66th Vehicular Technology Conference
Keywords
Field
DocType
price-based distributed algorithm,optimal utility-energy trade-off,wireless sensor networks,WSN,data transport,network utility maximization,NUM problem,optimization problem
Data collection,Mathematical optimization,Slack variable,Utility model,Characteristic energy,Computer science,Computer network,Separable space,Distributed algorithm,Wireless sensor network,Optimization problem,Distributed computing
Conference
Volume
Issue
ISSN
null
null
1090-3038
ISBN
Citations 
PageRank 
978-1-4244-0263-2
2
0.40
References 
Authors
10
5
Name
Order
Citations
PageRank
Wenqing Cheng137942.02
Shengbin Liao2262.90
Wei Liu315518.50
Zongkai Yang441354.58
Kanru Xu5112.72