Paper Info
Title
Maximizing Network Lifetime For Estimation In Multi-Hop Wireless Sensor Networks
Abstract
In this paper, we consider distributed estimation in energy-limited wireless sensor networks from lifetime-distortion perspective, where the goal is to maximize the network lifetime for a given distortion requirement. To take into account both local quantization and multi-hop transmission, which are essential to save transmission energy and thus prolong the network lifetime, the network lifetime maximization problem is formulated as a nonlinear programming (NLP) problem, where there are three factors needed to be optimized jointly: (i) source coding at each sensor, (ii) source throughput of each sensor, and (iii) multi-hop routing path. Furthermore, we show that this NLP problem can be decoupled without loss of optimality and reformulated as a linear programming (LP) problem. The proposed algorithm is optimal and the simulation results show that a significant gain is achieved by the proposed algorithm compared with heuristic methods.
Year
DOI
Venue
2008
10.1109/ICCCN.2008.ECP.150
2008 PROCEEDINGS OF 17TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS, VOLS 1 AND 2
Keywords
Field
DocType
energy conservation,source code,quantization,estimation,estimation theory,linear program,nonlinear programming,throughput,routing,linear programming,wireless sensor network,optimization,wireless sensor networks,source coding
Heuristic,Mathematical optimization,Source code,Computer science,Nonlinear programming,Computer network,Linear programming,Throughput,Quantization (signal processing),Wireless sensor network,Maximization,Distributed computing
Conference
ISSN
Citations 
PageRank 
1095-2055
3
0.43
References 
Authors
7
2
Name
Order
Citations
PageRank
Junlin Li11467.58
Ghassan AlRegib268670.32