Paper Info
Title
Impact of In-Network Aggregation on Target Tracking Quality Under Network Delays
Abstract
In this paper, we investigate how in-network aggregation approach impacts the target tracking quality in multi-hop wireless sensor networks under network delays. Specifically, we use the mean squared error (MSE) of the target location estimate to quantify the target tracking quality, and investigate how in-network aggregation affects the MSE. To obtain insights without being obscured by onerous mathematical details, we assume a Brownian motion mobility model for the target, Gaussian measurement noise for the sensors, and independent per-hop delays. Under the above assumptions, we first propose an aggregation scheme that preserves a sufficient statistic for optimal tracking under data aggregation at the intermediate nodes and arbitrary network delays. We then analytically study the impact of aggregation in three increasingly more complicated scenarios: single task tracking with only transmission delay, single task tracking with both transmission delay and queueing delay at intermediate nodes, and multi-task tracking. Our results demonstrate that in-network aggregation improves tracking quality in all three scenarios. Furthermore, our analysis provides guidelines on how to choose aggregation parameters in practice.
Year
DOI
Venue
2013
10.1109/JSAC.2013.130416
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Target tracking,Delays,Sensors,Routing,Noise measurement
Computer science,Transmission delay,Mean squared error,Mobility model,Real-time computing,Queueing theory,Gaussian,Data aggregator,Wireless sensor network,Gaussian noise
Journal
Volume
Issue
ISSN
31
4
0733-8716
Citations 
PageRank 
References 
0
0.34
23
Authors
7
Name
Order
Citations
PageRank
Wei Wei133822.75
Ting He271644.82
Chatschik Bisdikian388085.80
Dennis Goeckel4106069.96
Bo Jiang5879.66
Lance M. Kaplan676981.55
Don Towsley7186931951.05