Paper Info
Title
Adaptive sampling with sensor selection for target tracking in wireless sensor networks
Abstract
In this paper, we consider a target tracking problem where the time interval between adjacent sensor measurements is a decision variable to be optimized. Therefore, we aim to sample the target very frequently when the uncertainty is large and sample the target less frequently when the uncertainty is small. Having obtained when to sample the target, next we determine which sensors to be selected at the intended sampling instant. Simulation results show that the proposed algorithm provides similar estimation performance to the algorithm where all sensors transmit with fixed and small sampling intervals. Moreover, adaptive sampling with sensor selection provides significant savings on the number of sensors selected in the entire tracking period as compared to fixed target sampling case.
Year
DOI
Venue
2014
10.1109/ACSSC.2014.7094584
Pacific Grove, CA
Keywords
Field
DocType
adaptive signal processing,sensor placement,signal sampling,target tracking,wireless sensor networks,adaptive sampling,adjacent sensor measurement,sensor selection,target tracking problem,wireless sensor network
Decision variables,Adaptive sampling,Computer science,Electronic engineering,Sampling (statistics),Mobile wireless sensor network,Sensor selection,Wireless sensor network
Conference
ISSN
Citations 
PageRank 
1058-6393
1
0.35
References 
Authors
5
2
Name
Order
Citations
PageRank
Abdulkadir Kose110.35
Engin Maşazade230.73