Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Sensor deployment and target localization in distributed sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Achieving Real-Time Target Tracking UsingWireless Sensor Networks
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Deploying wireless sensors to achieve both coverage and connectivity
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
On target tracking with binary proximity sensors
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Tracking multiple targets using binary proximity sensors
Proceedings of the 6th international conference on Information processing in sensor networks
Using clustering information for sensor network localization
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
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In this paper, we study topologies of sensor networks deployed for tracking multiple targets with Blind Source Separation (BSS), a statistical signal processing technique widely used to recover individual signals from mixtures of signals. BSS-based tracking algorithms are proven to be effective in tracking multiple indistinguishable targets. The topology of a wireless sensor network deployed for tracking with BSSbased algorithms is critical to tracking performance: (a) The topology affects separation performance. (b) The topology determines accuracy and precision of estimation on the paths taken by targets. We propose cluster topologies for BSS-based tracking algorithms. Guidelines on parameter selection for proposed topologies are given in this paper. We evaluate proposed cluster topologies with extensive experiments. Our empirical experiments also show that BSS-based tracking algorithm can achieve comparable tracking performance in comparison with algorithms assuming single target or distinguishable targets.