The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
A Spatiotemporal Communication Protocol for Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
A high-accuracy, low-cost localization system for wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
The effects of ranging noise on multihop localization: an empirical study
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
StarDust: a flexible architecture for passive localization in wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
On Localization Performance in Imaging Sensor Nets
IEEE Transactions on Signal Processing
Urban optical wireless communication networks: the main challenges and possible solutions
IEEE Communications Magazine
Energy-efficient detection in sensor networks
IEEE Journal on Selected Areas in Communications
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In this paper we address the task of locating and mapping sensor nodes equipped with passive optical transmitters deployed within a wireless sensor network. The passive transmitter is in the form of a modulatable corner cube retro-reflector (CCR) and is interrogated by a base station equipped with a variable sized laser beam prior to data harvesting using optical wireless communication. We propose and discuss an efficient acquisition algorithm based on the binary search concept and evaluate its performance in locating a solitary sensor node. We demonstrate the use of an analytical tool for assessing the acquisition cost for different error probability distributions and search regimes. The common line-of-sight (LOS) requirement for both sensor location and data harvesting renders the need for individual sensor node identification redundant and thus yields a simplified search regime by comparison with previously published research on node localisation.