Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Multiple view geometry in computer vision
Multiple view geometry in computer vision
SensEye: a multi-tier camera sensor network
Proceedings of the 13th annual ACM international conference on Multimedia
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
The coverage problem in a wireless sensor network
Mobile Networks and Applications
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
ViewCast: view dissemination and management for multi-party 3d tele-immersive environments
Proceedings of the 15th international conference on Multimedia
Efficient Placement and Dispatch of Sensors in a Wireless Sensor Network
IEEE Transactions on Mobile Computing
Machine Vision and Applications
Energy-efficient coverage problems in wireless ad-hoc sensor networks
Computer Communications
Optimized energy allocation in battery powered image sensor networks
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Optimal placement and selection of camera network nodes for target localization
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
A method for coordinating the distributed transmission of imagery
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
International Journal of Ad Hoc and Ubiquitous Computing
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We explore camera scheduling and energy allocation strategies for lifetime optimization in image sensor networks. For the application scenarios that we consider, visual coverage over a monitored region is obtained by deploying wireless, battery-powered image sensors. Each sensor camera provides coverage over a part of the monitored region and a central processor coordinates the sensors in order to gather required visual data. For the purpose of maximizing the network operational lifetime, we consider two problems in this setting: a) camera scheduling, i.e., the selection, among available possibilities, of a set of cameras providing the desired coverage at each time instance, and b) energy allocation, i.e., the distribution of total available energy between the camera sensor nodes. We model the network lifetime as a stochastic random variable that depends upon the coverage geometry for the sensors and the distribution of data requests over the monitored region, two key characteristics that distinguish our problem from other wireless sensor network applications. By suitably abstracting this model of network lifetime and utilizing asymptotic analysis, we propose lifetime-maximizing camera scheduling and energy allocation strategies. The effectiveness of the proposed camera scheduling and energy allocation strategies is validated by simulations.