Published February 5, 2016 | Version v1
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Adaptive Energy-Oriented Multitask Allocation in Smart Camera Networks

  • 1. KIOS Center of Excellence, University of Cyprus


Emerging computer vision applications of smart camera networks (SCNs) often require that the network cameras operate under limited or unreliable power sources. Therefore in order to extend the SCN lifetime it is important to manage the energy consumption of the cameras which is related to the workload of the vision tasks they perform. Hence, by assigning vision tasks to cameras in an energy-aware manner it is possible to extend the network lifetime. In this letter, we address this problem by proposing a market-based solution where cameras bid for tasks using an adaptive utility function. The early results for different SCN configurations and scenarios indicate that the proposed methodology can increase network lifetime.


© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, in-cluding reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serv-ers or lists, or reuse of any copyrighted component of this work in other works. C. Kyrkou, C. Laoudias, T. Theocharides, C. G. Panayiotou and M. Polycarpou, "Adaptive Energy-Oriented Multitask Allocation in Smart Camera Networks," in IEEE Embedded Systems Letters, vol. 8, no. 2, pp. 37-40, June 2016. doi: 10.1109/LES.2016.2526071


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FAULT-ADAPTIVE – Fault-Adaptive Monitoring and Control of Complex Distributed Dynamical Systems 291508
European Commission