Adaptive Energy-Oriented Multitask Allocation in Smart Camera Networks

Abstract

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 paper 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.

An Optimal Allocation of Tracking Tasks in a SW/HW Fog/Cloud Based Distributed Video Surveillance System

“…The authors present the design of aVLSI architecture for change detection in a video sequence and its implementation on Virtex-IIPro FPGA platform; clustering-based scheme is used for change detection. The authors of [10] address the problem of managing power consumption in Smart Camera Networks (SCN) in order to extend the SCN lifetime; they propose a market-based solution where cameras bid for tasks using an adaptive utility function. They demonstrate that by assigning vision tasks to cameras in an energy-aware manner, it becomes possible to extend the network lifetime.…”