Work

Edge-Cloud Collaborative Processing for Intelligent Internet of Things: A Case Study on Smart Surveillance

Year: 2018

Type: conference-paper

Abstract: Limited processing power and memory prevent realization of state of the art algorithms on the edge level. Offloading computations to the cloud comes with tradeoffs as compression techniques employed to conserve transmission bandwidth and energy adversely impact accuracy of the algorithm. In this paper, we propose collaborative processing to actively guide the output of the sensor to improve performance on the end application. We apply this methodology to smart surveillance specifically the task of object detection from video. Perceptual quality and object detection performance is characterized and improved under a variety of channel conditions.

Source: ACM/IEEE Design Automation Conference (DAC)

DOI: 10.1109/dac.2018.8465862

Authors: Burhan A. Mudassar, Jong Hwan Ko, Saibal Mukhopadhyay

Institution: Georgia Institute of Technology

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

Funders: Defense Advanced Research Projects Agency, Advanced Research Projects Agency