Fog-based Distributed Camera Network system for Surveillance Applications

Abstract

The Internet of Things (IoT) refers to a network of interconnected physical devices embedded with sensors, software, and network connectivity that enables them to collect and exchange data. Cloud computing refers to the delivery of computing resources and services over the Internet. The time it takes for IoT data to transit to the cloud and back might have a substantial influence on the performance, especially for applications that need low latency. Fog computing has been proposed for this constraint. Many issues need to be resolved in order to fully utilize the real-time analytics capabilities of the fog and IoT paradigms. In this paper, we worked extensively using a simulator called iFogsim, to model IoT and Fog environments with real-world challenges and discussed mainly the data transmission between the fog nodes. We describe a case study and added constraints that make the a realistic fog environment with a Distributed Camera Network System (DCNS).