Performance Evaluation of a Traffic Surveillance Application Using iFogSim

Abstract

iFogSim is a toolkit to model, simulate, and evaluate the networks of Fog computing, Edge computing, and Internet of Things (IoT). The framework provides the capabilities of analyzing and evaluating the performance of applications and resource management policies in Fog/IoT environments, based on which designers can model and test their applications. This paper reports on the performance evaluation of a traffic surveillance vehicular network application that uses smart cameras using iFogSim, where the scenario of multiple vehicles tracking is considered. The effectiveness of the proposed application model is assessed and validated by simulation experiments using a modified application model inherited from a case study of intelligent surveillance through distributed camera networks introduced in (Gupta H, Vahid Dastjerdi A, Ghosh SK, Buyya R. Softw Pract Exp. 47(9):1275–1296, 2017). Simulations were conducted using the iFogSim tool. The comparison between one vehicle and multiple vehicle tracking was done and the results demonstrate that multiple vehicle application model achieved better performance in maintaining low latency. The new model shows inconsistency in data transfer rate as workload increases, and in terms of resource usage, the model shows an increase in network usage, RAM used, and energy consumption due to the high volume of vehicles being targeted.