Smart city video surveillance using fog computing

P. Prakash, Raghavi Suresh and Dhinesh Kumar Pn

International Journal of Enterprise Network Management, 2019, vol. 10, issue 3/4, 389-399

Abstract: Conventional video surveillance systems require infrastructure including expensive servers with capability to process images and store video recordings. These surveillance systems produce and need to store a huge amount of data and to execute in real time to detect safety events. The problems of the anti-social activities which gradually increasing across the country especially in the urban areas in recent times which lead to the need for technological innovations in the security and surveillance system. The proposed system is based on cloud computing. In this paper the application has been modelled and simulated using iFogSim. The results predicts that the fog-based model is more secured and efficient compared to cloud computing parameter energy consumption. The proposed system helps to increase the effectiveness of the intelligent agencies and thereby increase crime safety at public places.

Keywords: cameras; Internet of Things; IoT; fog computing; cloud computing; surveillance system; ifogsim; smart city. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=103165 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijenma:v:10:y:2019:i:3/4:p:389-399

Access Statistics for this article

More articles in International Journal of Enterprise Network Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().