Enhanced Performance and Faster Response
using New IoT LiteTechnique
Kassem Ahmad1,2, Omar Mohammad1, Mirna Atieh3,
and Hussein Ramadan4
1Department of Computer Science and IT, Lebanese International University,
Lebanon
2Department of Computer Engineering, Islamic University of Lebanon,
Lebanon
3Department of Economic Sciences and Administration, Lebanese
University, Lebanon
4Olayan
School of Business, American University of Beirut, Lebanon
Abstract: Internet of Things (IoT) as a concept wasn’t
officially named until 1999 where it still used by big computer and
communication companies. It is the connection objects with each other anywhere, anytime, via internet communication without human
intervention. Communication is the main part of IoT. With the development of
technology and the revolution in a smart cell phone,
the connected devices reach billions which lead to a fast increase in the transmitted data
through the network. This rapid increase results in a heavy load on servers
which need more processing and routing time. Fog Computing and Cloud computing
paradigm extend the edge of the network,
thus enabling a new variety of applications and services. In this paper, we
focus on the modeling of the fog computing architecture and compare its
performance with the traditional model. We
present a comparative study with traditional IoT architecture based on classifying applications,define a priority for each
application, and use the cell operator as the main fog center to store data.
Then we givea solution to decrease data transmission time, reduce routing processes,
increase response speed, reduce internet usages, and enhance the overall
performance of IoT systems.
Keywords: Fog
computing revolution, processing time, speed, reliability, and bandwidth drop.