Traffic optimization in Fog based systems using CPEP Routing Algorithm

Ahuja, Suhail (2022) Traffic optimization in Fog based systems using CPEP Routing Algorithm. Masters thesis, Dublin, National College of Ireland.

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Abstract

As the count of Internet of Things (IoT)-based application grows, chances of the network congestion also increase. Fog Computing helps to overcome the challenges associated with processing a huge volume of sensor data. To overcome the congestion, the data produced by the IOT sensors/applications is required to be routed in an appropriate and optimum manner, but doing this is a difficult task. In fog computing, the data is kept locally on the fog nodes instead of being sent to the cloud servers, as using the cloud servers increases latency time. By using fog computing (FC) and customized routing protocol (CPEP), this study aims to increase the data transfer (throughput) and reduce the congestion and latency on the fog network. To prevent congestion, efficient strategies should be used to transfer the data to the target node with the least amount of delay and overhead possible. Our method, which consists of four elements, is presented below. In order to ensure that only one type of data is provided to each server, we first made use of content awareness to classify the requests according to their data categories. Following that, a priority-based technique is utilized to classify the requests depending on their importance levels. The processing time is shortened by 70.3615% and also the throughput is increased by 374.485%. The ideal path is then determined taking into account the energy level of nodes.

Additionally, a route awareness technique is employed in the last section to further minimize response time, as a result, this facilitates the quick routing of data within IOT application services network.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Mijumbi, Rashid UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	18 Apr 2023 13:15
Last Modified:	18 Apr 2023 13:15
URI:	https://norma.ncirl.ie/id/eprint/6456

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