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SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System

Vehicular network enabled vehicle health, safety and monitoring system is gaining attention for its potential application while software defined network (SDN) is supporting vehicular communication for designing core of the network. Vehicular network emits enormous amount of data where most of them a...

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Main Authors: Ahmad, Tanvir, Nor Syahidatul Nadiah, Ismail, Abdullah, Mat Safri, Rahman, Md. Arafatur, Beg, Mohammad Sojon, Bakhtiar, M. Taher
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2023
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/38840/1/SDN%20Enabled%20Big%20Data%20Analytics%20and%20Framework.pdf
http://umpir.ump.edu.my/id/eprint/38840/2/SDN_Enabled_Big_Data_Analytics_and_Framework_for_Sensor_Data_of_Vehicle_Health_Safety_and_Monitoring_System.pdf
http://umpir.ump.edu.my/id/eprint/38840/
https://doi.org/10.1109/ICSECS58457.2023.10256305
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spelling my.ump.umpir.388402023-10-10T02:22:07Z http://umpir.ump.edu.my/id/eprint/38840/ SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System Ahmad, Tanvir Nor Syahidatul Nadiah, Ismail Abdullah, Mat Safri Rahman, Md. Arafatur Beg, Mohammad Sojon Bakhtiar, M. Taher QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) Vehicular network enabled vehicle health, safety and monitoring system is gaining attention for its potential application while software defined network (SDN) is supporting vehicular communication for designing core of the network. Vehicular network emits enormous amount of data where most of them are sensor data and that amount of data required to undergo analyzed for productive output. There are two types of sensor data are used in vehicular network, vehicle sensor data (VSD) and infrastructure sensor data (ISD). Flow based SDN controller examines every packet of the network which is responsible of engagement of resources gravely. For vehicular health monitoring and safety applications, SDN doesn't required to check and analyze ISD. In this paper, a framework is proposed that promises to ignore ISD and only consider VSD for vehicle health, safety and monitoring applications. With this connections, this paper proposes big data module along with SDN controller and inside the big data module, a partitioner program is designed. The partitioner program categorize VSD and ISD on the basis of certain parameters like data payload, technology used, packet header and restrict RSD to be processed by SDN controller. A combiner program is designed that bind both VSD and ISD to fed to the application plane of system. Additionally, a big data analytics for vehicle health, safety and monitoring application is derived. IEEE 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38840/1/SDN%20Enabled%20Big%20Data%20Analytics%20and%20Framework.pdf pdf en http://umpir.ump.edu.my/id/eprint/38840/2/SDN_Enabled_Big_Data_Analytics_and_Framework_for_Sensor_Data_of_Vehicle_Health_Safety_and_Monitoring_System.pdf Ahmad, Tanvir and Nor Syahidatul Nadiah, Ismail and Abdullah, Mat Safri and Rahman, Md. Arafatur and Beg, Mohammad Sojon and Bakhtiar, M. Taher (2023) SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System. In: 2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS), 25-27 August 2023 , Penang, Malaysia. pp. 117-121.. ISBN 979-8-3503-1094-8 https://doi.org/10.1109/ICSECS58457.2023.10256305
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
Ahmad, Tanvir
Nor Syahidatul Nadiah, Ismail
Abdullah, Mat Safri
Rahman, Md. Arafatur
Beg, Mohammad Sojon
Bakhtiar, M. Taher
SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System
description Vehicular network enabled vehicle health, safety and monitoring system is gaining attention for its potential application while software defined network (SDN) is supporting vehicular communication for designing core of the network. Vehicular network emits enormous amount of data where most of them are sensor data and that amount of data required to undergo analyzed for productive output. There are two types of sensor data are used in vehicular network, vehicle sensor data (VSD) and infrastructure sensor data (ISD). Flow based SDN controller examines every packet of the network which is responsible of engagement of resources gravely. For vehicular health monitoring and safety applications, SDN doesn't required to check and analyze ISD. In this paper, a framework is proposed that promises to ignore ISD and only consider VSD for vehicle health, safety and monitoring applications. With this connections, this paper proposes big data module along with SDN controller and inside the big data module, a partitioner program is designed. The partitioner program categorize VSD and ISD on the basis of certain parameters like data payload, technology used, packet header and restrict RSD to be processed by SDN controller. A combiner program is designed that bind both VSD and ISD to fed to the application plane of system. Additionally, a big data analytics for vehicle health, safety and monitoring application is derived.
format Conference or Workshop Item
author Ahmad, Tanvir
Nor Syahidatul Nadiah, Ismail
Abdullah, Mat Safri
Rahman, Md. Arafatur
Beg, Mohammad Sojon
Bakhtiar, M. Taher
author_facet Ahmad, Tanvir
Nor Syahidatul Nadiah, Ismail
Abdullah, Mat Safri
Rahman, Md. Arafatur
Beg, Mohammad Sojon
Bakhtiar, M. Taher
author_sort Ahmad, Tanvir
title SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System
title_short SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System
title_full SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System
title_fullStr SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System
title_full_unstemmed SDN Enabled Big Data Analytics and Framework for Sensor Data of Vehicle Health, Safety and Monitoring System
title_sort sdn enabled big data analytics and framework for sensor data of vehicle health, safety and monitoring system
publisher IEEE
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38840/1/SDN%20Enabled%20Big%20Data%20Analytics%20and%20Framework.pdf
http://umpir.ump.edu.my/id/eprint/38840/2/SDN_Enabled_Big_Data_Analytics_and_Framework_for_Sensor_Data_of_Vehicle_Health_Safety_and_Monitoring_System.pdf
http://umpir.ump.edu.my/id/eprint/38840/
https://doi.org/10.1109/ICSECS58457.2023.10256305
_version_ 1822923762352259072
score 13.235362

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