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Hybrid mac strategy exploiting markov chain model for iot enabled intra-vehicular health monitoring system / Mahima Karim

By:

Mahima Karim [author.]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

THE0009546 (Local)

Subject(s):

Dissertation note: Thesis (Master of Science) -- Universiti Malaysia Pahang – 2022 Abstract: Vehicular networks, coined with IoT, have opened a new arena of possibilities for a comfortable and seamless driving experience. IoT is already incorporated into almost every aspect of human life for the past couple of years. Over the years, it has also shown remarkable development in the automotive industry. With the exponential growth of sensors and communication protocols inside a vehicle, intra-vehicular networks are becoming overcrowded and more complex day by day. This raises many issues, such as degraded QoS (Quality of Service), network congestion, packet loss, transmission delay, intrusions, unsatisfactory throughput, etc. These problems are also apparent in vehicular health monitoring systems. To overcome such challenges, it is necessary to develop an elaborate communication protocol to address them. In this thesis, the main area of focus was improving MAC protocol. TCP/IP is a five-layer standardized communication protocol that facilitates communication between devices over the internet. Unique network protocols and functions are authorized for each of the five layers. In this research, the work is fully focused on optimizing the MAC layer in vehicles. A hybrid MAC layer is a history-based and priority-based MAC combining the best features of both schemes proposed in this thesis. Here, the efficiency of the system is evaluated by calculating the system’s throughput using enhanced Markov chain calculation as well as doing ns-3 simulation for different conditions. The objective of this research is to improve MAC’s scalability and mitigate network traffic and congestion issues by improving the throughput and reducing collision and delay. The proposed Hybrid MAC shows a significant increase in throughput compared to history-based MAC and priority-based MAC, as well as efficiency in mitigating delay and collision in the network.

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Holdings ( 2 )
Title notes ( 4 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	UMPLIB PEKAN	FKOM .M34 2022 r Thesis (Browse shelf(Opens below))	1	Not for loan		T000002261
Thesis	UMPLIB PEKAN	CD13290 (Browse shelf(Opens below))	1	Not for loan		T000002262

Faculty of Computing

Thesis (Master of Science) -- Universiti Malaysia Pahang – 2022

Includes bibliographical references

Vehicular networks, coined with IoT, have opened a new arena of possibilities for a comfortable and seamless driving experience. IoT is already incorporated into almost every aspect of human life for the past couple of years. Over the years, it has also shown remarkable development in the automotive industry. With the exponential growth of sensors and communication protocols inside a vehicle, intra-vehicular networks are becoming overcrowded and more complex day by day. This raises many issues, such as degraded QoS (Quality of Service), network congestion, packet loss, transmission delay, intrusions, unsatisfactory throughput, etc. These problems are also apparent in vehicular health monitoring systems. To overcome such challenges, it is necessary to develop an elaborate communication protocol to address them. In this thesis, the main area of focus was improving MAC protocol. TCP/IP is a five-layer standardized communication protocol that facilitates communication between devices over the internet. Unique network protocols and functions are authorized for each of the five layers. In this research, the work is fully focused on optimizing the MAC layer in vehicles. A hybrid MAC layer is a history-based and priority-based MAC combining the best features of both schemes proposed in this thesis. Here, the efficiency of the system is evaluated by calculating the system’s throughput using enhanced Markov chain calculation as well as doing ns-3 simulation for different conditions. The objective of this research is to improve MAC’s scalability and mitigate network traffic and congestion issues by improving the throughput and reducing collision and delay. The proposed Hybrid MAC shows a significant increase in throughput compared to history-based MAC and priority-based MAC, as well as efficiency in mitigating delay and collision in the network.