Enhancing VANET Communication through Fuzzy Logic Weight Evaluation and PDR Selection

Problem Definition

The Reference Problem Definition highlights the challenges in defining the weight value within the AHP based Multi metric Geographical Routing Protocol for VANETs. The protocol aims to improve communication between vehicles in a dynamic ad hoc network, but struggles with determining the optimal weight value to achieve the best results. While the protocol shows promise in certain scenarios, the lack of a clear methodology for defining the weight value poses a significant limitation. This difficulty in determining the weight value hinders the overall performance of the routing protocol and emphasizes the need for an updated approach to address this key issue. By addressing this pain point, the efficiency and effectiveness of communication within VANETs can be greatly enhanced, thereby highlighting the necessity of further research and development in this area.

Objective

The objective is to address the challenge of determining the optimal weight value in the AHP based Multi metric Geographical Routing Protocol for VANETs. This will be achieved by proposing a novel weight-based approach using a fuzzy inference system to evaluate the weight of each node for communication in the network. Additionally, the objective is to enhance the traditional routing concepts by introducing a more automated and efficient process, as well as incorporating security concerns by including the Packet Delivery Ratio (PDR) as a selection factor. Ultimately, the proposed work aims to improve the efficiency and security of data transmission in VANETs.

Proposed Work

VANET is a dynamic wireless ad hoc network that relies on efficient routing protocols for communication between vehicles. The recently proposed AHP based Multi metric Geographical Routing Protocol aims to improve the forwarding process by using a single weighing function to determine the next hop node within a specified range. However, a major challenge faced in this protocol is determining the optimal weight value for achieving the best results. To address this issue, a novel weight-based approach using a fuzzy inference system is proposed. This approach eliminates the need for manual entry of weight values and instead utilizes a fuzzy controller to evaluate the weight of each node for communication in the network.

The proposed work seeks to enhance the traditional routing concepts by introducing a fuzzy-based system for evaluating weight values. By replacing the manual selection of weight values with a fuzzy controller, the process becomes more automated and efficient. Additionally, the traditional work lacked a security concern in the selection parameter, which is addressed in the proposed work by including the Packet Delivery Ratio (PDR) as a selection factor. This enhancement ensures a more secure and reliable communication process. Furthermore, the weight evaluation mechanism is updated to include the fuzzy inference system for measuring the weight function, while the PDR is added as an additional factor for calculating the selection probability.

By incorporating these advancements, the proposed work aims to improve the efficiency and security of data transmission in VANETs.

Application Area for Industry

This project can be utilized in various industrial sectors such as transportation, logistics, automotive, and smart cities. The proposed solutions of using a Fuzzy controller based weight value evaluation function and including node PDR as a selection factor address the challenge of defining the best weight value in VANET routing protocols. By automating the process of determining node weights and incorporating the PDR as a selection parameter, industries can benefit from enhanced communication between vehicles, improved route efficiency, and increased network reliability. This project's solutions can be applied within different industrial domains to optimize in-vehicle communication, enhance traffic management systems, and elevate overall operational efficiency in various sectors.

Application Area for Academics

The proposed project of implementing a Fuzzy controller based weight value evaluation function in VANET routing protocols has the potential to enrich academic research, education, and training in the field of wireless ad hoc networks. By introducing a more automated and intelligent way of determining weight values for routing, researchers and students can delve into the intricacies of fuzzy logic and its application in network optimization. This project could be particularly relevant for researchers specializing in network protocols, artificial intelligence, and data analysis. MTech students or PHD scholars can leverage the code and literature of this project to understand how fuzzy inference systems can be used to improve routing efficiency in dynamic networks like VANETs. By exploring the fusion of fuzzy logic and network performance metrics, scholars can develop a deeper understanding of how to optimize communication between vehicles without the need for manual intervention in weight value selection.

Furthermore, the inclusion of Packet Delivery Ratio (PDR) as a selection factor adds a layer of security and reliability to the routing protocol, making it even more robust in real-world scenarios. By incorporating these advancements, researchers can explore new avenues of research in network optimization and intelligent routing algorithms. In terms of future scope, this project opens up possibilities for further exploration of fuzzy logic in other network protocols and scenarios. Researchers could investigate the application of fuzzy controllers in different types of ad hoc networks or expand the use of PDR in routing decisions. Overall, the proposed project has the potential to stimulate innovative research methods, simulations, and data analysis in educational settings, paving the way for enhanced network performance and reliability in VANETs and beyond.

Algorithms Used

Fuzzy logic is used in this project to enhance traditional routing concepts by replacing weight values with a Fuzzy controller-based weight evaluation function. This eliminates the need for manual intervention in selecting weight values and improves the accuracy of node weight evaluation. The inclusion of Packet Delivery Ratio (PDR) as a selection factor adds a security concern to the node selection process. The fuzzy inference system is used to measure the weight function, along with incorporating PDR as an additional factor for calculating the selection probability. This overall approach contributes to achieving better routing decisions in the network, enhancing efficiency, and accuracy in communication.

Keywords

Vehicular Ad hoc Networks, VANETs, routing protocol, AHP, Multi metric Geographical Routing Protocol, weight value, fuzzy controller, fuzzy based system, next hop node, communication, network, security, Packet Delivery Ratio, PDR, fuzzy inference system, urban environment, decision model, route selection, communication efficiency, robust routing, reliable routing, weight evaluation mechanism, selection probability, node status, node density, mobility, route selection, vehicle communication, wireless ad hoc network

SEO Tags

Vehicular Ad hoc Networks, VANETs, wireless ad hoc network, routing protocol, AHP, Multi metric Geographical Routing Protocol, weight value, fuzzy controller, Fuzzy controller based weight value evaluation function, communication network, node PDR, security concern, CH selection probability, fuzzy inference system, urban environment, decision model, route selection, communication efficiency, robust routing, reliable routing, research topic, PHD, MTech, research scholar