Efficient Route Selection in VANETs using BAT Optimization Algorithm and Node Delay

Problem Definition

The Reference Problem Definition highlights the challenges faced in the AHP based Multi metric Geographical Routing Protocol, specifically in determining the weight value for identifying the next hop node. The difficulty lies in defining the optimal weight value that can ensure the most efficient forwarding process. Although the current methodology may yield satisfactory results in specific scenarios, the process of determining the best weight value remains a complex and elusive task. This limitation hinders the effectiveness and reliability of the routing protocol, indicating a pressing need for an updated approach to address this critical issue. By redefining the concept of weight value in the protocol, the potential exists to significantly enhance the overall performance and functionality of the routing system, ultimately optimizing network communication and data transfer processes.

Objective

The objective is to enhance the efficiency and security of Multi-metric Geographical Routing Protocols by redefining the weight value determination process. This will be achieved by incorporating a delay factor into the weight function and utilizing the BAT optimization algorithm to automatically compute the best weight value for route selection in VANETs. The proposed AMGRP-BAT system aims to streamline route selection, improve network security by considering node delay as a selection parameter, and minimize the need for manual input of weight values. Ultimately, the goal is to optimize network communication processes and enhance the overall performance of communication networks.

Proposed Work

The proposed work aims to address the research gap in AHP-based Multi-metric Geographical Routing Protocols by updating the route selection weight function in VANETs. The existing problem lies in defining the weight value for efficient forwarding, which is crucial for determining the next hop node within a specified range. To overcome this challenge, the proposed work introduces a delay factor into the weight function and utilizes the BAT optimization algorithm to automatically compute the best weight value for route selection. This innovative approach eliminates the need for manual input of weight values, enhancing the efficiency and accuracy of the routing protocol. Additionally, the inclusion of node delay as a selection factor adds a security layer to the traditional work, further improving the reliability of the communication network.

By integrating the BAT optimization algorithm with the concept of delay in the weight function, the proposed AMGRP-BAT system offers a sophisticated solution to the weight value determination problem. This method not only streamlines the process of route selection in VANETs but also enhances the security of the network by considering node delay as an important selection parameter. The rationale behind choosing the BAT optimization algorithm lies in its ability to autonomously determine the best weight value, minimizing the need for human intervention and ensuring optimal performance. Overall, the proposed work represents a significant advancement in Multi-metric Geographical Routing Protocols and holds promise for improving the efficiency and security of communication networks.

Application Area for Industry

This project can be applied in various industrial sectors such as telecommunications, transportation, supply chain management, and IoT networks. In the telecommunications industry, the proposed AHP based Multi metric Geographical Routing Protocol can help in optimizing network traffic routing and increasing efficiency in data transmission. In the transportation sector, it can assist in route planning and tracking of vehicles for better fleet management. For supply chain management, this project can aid in improving logistics operations by optimizing the delivery routes and reducing transportation costs. In IoT networks, the proposed solutions can enhance data transmission by selecting the most efficient paths for communication.

The key challenge that industries face is the difficulty in defining the optimal weight values for routing protocols, which can significantly impact the overall performance of the network. By incorporating the BAT optimization algorithm and introducing the concept of delay in weight function, this project offers a solution that automates the process of evaluating the weight values without requiring manual intervention. This results in more accurate and efficient selection of next hop nodes for communication, leading to improved network reliability, reduced latency, and enhanced security features due to the inclusion of node delay as a selection factor. Ultimately, implementing these solutions across different industrial domains can lead to better performance, cost savings, and overall operational efficiency.

Application Area for Academics

The proposed project on AHP based Multi metric Geographical Routing Protocol with BAT optimization algorithm has the potential to greatly enrich academic research, education, and training in the field of networking and optimization. By introducing the concept of delay in the weight function and utilizing the BAT algorithm for evaluating the best weight values for each node, this project offers a novel approach to enhancing the forwarding process in a network. This project's relevance lies in its innovative use of the BAT optimization algorithm to automate the process of determining weight values, eliminating the need for manual input and intervention. This can lead to more efficient and effective routing protocols, ultimately improving network performance. In an educational setting, this project can provide valuable insights into the application of optimization algorithms in network design and management.

It can serve as a case study for students to understand and explore the potential of incorporating advanced algorithms into routing protocols. Researchers in the field of networking and optimization can utilize the code and literature of this project to further their research on routing protocols and optimization techniques. MTech students and PhD scholars can leverage the findings and methodologies proposed in this project to develop their own research projects and experiments in the domain of network optimization. Future scope for this project includes exploring the application of other optimization algorithms and metrics in geographical routing protocols, as well as testing the scalability of the proposed approach in larger network scenarios. Additionally, further research can be conducted to investigate the security implications of incorporating node delay as a selection factor in the routing process.

Algorithms Used

The BAT optimization algorithm is used in the proposed work (AMGRP-BAT) to update traditional weight evaluation methods by introducing the concept of delay in the weight function. This algorithm eliminates the need for manual input of weight values, enhancing efficiency and accuracy in determining the weight of each node for communication in the network. Additionally, the inclusion of node delay as a selection factor enhances the security of the system, improving the overall performance and effectiveness of the project.

Keywords

SEO-optimized keywords: AHP, Multi metric, Geographical Routing Protocol, next hop node, forwarding process, weight value, AMGRP-BAT, delay function, BAT optimization algorithm, weight evaluation, selection parameter, node delay, security concern, Vehicular Ad hoc Networks, route selection, communication efficiency, performance enhancement, urban environments.

SEO Tags

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