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Title: Improving AODV Routing Protocol in VANET using Centrality and Cognitive Differences
Abstract:
Vehicular Ad hoc Networks (VANETs) have emerged as a promising technology for enabling efficient communication among vehicles on the road. The Ad hoc On-demand Distance Vector (AODV) routing protocol is commonly used in VANETs due to its simplicity and low overhead. However, the dynamic and highly mobile nature of vehicles in VANETs poses significant challenges in achieving efficient and reliable communication. This paper aims to propose improvements to the AODV routing protocol in VANETs by incorporating the concepts of centrality and cognitive differences among vehicles.
1. Introduction:
VANETs are characterized by highly dynamic topologies, frequent disconnections, and limited network resources. Efficient routing protocols are crucial to ensure reliable and timely delivery of messages in such challenging environments. This paper presents an enhanced version of the AODV routing protocol that takes into account centrality and cognitive differences among vehicles.
2. Background:
VANETs and AODV: This section provides an overview of VANETs and the AODV routing protocol. It discusses the limitations of the traditional AODV protocol in VANETs.
3. Proposed Approach:
Centrality: In this section, we introduce the concept of centrality, which measures the importance of a node in a network. We propose to incorporate centrality metrics into the AODV routing protocol to select more influential nodes as relays, thereby improving the overall network performance.
Cognitive Differences: We also propose to consider cognitive differences among vehicles in the routing process. Each vehicle possesses distinct contextual information, such as location, speed, acceleration, and vehicle type. By leveraging this cognitive information, the routing decisions can be customized to adapt to the specific characteristics of each vehicle, leading to more efficient and personalized routing paths.
4. Implementation:
This section describes the implementation details of the proposed improvements to the AODV routing protocol. It discusses the modifications made to the existing AODV protocol and the algorithms used to calculate centrality metrics and incorporate cognitive differences.
5. Evaluation and Results:
In this section, we present the evaluation results of our proposed enhancements. We compare the performance of the improved AODV protocol with the traditional AODV protocol in terms of metrics such as packet delivery ratio, end-to-end delay, and throughput. We also analyze the impact of centrality and cognitive differences on the overall network performance.
6. Discussion and Future Work:
We discuss the limitations and future directions of our proposed improvements. We highlight the need for further research on dynamic centrality calculation, considering mobility patterns, and developing intelligent routing schemes based on cognitive differences.
7. Conclusion:
This paper presents an improved version of the AODV routing protocol in VANETs by incorporating centrality and cognitive differences. The proposed enhancements aim to enhance the scalability, efficiency, and reliability of communication in VANETs. The evaluation results demonstrate the effectiveness of the proposed improvements, paving the way for future research in this direction.
Keywords: VANETs, AODV, centrality, cognitive differences, routing protocol.
References: (Include relevant references in APA format)
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