Journal Article10.1002/DAC.4895
A survey on nature-inspired algorithms and its applications in the Internet of Vehicles
Surbhi Sharma,Baijnath Kaushik +1 more
11
TL;DR: Based upon the study conducted, it has been analyzed that nature‐inspired algorithms can optimize the overall performance of IoV networks.
read more
About: This article is published in International Journal of Communication Systems. The article was published on 01 Aug 2021. The article focuses on the topics: The Internet & Routing (electronic design automation).
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
•Posted Content
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization
TL;DR: Experimental results over multiple images with different range of complexity validate the efficiency of the proposed technique with regard to segmentation accuracy, speed, and robustness and demonstrate a better performance from the proposed algorithm.
82
Cryptographic Solution-Based Secure Elliptic Curve Cryptography Enabled Radio Frequency Identification Mutual Authentication Protocol for Internet of Vehicles
TL;DR: In this paper, the authors proposed a Cryptographic solution-based secure ECC-enabled RFID mutual authentication protocol for Internet of Vehicles (IoV) which is comprised of three phases: Setup Phase, Tag Authentication Phase, and Server Authentication Phase.
Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions
Easa Alalwany,Imad Mahgoub +1 more
- 08 Jan 2024
TL;DR: An overview of IoV and trust management is explored, a classification scheme for ML techniques is introduced, and ML-based security and trust management schemes are introduced, providing insights into the future of trust and security enhancement.
20
A Novel Spider Monkey Optimization for Reliable Data Dissemination in VANETs Based on Machine Learning
Deepak Gupta,Rakesh Rathi +1 more
- 06 Apr 2024
TL;DR: A novel, weighted, estimated, spider monkey-based, nature-inspired optimization (w-SMNO) method to generate a set of efficient relays and introduces a dynamic weight assignment and configuration model to enhance system accuracy using a neural network based on backpropagation with gradient descent optimization techniques to minimize errors in the machine learning model.
5
Trans-UTPA: PSO and MADDPG based multi-UAVs trajectory planning algorithm for emergency communication
TL;DR: In this paper , the authors proposed a Trans-UTPAE algorithm based on MAPPO 's policy network and value function and introduced transformer model to make Trans-PAE's policy learning have no action space limitation and can be multi-task parallel.
4
References
F-Ant: an effective routing protocol for ant colony optimization based on fuzzy logic in vehicular ad hoc networks
TL;DR: This paper proposes an enhanced framework for ACO protocol based on fuzzy logic for VANETs, and demonstrates that the proposed protocol achieves high data packet delivery ratio and low end-to-end delay compared to traditional routing algorithms such as ACO and ad hoc on-demand distance vector.
63
A Genetic Algorithm Approach to Autonomous Smart Vehicle Parking system
Diya Thomas,Binsu C. Kovoor +1 more
TL;DR: A genetic algorithm approach has been taken to address the issue of scheduling the vehicle to the parking bay of shopping mall by proposing a new prototype for the smart vehicle parking system.
61
A survey on internet of vehicles: applications, technologies, challenges and opportunities
M. K. Priyan,G. Usha Devi +1 more
TL;DR: Various challenges and issues in modern IoT, IoV, and IoE system are discussed and various open research problems are identified in this paper.
60
Nature-inspired optimization algorithms: Challenges and open problems
TL;DR: Some challenging issues are identified and five open problems are highlighted, concerning the analysis of algorithmic convergence and stability, parameter tuning, mathematical framework, role of benchmarking and scalability, with the directions for future research.
58
Adaptation and Hybridization in Nature-Inspired Algorithms
Iztok Fister,Damjan Strnad,Xin-She Yang +2 more
- 01 Jan 2015
TL;DR: Algorithms that can be placed under the umbrella of computational intelligence are described from the viewpoint of adaptation and hybridization so as to show that these mechanisms are simple to develop and yet very efficient.
56