Optimization of drones communication by using meta-heuristic optimization algorithms

Shah, A. F. M. Shahen; Karabulut, Muhammet Ali

doi:10.14744/sigma.2022.00009

Cited by 6 publications

(6 citation statements)

References 13 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the need for high-data-rate requiring wireless communication, UAVs or drones will also play a crucial role in achieving this and are expected to be part of the future 6G mobile networks, see e.g., [114], [115], [116], [117], [119], [120] and the references therein. Here, blockchain has a significant opportunity to secure drone security and privacy and the information they gather [121].…”

Section: ) Unmanned Aerial Vehicles (Uav)mentioning

confidence: 99%

On the Vital Aspects and Characteristics of Cryptocurrency—A Survey

et al. 2023

View full text Add to dashboard Cite

Cryptocurrencies acquire user confidence by making the whole creation and transaction history transparent to the public. In exchange, the transaction history accurately captures the complete range of user activities related to cryptocurrencies. It is thought to be one of the safest and simplest payment methods that may be employed in the future. The trend of banks and other financial institutions investing in cryptocurrencies has increased rapidly in recent years. Therefore, it is necessary to synthesize the findings of previous studies on cryptocurrencies. In this paper, the use of data mining methods in Bitcoin transactions is analyzed and summarized. Cryptocurrencies, similar to the well-known Bitcoin, were targeted to ensure transaction security and privacy and overcome the drawbacks of traditional banking systems as well as other centralized systems. In addition, a comprehensive analysis of the literature on the challenges and applications of electronic currencies is conducted. The evolution of digital currency from electronic cash to cryptocurrencies is summarized and the methods used to increase user privacy are highlighted. The security threats in existing cryptocurrency systems (that compromise the privacy of Bitcoin users) are also highlighted. Finally, several research gaps and trends are identified that need to be further explored.INDEX TERMS Cryptocurrencies, electronic cash, privacy, security threats.

show abstract

Section: ) Unmanned Aerial Vehicles (Uav)mentioning

confidence: 99%

On the Vital Aspects and Characteristics of Cryptocurrency—A Survey

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Due to the need for high-data-rate requiring wireless communication, UAVs or drones will also play a crucial role in achieving this and are expected to be part of the future 6G mobile networks, see e.g., [117][118][119][120][121][122][123] and the references therein. Here, blockchain has a significant opportunity to secure drone security and privacy and the information they gather [124].…”

Section: ) Unmanned Aerial Vehicles (Uav)mentioning

confidence: 99%

On the Vital Aspects and Characteristics of Cryptocurrency – A Survey

Shah¹,

Karabulut²,

AKHTER³

et al. 2023

Preprint

View full text Add to dashboard Cite

<p> Cryptocurrencies acquire user confidence by making the whole creation and transaction history transparent to the public. In exchange, the transaction history accurately captures the complete range of user activities related to cryptocurrencies. In this paper, the use of data mining methods in Bitcoin transactions is analyzed and summarized. Cryptocurrencies, similar to the well-known Bitcoin, were targeted to ensure transaction security and privacy and overcome the drawbacks of traditional banking systems as well as other centralized systems. We also conduct a thorough analysis of the literature on the challenges and applications of electronic currencies. We outline the evolution of digital currency from electronic cash to cryptocurrencies and put the spotlight on the methods used to increase user privacy. We also highlight security threats in the existing cryptocurrency systems that jeopardize the privacy of Bitcoin users. Finally, we identify several research gaps and trends that need to be looked at further. </p>

show abstract

“…However, this method cannot find the optimal coverage solution. As people pay more and more attention to network security, in [30], Shah et al proposed three different meta-heuristic algorithms: the cuckoo search algorithm (CUCO), the differential evolution algorithm (DEA) and the bee algorithm. The HBA is used to optimize FANET to improve throughput as well as reduce PDR and delay in order to improve communication quality and reliability.…”

Section: Related Workmentioning

confidence: 99%

“…Shah et al [30] 2022 CUCO, DEA, HBA Three different metaheuristic optimization algorithms were used to obtain the relationships between parameters based on Markov chain analysis studies.…”

Section: Related Workmentioning

confidence: 99%

A Niche Adaptive Elite Evolutionary Algorithm for the Clustering Optimization of Intelligent Unmanned Agricultural Unmanned Aerial Vehicle Swarm Collaboration Networks

Zhong,

Zhou,

Zhang

2023

Applied Sciences

View full text Add to dashboard Cite

Nowadays, the intelligent unmanned agricultural unmanned aerial vehicle (UAV) swarm collaboration network (AUSCN) has fully demonstrated its advantages in agricultural monitoring and management. By using an AUSCN, multi-machine cooperation can be realized to expand the detection range, and more complex tasks can be completed without human participation, so as to improve work efficiency and reduce the consumption of manpower and material resources. In AUSCNs, clustering is a key method to lower energy consumption. However, there is a challenge to select cluster heads in AUSCNs because of the limitation of transmission distances and the complexity of network topological structures. In addition, this problem has been confirmed as NP-hard. In this paper, a new niche adaptive elite evolutionary algorithm (NAEEA) is proposed to solve this problem. NAEEAs can search within various complicated stochastic situations at high speeds with characterized high precision and fast convergence. This algorithm integrates the merits of elite selection and adaptive adjusting to achieve high performance. In NAEEAs, a new adaptive operator is designed to speed up the convergence rate, while a novel elite operator is proposed to avoid local optima and raise the exploration ability. Furthermore, a new niche operator is also proposed to increase the population diversity. The simulation results show that, compared with an evolutionary algorithm (EA), a simulated annealing algorithm (SA) and a leapfrog algorithm (SFLA), clustering energy consumption based on an NAEEA is significantly reduced, and the network energy consumption of the AUSCN is up to 21.43%, 25.00% and 25.76% lower than the other three algorithms, respectively.

show abstract

Optimization of drones communication by using meta-heuristic optimization algorithms

Cited by 6 publications

References 13 publications

On the Vital Aspects and Characteristics of Cryptocurrency—A Survey

On the Vital Aspects and Characteristics of Cryptocurrency—A Survey

On the Vital Aspects and Characteristics of Cryptocurrency – A Survey

A Niche Adaptive Elite Evolutionary Algorithm for the Clustering Optimization of Intelligent Unmanned Agricultural Unmanned Aerial Vehicle Swarm Collaboration Networks

Contact Info

Product

Resources

About