Journal of Information and Telecommunication

Pejman Goudarzi

Farima Ayatollahi

Jaime Lloret

Energy-efficient joint performance optimization of cloud data centre users/operator using memetic algorithm

使用模因算法的云数据中心用户/运营商能效联合性能优化

Wided Hadj Alouane

Chan-Wang Park

Partial relay selection for secure cooperative NOMA networks

安全协作NOMA网络的部分中继选择

In this work, a group of unmanned aerial vehicles (UAVs) is aimed to function as relay nodes that provide a multi-hop wireless link between ground users. The communication route between the sender and receiver is established with awareness of the link path loss between the cooperating UAV relay nodes. Then, Dijkstra's shortest path algorithm is used to find the optimal route that has the minimum total path loss among all other possible routes. MATLAB simulation results show a high-performance gain when using Dijkstra's algorithm for establishing the communication route compared with the baseline approach in which the route is formed based on the shortest-distance path through the UAV relay nodes. It is worth mentioning that both shadow fading and nonfading radio environments were taken into account. Moreover, the performance is further improved when the standard deviation of shadow fading increases. The work also investigates the probability of selecting each of the UAV nodes in forming the multi-hop link considering the total simulated realizations. Here, it is shown that more variability is observed in the indexes of the traversed UAV nodes when routeing through a random fading environment compared to a nonfading environment.

Beza Negash Getu

Ali Alnoman

Wireless routeing scheme for UAV-assisted access networks based on the link path loss

基于链路路径损耗的无人机辅助接入网络无线路由方案

Farah Farjallah

Houssem Eddine Nouri

Olfa Belkahla Driss

Multi-agent model-based intensification-driven tabu search for solving the dual-resource constrained flexible job shop scheduling

基于多智能体模型的强化驱动的禁忌搜索方法用于解决双资源约束柔性作业车间调度问题

Niaz Ashraf Khan

A. M. Saadman Rafat

Pruning convolution neural networks using filter clustering based on normalized cross-correlation similarity

基于归一化互相关相似性的滤波器聚类修剪卷积神经网络

Dai Tho Dang

Dosam Hwang

Consensus-based methods for distributed systems, blockchain, and voting: a survey

基于共识的分布式系统、区块链和投票方法综述

Abbreviation	J. Inf. Telecommun.
Journal Impact	2.64
Quartiles(Global)	TELECOMMUNICATIONS(Q3)

ISSN	2475-1839, 2475-1847
h-index	16

Publication Information	Publisher: Taylor and Francis Ltd.，Publishing cycle: ，Journal Type: journal，Open Access Journals: Yes
Basic data	Year of publication: 2017，Proportion of original research papers: 100.00%，Self Citation Rate:3.70%， Gold OA Rate: 97.92%
Journal Fees	$Details
Average review cycle	网友分享经验：27 Weeks

Journal of Information and Telecommunication

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Energy-efficient joint performance optimization of cloud data centre users/operator using memetic algorithm

Partial relay selection for secure cooperative NOMA networks

Wireless routeing scheme for UAV-assisted access networks based on the link path loss

Multi-agent model-based intensification-driven tabu search for solving the dual-resource constrained flexible job shop scheduling

Pruning convolution neural networks using filter clustering based on normalized cross-correlation similarity

Energy-efficient joint performance optimization of cloud data centre users/operator using memetic algorithm

Partial relay selection for secure cooperative NOMA networks

Multi-agent model-based intensification-driven tabu search for solving the dual-resource constrained flexible job shop scheduling

Wireless routeing scheme for UAV-assisted access networks based on the link path loss

Consensus-based methods for distributed systems, blockchain, and voting: a survey