Yousef Jaradat^*, Mohammad Masoud, Ismael Jannoud, Dema Zeidan

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 791-808, 2022, DOI:10.32604/iasc.2022.024218

Abstract Optimal node clustering in wireless sensor networks (WSNs) is a major issue in reducing energy consumption and extending network node life time and reliability measures. Many techniques for optimizing the node clustering process in WSN have been proposed in the literature. The metaheuristic algorithms are a subset of these techniques. Genetic algorithm (GA) is an evolutionary metaheuristic technique utilized to improve the network reliability and extending the network life time by optimizing the clustering process in the network. The GA dynamic clustering (GA-DC) algorithm is proposed in this paper to extend the network reliability and node life time of three… More >

Yuan Li^1,7, Jiaxuan Xie¹, Mu Xia², Qianqian Li³, Meng Li⁴, Lei Guo^5,*, Zhen Zhang⁶

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3619-3628, 2021, DOI:10.32604/cmc.2021.016187

Abstract The goal of delivering high-quality service has spurred research of 6G satellite communication networks. The limited resource-allocation problem has been addressed by next-generation satellite communication networks, especially multilayer networks with multiple low-Earth-orbit (LEO) and non-low-Earth-orbit (NLEO) satellites. In this study, the resource-allocation problem of a multilayer satellite network consisting of one NLEO and multiple LEO satellites is solved. The NLEO satellite is the authorized user of spectrum resources and the LEO satellites are unauthorized users. The resource allocation and dynamic pricing problems are combined, and a dynamic game-based resource pricing and allocation model is proposed to maximize the market advantage… More >

Meng-Wei Lin¹, Feng Yang^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 123-124, 2019, DOI:10.32604/mcb.2019.07343

Abstract This article has no abstract. More >