Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network

D Sunitha, KR Balmuri, RP de Prado… - Transactions on …, 2023 - Wiley Online Library
Abstract In recent trends, Cognitive Radio Sensor Networks (CRSNs) are investigated in‐
depth and getting momentum in all types of applications. CRSN can make use of the …

Distributed artificial intelligence empowered sustainable cognitive radio sensor networks: A smart city on-demand perspective

L Manman, P Goswami, P Mukherjee… - Sustainable Cities and …, 2021 - Elsevier
Smart cities are claimed to be smart if the new technologies are capable of providing desired
sustainable outcome. The sustainable properties of smart city applications require less …

A novel method for spectrum sensing in cognitive radio networks using fractional GWOCS optimization

K Kannan, B Yamini, FMH Fernandez… - Ad Hoc Networks, 2023 - Elsevier
The co-channel interference and radio resources in a wireless communication system are
often systematically managed by employing Radio Resource Management (RRM) …

Hybrid Mexican axolotl and bitterling fish optimization algorithm-based spectrum sensing multi‑hop clustering routing protocol for cognitive sensor networks

C Balasubramanian, G Sathya, R Praveen - Scientific Reports, 2024 - nature.com
In clustered cognitive radio sensor networks (CRSNs), availability of free channels, spectrum
sensing and energy utilization during clustering and cluster head (CH) selection is essential …

An Efficient Communication and Computation Resources Sharing in Information-Centric 6G Networks

M Imran, MN Ali, MSU Din… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
To efficiently allocate communication and computation resources among enhanced Mobile
Broadband (eMBB) and ultra–Reliable Low Latency Communication (uRLLC) applications …

[PDF][PDF] 挺进深蓝: 从单体仿生到群体智能

陈健瑞, 王景璟, 侯向往, 方政儒, 杜军, 任勇 - 电子学报, 2021 - ejournal.org.cn
**年来, 群体智能作为一项多学科融合的新技术在各领域的研究成果斐然, 例如共享出行,
蜂群无人机系统, 水下多智能体**台等, 但与水下场景结合的群体智能技术缺乏系统的归纳 …

Multiconstrained ascent trajectory optimization using an improved particle swarm optimization method

M Lin, ZH Zhang, H Zhou, Y Shui - International Journal of …, 2021 - Wiley Online Library
This paper researches the ascent trajectory optimization problem in view of multiple
constraints that effect on the launch vehicle. First, a series of common constraints that effect …

[PDF][PDF] An Energy-E Cient Spectrum Sensing in Cognitive Radio Network Using Fractional Optimization Model

P Hipparge, SS Jawaligi - 2021 - scholar.archive.org
In wireless communication, the main challenge is to use the radio spectrum efficiently. The
spectrum used for wireless radio technology is a natural resource that is limited and …

Scheduling control method of Internet of things data uplink based on TS algorithm

ZL Wang - Web Intelligence, 2022 - content.iospress.com
In order to ensure the efficiency of link scheduling control and improve the accuracy and
energy efficiency of scheduling control, a scheduling control method for Internet of things …

An Optimized Neural Network with Inertia Weight Variation of PSO for the detection of Autism

C Jayakumaran, JD Sweetlin - 2020 International Conference …, 2020 - ieeexplore.ieee.org
Neural Networks is applied for solving diverse number of problems involving classification,
clustering and prediction of outcomes that forms the basis for resolving Artificial Intelligence …