Congestion centric multi‐objective reptile search algorithm‐based clustering and routing in cognitive radio sensor network
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 …
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
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 …
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
The co-channel interference and radio resources in a wireless communication system are
often systematically managed by employing Radio Resource Management (RRM) …
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
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 …
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
To efficiently allocate communication and computation resources among enhanced Mobile
Broadband (eMBB) and ultra–Reliable Low Latency Communication (uRLLC) applications …
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
**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 …
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 …
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 …
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 …
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 …
clustering and prediction of outcomes that forms the basis for resolving Artificial Intelligence …