Energy–Efficient Distribution of Resources in Cyber-Physical Internet
Taking into account energy efficiency and channel allocation, the communication structure is thoroughly investigated, including 5G/6G-enabled CPS–IoT. The resource allocation
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Taking into account energy efficiency and channel allocation, the communication structure is thoroughly investigated, including 5G/6G-enabled CPS–IoT. The resource allocation
To optimize the energy efficiency resource allocation problem (NP-hard) in the ultra-dense network (UDN), we design a deep reinforcement learning framework to dynamically and
Using a model with a central controller, sensors, and actuators, this research explores the complex dynamics of cyber-physical systems (CPS) and the Internet of Things (IoT) in industrial
Leveraging the flexibility of Network Virtualization technology in decoupling network functions and resources, this work proposes a Multi-Domain Virtual Network Embedding algorithm
For an MEC system with energy harvesting devices, how to make appropriate computation and communication resources allocation policy is still challenging. In this paper, we proposed a time
This challenge imposes additional costs on the system, including energy consumption and delay. Therefore, in the context of the Industrial Internet,
Literature studied the energy consumption of the uplink, and proposes a NOMA technology based on edge computing perception, which minimizes the energy consumption of MEC
This paper proposes an energy-optimized uplink resource allocation framework for 6G massive Internet of Things (IoT) networks assisted by a Simultaneous Transmitting and Reflecting...
Due to the rapid development of the mobile Internet and the Internet of Things (IoTs), the requirements of users and enterprises for data transmission have increased exponentially. Non
Explore energy-efficient algorithms that minimize energy consumption while maintaining desired levels of service quality and network performance. Security-aware resource allocation: Investigate resource
The total energy consumption of the proposed resource allocation algorithm is only about 9 percent higher than that of the power minimization algorithm.
Therefore, this paper studies the resource allocation methods for these two typical scenarios, and proposes an energy-efficient resource allocation method by using DRL algorithm,
The energy cost minimization for mission-critical internet-of-things (IoT) in mobile edge computing (MEC) system is investigated in this work. Therein, short data packets are transmitted
Abstract and Figures The present research investigates optimizing energy-efficient computing environments through dynamic resource allocation in
For the past few years, the IoT (Internet of Things)-based restricted WSN (Wireless sensor network) has sparked a lot of attention and progress in
Internet of Things (IoT) is an emerging networking paradigm that enhances smart device communications through Internet-enabled systems. Due to massive IoT devices connectivity with
The switching- based machine learning model allows finite allocation of appropriate resources and dynamic selection in e-healthcare applications. The energy-aware modelling allows
Non-orthogonal multiple access technology can improve the spectrum efficiency of the system, but it also brings huge energy consumption. This paper studies the resource allocation of
Abstract: The rise of the Industrial Internet of Things (IIoT) has led to latency-sensitive, computation-intensive applications. While cloud computing provides abundant resources,
The Internet of Things has proliferated, and the number of devices integrated into intelligent networks has made resource management and allocation one of the most critical challenges.
This manuscript introduces a decisive energy management scheme for optimal resource allocation and offloading along with energy constraints. This scheme handles both the allocation and energy-cost in
The work aims to improve the stability of wireless energy transfer (WET) in the Internet of Things (IoT), prolong the service life of wireless devices, and promote green communication. Based on a digital
We formulate a task split problem with communication and computation resource allocation (SCC) to minimize the L-IoT energy consumption. We proposed an alternating optimization for split ratio and
Fog computing addresses this challenges in a decentralised manner. This paper proposes an efficient resource allocation and management strategies with energy
This paper analyzes the resource allocation effect of the Energy Internet through four theoretical analysis frameworks: Cournot model, time and space heterogeneity, information
Energy-Efficient Resource Allocation for Space–Air–Ground Integrated Industrial Power Internet of Things Network