A5057553287- IoT and Edge/Fog Computing
- Age of Information Optimization
- Privacy-Preserving Technologies in Data
- Advanced Data and IoT Technologies
- Power Line Communications and Noise
- Network Time Synchronization Technologies
- Advanced Wireless Communication Technologies
- Smart Grid Security and Resilience
- Energy Harvesting in Wireless Networks
- Traffic Prediction and Management Techniques
- Blockchain Technology Applications and Security
- Wireless Communication Security Techniques
- Energy Efficient Wireless Sensor Networks
- UAV Applications and Optimization
- Smart Parking Systems Research
- Context-Aware Activity Recognition Systems
- IoT Networks and Protocols
- Digital Transformation in Industry
North China Electric Power University
2020-2025
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources
2023
State Grid Corporation of China (China)
2022
Cloud-edge-end collaboration enables harmonious and efficient resource allocation for the Power Internet of Things (PIoT). However, security complexity issues computation offloading evolve into main obstacles. In this article, we first propose a blockchain AI-based secure cloud-edge-end PIoT (BASE-PIoT) architecture to ensure data intelligent offloading. Its advantages in flexible allocation, sharing, differentiated service guarantee are elaborated. Then adaptability three typical...
The integration of digital twin (DT) and 6G edge intelligence provides accurate forecasting for distributed resources control in smart park. However, the adverse impact model poisoning attacks on DT training cannot be ignored. To address this issue, we firstly construct models attacks. An optimization problem is formulated to minimize weighted sum loss function delay. Then, transformed solved by proposed Multi-timescAle endogenouS securiTy-aware DQN-based rEsouRce management algorithm...
Large scale deployment of Internet Things (IoT) devices poses challenges in resource allocation. In this paper, alternating direction method multipliers (ADMM) is adopted to solve such large allocation problems. Based on this, three optimization problems are investigated a hierarchical IoT network. Considering ADMM could not non-convex problem directly, fractional programming i.e., energy efficiency maximization for region server, formulated. Faced with problem, we introduce the Dinkelbach...
Integrated terrestrial and non-terrestrial power internet of things (IPIoT) has emerged as a paradigm shift to three-dimensional vertical communication networks for systems in the 6G era. Computation offloading plays key roles enabling real-time data processing analysis electric services. However, computation IPIoT still faces challenges coupling between task resource allocation, heterogeneity dynamics, degraded model training caused by electromagnetic interference (EMI). In this article, we...
Power Internet of Things devices deployed in smart parks have strict time synchronization requirements. However, due to the limited availability 4-G/5-G, optical fiber, and satellite, how achieve low-cost, reliable, efficient based on existing power line carrier (PLC) two-way frequency automatic communication system (TWACS) integrated multimodal has become a key challenge. Motivated by this, cluster-based network structure is proposed that seamlessly integrates PLC TWACS, which provides an...
With the development of smart grid, massive electric Internet Things (EIoT) devices are deployed to collect data and offload them edge servers for processing. However, task offloading optimization still faces several challenges, such as differentiated quality service (QoS) requirements, decision coupling among multiple devices, impact electromagnetic interference. In this paper, a low-complexity delay energy-efficiency-balanced algorithm based on many-to-one two-sided matching is proposed an...
The consistent response of distributed resources in smart parks needs accurate time synchronization as support. Clustering-based approaches assisted by power line communication (PLC) systems can realize efficient and low-cost massive internet things (PIoT) devices parks. However, the existing error models are not adapted to standard beacon-based PLC method, dynamic changes topology channel gain lead difficulties optimizing clusters. To address these challenges, we develop a clustering-based...
Power Line Communications-Artificial Intelligence of Things (PLC-AIoT) combines the low cost and high coverage PLC with learning ability AI to provide data collection transmission capabilities for PLC-AIoT devices in smart parks. With development parks, their emerging services require secure accurate time synchronization devices. However, impact attackers on accuracy cannot be ignored. To solve aforementioned problems, we propose a tampering attack-aware Deep Q-Network (DQN)-based algorithm....
The integration of air-ground electricity internet things (AGE-IoT) and machine learning, enables flexible network coverage intelligent task offloading. However, dynamics AGE-IoT networks, incomplete information, resource allocation coupling are still major challenges in achieving AGE-IoT. In this paper, we investigate a joint multi-timescale offloading power control optimization problem to minimize the queuing delay all EIoT devices under long-term constraint energy consumption. We firstly...
Abstract The green internet of things with heterogeneous communication technologies can provide data transmission and computing services for low‐carbon operation smart buildings. However, latency‐sensitive task offloading in buildings multi‐mode still faces several challenges such as coupling between channel multiple gateway selection, diversified quality service requirement guarantee, contradiction long‐term performance guarantee short‐term optimisation objectives. To address these...
Device scheduling plays a key role in federated learning model training for energy management low-carbon smart park. It is intuitive to achieve high-accuracy and low-latency by devices with smaller local loss function better channel condition. However, the adverse impact of poisoning attack on performance device adjustment cannot be neglected. The error parameters uploaded malicious attackers-controlled significantly reduce accuracy convergence speed. To address this challenge, we propose an...