This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
Blockchain Based Decentralized and Proactive Caching Strategy in Mobile Edge Computing Environment
In the mobile edge computing (MEC) environment, the edge caching can provide the timely data response service for the intelligent scenarios. However, due to the limited storage capacity of edge nodes and the malicious node behavior, the question of how ...
Jingpan Bai, Silei Zhu, Houling Ji
doaj +1 more source
Efficient Caching for Data-Driven IoT Applications and Fast Content Delivery with Low Latency in ICN
Edge computing is a key paradigm for the various data-intensive Internet of Things (IoT) applications where caching plays a significant role at the edge of the network.
Kamrul Hasan, Seong-Ho Jeong
doaj +1 more source
Spatio-Temporal Motifs for Optimized Vehicle-to-Vehicle (V2V) Communications
Caching popular contents in vehicle-to-vehicle (V2V) communication networks is expected to play an important role in road traffic management, the realization of intelligent transportation systems (ITSs), and the delivery of multimedia content across ...
Saad, Walid +2 more
core +1 more source
Joint and Competitive Caching Designs in Large-Scale Multi-Tier Wireless Multicasting Networks [PDF]
Caching and multicasting are two promising methods to support massive content delivery in multi-tier wireless networks. In this paper, we consider a random caching and multicasting scheme with caching distributions in the two tiers as design parameters ...
Cao, Zhehan +3 more
core +2 more sources
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Content Caching and Delivery over Heterogeneous Wireless Networks
Emerging heterogeneous wireless architectures consist of a dense deployment of local-coverage wireless access points (APs) with high data rates, along with sparsely-distributed, large-coverage macro-cell base stations (BS).
Diggavi, Suhas +2 more
core +1 more source
Agricultural Injuries With Dementia: Double Whammy?
ABSTRACT Background Nearly 40% of US farmers are over 65 years old. Some emerging evidence links agricultural occupational exposure to increased dementia risk. However, little is known about dementia and injury outcomes in agricultural settings. Methods We employed data from the American College of Surgeons Trauma Quality Programs Participant Use File (
Kanika Arora +3 more
wiley +1 more source
Dynamic Probabilistic Caching Algorithm with Content Priorities for Content‐Centric Networks
This paper presents a caching algorithm that offers better reconstructed data quality to the requesters than a probabilistic caching scheme while maintaining comparable network performance.
Warit Sirichotedumrong +3 more
doaj +1 more source
Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN
This paper presents a content-centric transmission design in a cloud radio access network (cloud RAN) by incorporating multicasting and caching. Users requesting a same content form a multicast group and are served by a same cluster of base stations (BSs)
Chen, Erkai +3 more
core +1 more source

