IoT sensor networks (ISNs) have gained significant attention due to their broad applicability in various fields. One crucial aspect in ISNs is the efficient utilization of network resources, including energy, latency,...
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The future power system will be an innovative administration of existing power grids, which is called smart grid. Above all, the application of advanced communication and computing tools is going to significantly impr...
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The proceedings contain 38 papers. The topics discussed include: automated pattern-based recommendation for improving API operation performance and reliability in cloud-based architectures;the ultimate battle against ...
ISBN:
(纸本)9798350340754
The proceedings contain 38 papers. The topics discussed include: automated pattern-based recommendation for improving API operation performance and reliability in cloud-based architectures;the ultimate battle against zero-day exploits: toward fully autonomous cyber-physical defense;automatically refactoring application transactions for microservice-oriented architecture;goal-driven adversarial search for distributed self-adaptive systems;analyzing and researching the intermediate layer of alliance medical data combined with edge computing;predicting road traffic risks with CNN-and-LSTM learning over spatio-temporal and multi-feature traffic data;Chat2Code: a chatbot for model specification and code generation, the case of smart contracts;a workflow for the continuous deployment of quantum services;and connecting cloud computing and machine learning through functional situation-awareness: a user-centric smart monitoring application.
Publish/subscribe systems are widely used as messaging middleware in various scenarios, such as online business, financial trading, and social media. However, the network overhead intro-duced by the pub/sub system can...
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The virtual skin system is an enabling component for the applications and services in the Metaverse. Traditional virtual skin systems are usually designed with a unified style, which can still be improved to meet cust...
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Cluster networks are very essential in the field of WS networks to cut down the energy ingestion in overall nodes present in distributed randomized networks. Clustering approach is more appropriate technique for energ...
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Catalyzed by the popularity of blockchain technology, there has recently been a renewed interest in the design, implementation and evaluation of decentralized systems. Most of these systems are intended to be deployed...
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The proceedings contain 135 papers. The topics discussed include: comprehensive Seq2Seq attention model for typhoon trajectory forecasting;agile C2 system model based on blockchain;a BERT-based active defense mechanis...
ISBN:
(纸本)9798350337181
The proceedings contain 135 papers. The topics discussed include: comprehensive Seq2Seq attention model for typhoon trajectory forecasting;agile C2 system model based on blockchain;a BERT-based active defense mechanism for terminal access;research on survivability of intelligent combat network based on composite virtual link;deep semantic understanding and accurate classification of public interest litigation case texts;an innovative similar complaint recommendation model integrating semantic and graph embeddings;dim target detection algorithm based on multi-scale feature enhancement;research on data storage security in cloud computing environment;LazyDB: I/O optimization of blockchain storage system based on non-volatile memory;an efficient conditional privacy-preserving scheme for smart parking sharing;and protection of express information using parallel computing.
The paper presents a novel approach to address the problem of lifetime maximization in Wireless sensor Networks (WSNs) with limited initial energy constraints. The authors introduce a scheduling approach called Non-di...
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In recent years, wireless sensor networks have been deployed on a large scale. Their ability to capture information and transmit it has made them key players in the smart city and industry. Most often, data streamed f...
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ISBN:
(数字)9781728186719
ISBN:
(纸本)9781728186719
In recent years, wireless sensor networks have been deployed on a large scale. Their ability to capture information and transmit it has made them key players in the smart city and industry. Most often, data streamed from sensor nodes are collected in a centralized cloud to form a vector of features. They are then used to make future predictions using advanced machine learning (ML) techniques such as Deep Learning (DL). Due to the increasing volumes of data being collected and transmitted over the network, this approach turns out to have a high communication cost, which wastes energy and often saturates the network. In this work, we study an alternative approach that enables collaborative inference throughout the network devices (edge, fog and cloud). Our proposition consists of a fuzzy logic controller which will decide at what level of the network (edge, fog or cloud) the inference should be carried out. Three parameters are taken into account to make this decision: the available energy level of the edge device (smart node), the available network bandwidth and the amount of available data for inference. This work presents preliminary results achieved with the proposed approach using generated configuration input data. We show that the implementation of our controller on edge devices (smart nodes) that run RNN-LSTM for multivariate time series predictions can reduce their energetic cost by around 50%.
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