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Dynamic Data Rate Prediction Based on Congestion Severity in Wireless Body Area Networks 3

Dynamic Data Rate Prediction Based on Congestion Severity in...

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3rd international conference on Advances in computing, Communication, Embedded and Secure systems, ACCESS 2023

作者： Mekathoti, Vamsi Kiran Nithya, B. Subasri, S. Bhuvana Chandra, P. National Institue of Technology Department of Computer Science Trichy India

ISBN: (纸本)9798350346169

Wireless Body Area Network (WBAN) is a vital application of IoT and EDGE technologies, which enable remote patient monitoring by transmitting real-time health data to a hospital server. WBAN faces congestion as a severe threat due to its delay sensitivity, which leads to the loss of essential data. To address this issue, this paper proposes a Dynamic Datarate Prediction Based on Congestion Severity (DPCS) in Wireless Body Area Networks which categorizes sensor nodes as normal or critical, based on the patient's health status. The data flow from these sensors is efficiently regulated with the aid of the critical function with four parameters such as buffer size, queue size, remaining energy of the node, and channel bandwidth. With these dynamic run time parameters, the proposed critical function yields four thresholds to predict the congestion severity. The proposed technique predicts an optimal data rate based on the node priority and the severity of the congestion, as opposed to having a constant data rate for all types of sensors. The proposed algorithm is simulated and its performance is compared with the existing algorithms in terms of throughput, packet loss ratio, remaining energy, and packet delivery ratio. © 2023 ieee.

关键词： sensor nodes

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Cloud-Enhanced Transfer Learning Framework for Medical Image Analysis: Advancing Diagnostic Speed and Accuracy in Healthcare 3

Cloud-Enhanced Transfer Learning Framework for Medical Image...

引用

3rd international conference on Integrated Circuits and Communication systems, ICICACS 2025

作者： Prabu, S. Chandra, N. Subhash Bhavani, M. Varma, V. K. Chaitanya Soni, Mukesh Mahendra Institute of Technology Department of Electronics and Communication Engineering Namakkal India Cvr College of Engineering Department of Computer Science and Engineering Mangalpalle India Rajalakshmi Institute of Technology Department of Artificial Intelligence and Data Science Chennai India Sagi Rama Krishnam Raju Engineering College Department of Mechanical Engineering Bhimavaram India Dr. D. Y. Patil Vidyapeeth Dr. D. Y. Patil School of Science & Technology Pune India

ISBN: (纸本)9798331508456

When it comes to medical image analysis, problems arise due to the scarce amount of data and computational resources in medical environments. This is because, as earlier stated, cloud settings demand efficient models capable of delivering more reliable diagnostic results without straining the cloud's computing resources. In this work, we presented a transfer learning based on DenseNet-201 as well ResNet-152 architectures with a new large dataset containing 15,000 medical images of different modality. By utilizing the distributed cloud computing and hypermeters precision strategy, the proposed model was found to have 95.8 % of accuracy, 94.2% sensitivity, and 96.3%specificity. It also reduced the processing time by sixty-eight percent over standard methods across the facilities. Five different datasets validated the proposed approach, achieving an external accuracy of 92.4%, indicating improved generalization performance. The enhancement of accuracy to approximately 90% and the reduction in required computation demonstrate its feasibility for extensive clinical applications on the cloud, spanning across hospitals. © 2025 ieee.

关键词： distributed cloud

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HATO-Deep LSTM: Hybrid Adaptive Trust Aware Optimization Enabled Deep Learning Classifier For Energy Efficient Routing And Attack Mitigation In IoT-WSN 3

HATO-Deep LSTM: Hybrid Adaptive Trust Aware Optimization Ena...

引用

3rd international conference on Communication, Control, and Intelligent systems, CCIS 2024

作者： Srivastava, Abhishek Paulus, Rajeev Shuats Department of Electronics and Communication Engineering Prayagraj India

ISBN: (纸本)9798331528201

The Internet of Things (IoT) is an emerging technology that gained significant attention in both academia as well as industry. It is a set of heterogeneous devices that are interconnected together for exchanging information between devices without any human intervention. Wireless sensor Network (WSN) plays a major core part in IoT that enables to generation of seamless data and influences network lifespan. Each device in the WSN is referred to as a sensor node that can detect and process the sensor data between sensor nodes. Routing plays a major role in saving energy, but energy conservation is a major issue in resource-constrained networks. Hence, this research designs a Hybrid Adaptive Trust aware optimization based on Deep Long Short-Term Memory (HATO-Deep LSTM) for selecting the optimal node as cluster head (CH) and optimally performing the routing strategy. The trust factors determine the trustworthiness of all the adjoining nodes through collaboration among nodes and this factor enables the optimization to obtain the global best solution feasibly. The deep learning classifier employed in this research is highly effective in detecting malicious nodes by avoiding false nodes entering the data communication path. The proposed model effectively detects the misbehaving nodes and thereby the network throughput is increased. The performance attained by the proposed model in terms of number of alive nodes, end-to-end delay, throughput, and normalized energy is reported as 76, 0.81ms, 0.29bps, and 0.38J respectively with 100 number of nodes. © 2024 ieee.

关键词： sensor nodes

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Cloud distributed Optimal Control of ESS-PV Residential Inverters 3

Cloud Distributed Optimal Control of ESS-PV Residential Inve...

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3rd international conference on Power systems and Electrical Technology, PSET 2024

作者： Kim, Byungchul Abed, Eyad H. University of Maryland Department of Electrical and Computer Engineering College ParkMD United States

ISBN: (纸本)9798350353204

Perfect power flow methods can be employed to choose which inverters will supply and determine their optimal real and reactive power settings based on financial goals. Utilizing advanced semidefinite relaxation make possible to work out with lessen calculation loads. Reflecting on the complex power inculcation originated by strong robustness and the high resilience of ESS-PV inverter, the steady state voltage security area (SSVSA) for inverter is created. The voltage expedition indicator for inverter is suggested to measure the voltage security limit between the security range and operation state. The suggested scheme balances beneficially to large distribution networks. © 2024 ieee.

关键词： cloud system Energy storage system (ESS) photovoltaic power flow voltage security

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Mitigating System Imbalance Using Enhanced Droop Control in Decentralized Microgrids 3

Mitigating System Imbalance Using Enhanced Droop Control in ...

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3rd ieee international conference on Control, Instrumentation, Energy and Communication, CIEC 2024

作者： Islam, Md Ashikul Mahin, Md Saidur Rashid Kabir, Shaharier Shufian, Abu Lamar University Dept. of Electrical Engineering TX United States American International University-Bangladesh Dept. of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350313703

Power imbalance poses a significant challenge in decentralized microgrids because of the dynamic nature of distributed Energy Resources (DERs) and varying load conditions. Conventional voltage droop control methods, while effective in maintaining voltage stability, may not adequately address voltage imbalances caused by unevenly distributed loads or variable generation profiles. This research investigates the implementation of enhanced voltage, power and frequency droop control strategies to mitigate voltage, power and frequency imbalances in decentralized microgrids. The study focuses on optimizing the droop control parameters and integrating supplementary control mechanisms to achieve improved voltage, power and frequency regulation and distribution among DERs. Simulation-based analysis and experimental validation will be conducted to assess the performance and effectiveness of the proposed enhanced voltage, power, and frequency droop control approach in diverse microgrid scenarios. The proposed system has balanced by droop controller within 0.1 to 0.3 sec. This finding provides valuable insights into mitigating voltage, power, and frequency imbalance challenges, enhancing microgrid stability, and ensuring reliable operation of decentralized energy systems. © 2024 ieee.

关键词： Controllers

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The Path to Fault- and Intrusion-Resilient Manycore systems on a Chip 53

The Path to Fault- and Intrusion-Resilient Manycore Systems ...

引用

53rd Annual ieee/IFIP international conference on Dependable systems and Networks (DSN)

作者： Shoker, Ali Esteves-Verissimo, Paulo Volp, Marcus King Abdullah Univ Sci & Technol KAUST RC3 Ctr CEMSE Div Thuwal Saudi Arabia Univ Luxembourg Interdisciplinary Ctr Secur Reliabil & Trust SnT CritiX Grp Luxembourg Luxembourg

ISBN: (纸本)9798350325454

The hardware computing landscape is changing. What used to be distributed systems can now be found on a chip with highly configurable, diverse, specialized and general purpose units. Such systems-on-a-Chip (SoC) are used to control today's cyber-physical systems, being the building blocks of critical infrastructures. They are deployed in harsh environments and are connected to the cyberspace, which makes them exposed to both accidental faults and targeted cyberattacks. This is in addition to the changing fault landscape that continued technology scaling, emerging devices and novel application scenarios will bring. In this paper, we discuss how the very features-distributed, parallelized, reconfigurable, heterogeneous-that cause many of the imminent and emerging security and resilience challenges, also open avenues for their cure though SoC replication, diversity, rejuvenation, adaptation, and hybridization. We show how to leverage these techniques at different levels across the entire SoC hardware/software stack, calling for more research on the topic.

关键词： fault and intrusion tolerance resilience hardware system on a chip FPGA

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A Method of distributed Multi-sensor Data Fusion under Privacy Protection 3

A Method of Distributed Multi-Sensor Data Fusion under Priva...

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3rd international conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Feng, Jing Wei, Hangxin Xi'an Shiyou University Mechanical Engineering College Xi'an China

ISBN: (纸本)9798350316674

Multi-sensor data fusion technology has great potential to effectively solve the data compatibility problems inherent in smart devices. However, current methodologies lack high-performance delivery while neglecting key issues surrounding data privacy. To address these shortcomings, this paper presents an innovative integration of federated learning into multi-sensor data fusion. Leveraging the Gated Recurrent Unit (GRU) algorithm, the federated learning local model is designed to tackle single-sensor data fitting challenges. For the first time, a three-dimensional, time-space parallel running multi-sensor fusion method is proposed. This unique approach exhibits superior convergence performance whilst effectively ensuring the privacy of user data. The soundness and fundamental premise of the proposed methodology is supported by experimental results, demonstrating its robust superiority. © 2023 ieee.

关键词： data fusion GRU multi-sensor privacy protection

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A Context-Aware Framework for sensor Placement Using PSO and Voronoi in Dynamic Scenarios 3

A Context-Aware Framework for Sensor Placement Using PSO and...

引用

3rd international conference on Intelligent systems, Advanced computing, and Communication, ISACC 2025

作者： Manna, Prithwish Majumder, Sudipta Singh, N. Hemarjit Bose, Rajesh DUIET Dibrugarh University Dept. of CSE Assam Dibrugarh India DUIET Dibrugarh University Dept. of ECE Assam Dibrugarh India JIS University Dept. of CSE West Bengal India

ISBN: (纸本)9798331523893

When we deploy sensors, we face severe problems to achieve resilience and robust coverage. It happens more in stochastic and dynamic environments. In this paper, we propose a hybrid framework which is a combination of Particle Swarm Optimization (PSO) and Voronoi Diagram method with context aware adaptation to fix the challenges. The proposed framework balances initial distribution of sensors and iterative optimization to enhance coverage, maintain k-coverage (k=3) and adapt to evolving scenarios even under critical situations like sensor failures. Experimental results highlight the performance of the proposed framework across the key scenarios: comparing coverage with or without context aware optimization quantifying the impact of random node failures, tracking cumulative recovery attempts and evaluating final coverage percentage. The results reveal that this hybrid framework maximizes the coverage and provides resilience to sensor failures. It also reallocates resources dynamically to maintain optimal deployment. This framework is suitable for getting more efficiency and minimal iterations of recovery while enhancing the robustness of the network. It also enlightens the adaptability in sensor performance and becomes very popular in modern applications. © 2025 ieee.

关键词： Particle swarm optimization (PSO)

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A distributed Critical Node Detection Algorithm for UAV Swarm Networks 3

A Distributed Critical Node Detection Algorithm for UAV Swar...

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3rd international conference on computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： He, Zihang Gou, Haosong Wu, Xiong Zhang, Gaoyi Du, Pengfei Zhai, Daosen School of Electronics and Information Northwestern Polytechnical University Xi’an China Sichuan Co. Ltd. China Mobile Group Chengdu China School of Physics and Electronics Hunan University Changsha China Engineering Research Center of Intelligent Airground Integrated Vehicle and Traffic Control Ministry of Education Xihua University Chengdu China

ISBN: (纸本)9798331528386

Unmanned aerial vehicle (UAV) swarm can be widely used in cooperative detection and strike across wide geographic areas. To support the collaboration of multiple UAVs, a connected network topology is essential. Thus, critical nodes, whose removal will disconnect the network into two or more separate components, will play an important role in UAV swarm networks. This paper investigate the distributed critical node detection algorithm for UAV swarm networks. Firstly, we analyze the logical relationship between critical node, robustness, and k-hop subgraph. Guided by the analysis, we propose a distributed critical node detection algorithm by using the geometrical relationship of neighbors and the k-hop local topology. Abundant simulation results indicate that the proposed algorithms can strike a good balance between accuracy and overhead and greatly outperform the global detection algorithms especially in large-scale networks. Besides, the simulation study provides some useful design guidance for robust topology control of UAV swarm networks. © 2024 ieee.

关键词： Unmanned aerial vehicles (UAV)

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Development of Intelligent sensor Based System for Monitoring and Control of Nutrient Supply in Root Crops 3

Development of Intelligent Sensor Based System for Monitorin...

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3rd international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2023

作者： Mahesh, N. Prabhu, K. Baluprithviraj, K.N. Sathiya Seelan, L. Sharanya, T. Shedhu, M. Kongu Engineering College Department of Electronics and Instrumentation Engineering Tamil Nadu Erode India

ISBN: (纸本)9798350306989

In today's era, Agriculture plays an important role in the economic progress of any country. The soil fertility and moisture level will have a major impact on the crop yield. Normally, fertilizers are suggested based on the nutrients present in the soil. Manually measuring the soil nutrients in the soil is a time consuming. Usually most of the farmers avoid soil testing in the laboratory and encourages to promote the same crop in the field continuously, so as a result the fertility of the soil will be lost. For the benefits of farmers, a precise agriculture method system has been introduced with the help of wireless sensor networks, the benefit of this system is remotely monitoring the soil nutrients, which are available in the soil, that is the three main nutrients, nitrogen, phosphorus and potassium which contributes to major nutrients of the soil and other parameters namely moisture level of the soil, pH of soil, humidity of soil, sunlight, temperature and TDS. pH level accounts for the stability of the growth of the plant. TDS value determines the purity of water supplied to the root crops. Sunlight is an essential parameter in the growth of the plant which is monitored in this system. This data is copied and transmitted to the cloud server so the noted values of the nutrients are displayed in the mobile application server. The proposed Internet of things (IoT) software system has the intelligence to suggest the amount of water and fertilizer that will enhance the soil's quality and guarantee the best possible crop development. © 2023 ieee.

关键词： Nutrients

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