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4th International conference on Frontiers of Computers and Communication Engineering, FCCE 2023

作者： Yoo, Hyeong Seon Yu, William Emmanuel S. Ateneo de Manila University Department of Information Systems and Computer Science Quezon City Philippines

ISBN: (纸本)9798350333169

Quality of Service in SDN/OpenFlow can be provided by making use of queues and their management techniques. This allows for better and more fine-grained control of network traffic. In this study, we test a Class-based Queuing (CBQ) algorithm for QoS provision that classifies network traffic according to the application (e.g., video traffic or HTTP traffic) over a selection of topology forms from the internet Topology Zoo (ITZ). To accomplish this, we utilize a Mininet-based QoS Testing framework that allows for testing of various QoS algorithms. To select the networks to be tested, we use K-means clustering over the ITZ dataset according to network size for random sampling within each cluster. We show that under CBQ, HTTP stress test performance was better in clusters with smaller network size, while VLC video performance remained similar throughout clusters. KPI analysis also shows that clients closer to servers exhibited better performance than those farther away, while VLC video performance remained consistent throughout the network. The results show that the framework is able to satisfy QoS requirements while showing performance differences across various simulated network topologies. © 2023 IEEE.

关键词： network topology

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LEOTP: An Information-centric Transport Layer Protocol for LEO Satellite networks 43

LEOTP: An Information-centric Transport Layer Protocol for L...

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43rd IEEE International conference on Distributed Computing systems (ICDCS)

作者： Jiang, Li Zhang, Yihang Yin, Jinyu Zhang, Xinggong Liu, Bin Peking Univ Wangxuan Inst Comp Technol Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9798350339864

Low Earth orbit (LEO) satellite networks have attracted extensive research due to their potential to provide high-quality internet access services. However, the existing TCP variants, which are designed for terrestrial networks, can hardly work in LEO satellite networks with characteristics such as error-prone, bandwidth variations, and link switching. To address these challenges, in this paper we present a new information-centric transport layer protocol LEOTP to guarantee reliable, high-throughput, and low-latency data transmission in LEO satellite networks. It leverages the idea of Information-Centric networking (ICN) with a Request-Response transmission model and in-network caching. The connectionless transmission paradigm in LEOTP makes it resilient to dynamic topology changes. The caches equipped in intermediate nodes help to recover packet loss while the hop-by-hop congestion control mechanism provides a fast reaction to time-varying network conditions. We evaluate the performance of LEOTP in emulated Starlink constellation, which shows that it increases the throughput by 8%-12% with 40%-60% delay reduction compared with the state-of-the-art TCP variants in the transcontinental data transmission.

关键词： LEO satellite networks transport layer protocol ICN segmented transmission control

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Sensing the Future: Challenges and Trends in IoT Sensor Technology 4

Sensing the Future: Challenges and Trends in IoT Sensor Tech...

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4th International conference on Innovative Practices in Technology and Management, ICIPTM 2024

作者： Rajora, Ricky Rajora, Aarju Sharma, Bhanu Aggarwal, Priyanshi Thapliyal, Siddhant Chitkara University Institute of Engineering and Technology Chitkara University Punjab 140401 India Chandigarh Engineering College Department of Computer Science & Engineering Mohali India Computer Science & Engineering Graphic Era Hill University Uttarakhand Dehradun248002 India Computer Science & Engineering Graphic Era Deemed to Be University Uttarakhand Dehradun248002 India

ISBN: (纸本)9798350307757

In the ever-evolving world of the internet of Things (IoT), sensors play a crucial role as essential parts, linking and merging different elements to create a smart worldwide network. This study examines the crucial function of sensors in the internet of Things (IoT) ecosystem, where they serve as sensory organs that translate the intricacies of the physical world into a uniform language for networked systems. The main emphasis is on their ability to gather and evaluate factual data from the surroundings, which impacts the performance and effectiveness of IoT applications in many industries. This research explores the uses and relevance of many sensor types, including temperature, humidity, proximity, motion, gas, biometric, vibration, image, infrared (IR), occupancy, water quality, pressure, light, and sound sensors. Although sensors contribute to the improvement of automation, control systems, and predictive analysis, they also give rise to issues in terms of security, interoperability, and power efficiency. The convergence of edge computing, artificial intelligence (AI), quantum sensors, 5G connection, and improved sensor integration has the potential to bring about significant changes in the internet of Things (IoT) environment. The study provides a thorough survey of sensor applications in several domain including healthcare, agriculture, smart cities, and automotive sectors. Lastly, it examines the difficulties and potential opportunities, highlighting the vital significance of sensors in influencing the future of interconnection and data-driven decision-making. © 2024 IEEE.

关键词： internet of things

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EEOMA: End-to-end oriented management architecture for 6G-enabled drone communications

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PEER-TO-PEER networkING AND APPLICATIONS 2022年第2期15卷 1232-1254页

作者： Ali, Zainab H. Ali, Hesham A. Kafrelsheikh Univ Fac Artificial Intelligence Dept Embedded Network Syst & Technol El Geish St Kafrelsheikh 33516 Egypt Fac Engn Dept Comp Engn & Control Syst El Gomhoria St Talkha 33511 Eldakahlia Egypt Mansoura Univ Delta Univ Sci & Technol Fac Artificial Intelligence El Gomhoria St Talkha 33511 Eldakahlia Egypt

We are witnessing a new era in autonomous systems with unprecedented user experiences, excessively recovered road safety and air quality, a wide range of transportation conditions and utilization cases, as well as a plethora of advanced time-sensitive applications. To realise this ambitious vision, Vehicular Ad-hoc networks (VANET) and drones must have significantly improved communication. They must be remarkably intelligent and capable of simultaneously supporting hyper-fast, ultra-reliable, uninterrupted service, as well as low-latency massive information exchange. Although the Sixth Generation (6G) is successful in providing a seamless integration of heterogeneous elements as well as offering high coverage area with maximizing resource utilization;however, the accomplishment of faster computation, reducing bandwidth usage, low power consumption, and high throughput is remaining critical more than other purposes. This study introduces an End-To-End Oriented Management Architecture (EEOMA) based on fog computing and software-defined network (SDN) technologies for boosting the performance in hybrid networks of Vehicular Ad hoc network (VANET) and Drone. Two techniques are proposed through EEOMA to manage the data transmission on both the SDN and the drones and meet network constraints: (i) a transport service aggregation approach for simplifying the amount of traffic data traveling across the network bandwidth and (ii) a normalized throughput of a channel with adjusting the interference ratio that indicates medium access control (MAC) layer overhead. The experimental results show that there is 1.2% to 6.1% enhancement of packet delivery and packet loss ratios. More trustworthiness in performance measurement is reached by the proposed EEOMA in terms of total throughput, response time, and power consumption.

关键词： Drone networks Data transmission Cellular network Fog computing internet of things network throughput Vehicular ad hoc network Software-defined network

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Modeling network Traffic and Exploring Distribution Fitting: A Case Study on Spotify 8

Modeling Network Traffic and Exploring Distribution Fitting:...

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8th South-East Europe Design Automation, Computer Engineering, Computer networks and Social Media conference, SEEDA-CECNSM 2023

作者： Karadimas, Odysseas Florou, Aikaterini Margariti, Spiridoula V. Stergiou, Eleftherios Stylios, Chrysostomos D. University of Ioannina Dept. of Informatics and Telecommunications Arta Greece Industrial Systems Institute Athena Research Center Patra Greece

ISBN: (纸本)9798350383676

As internet traffic grows exponentially due to user demands and economic competition, the characterization of network workload and its resource utilization becomes more complex but also more important. This study aims to gain insights into the network's dynamics and explore various aspects of its behavior and performance. It presents an empirical analysis of network traffic based on a 24-hour dataset obtained at a university campus from internet users on the 'Spotify' platform. The analysis is built on data features, and it reveals several traffic models. More specifically, using the Cullen and Frey graphs, it investigates which are the optimal distributions fitting to data traffic. It focuses on patterns observed in the number of connections per minute and brings out an initial burst of activity followed by a stable level of connectivity. The study also examines the duration of TCP (Transmission control Protocol) connections and the size of transfer data, indicating that most connections are short-lived and data transfers predominantly in-volve smaller sizes. These findings contribute to a comprehensive understanding of the network's behavior and can shape network management strategies for optimizing performance and resource allocation. © 2023 IEEE.

关键词： Data transfer

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Traffic control, Congestion Management and Smart Parking through VANET, ML, and IoT: A Review 10

Traffic Control, Congestion Management and Smart Parking thr...

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10th International conference on Wireless networks and Mobile Communications, WINCOM 2023

作者： Ouhmidou, Hajar Nabou, Abdellah Ikidid, Abdelouafi Bouassaba, Wafa Ouzzif, Mohammed El Kiram, Moulay Ahmed Cadi Ayyad University Computing Systems Enginnering Laboratory Computer Sciences Dept Marrakesh Morocco Est Ensem Hassan Ii University of Casablanca Computer Science and Smart Systems Laboratory Casablanca Morocco

ISBN: (纸本)9798350329674

As the quantity of cars increases on the road, so does the focus on improving road safety and in-vehicle entertainment. In response to this need, the creation of new in-car applications and services is on the rise. Common applications include collision avoidance, safety and traffic monitoring, multimedia streaming, and smart city data collection using wireless sensor networks. The internet of Things (IOT) is a recent innovation that is accelerating the universe towards automated procedures and intelligent transportation management solutions. This is an important contribution to automation and intelligent civilization. Another way to improve the transport system is through the machine learning (ML). an Existing traffic management solution face a number of problems, resulting in traffic congestion, delays and high fatality rates. In addition, vehicular ad hoc network (VANET) has emerged as a new technology capable of supporting such emerging vehicular applications. This paper presents a comprehensive review of the latest state of the traffic control, traffic management and parking and smart city strategy of the vehicle by using VANET, ML and internet of Things technology. © 2023 IEEE.

关键词： internet of things

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Multi-node Trusted Remote Attestation and Recovery Scheme for Power Industrial control Terminal 3

Multi-node Trusted Remote Attestation and Recovery Scheme fo...

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3rd International conference on Intelligent Power and systems, ICIPS 2023

作者： Liu, Wei Yu, Jianye Qi, Longyun Yang, Kangle Li, Ke Xu, Zhichao Shang, Ketong Wu, Qiuxin Nanjing NARI Information and Communication Technology Company Limited Jiangsu Province Nanjing210000 China Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9798350328691

With the development of energy internet, the scale of power network is expanding day by day. Therefore, a large number of electric devices are exposed to the network, and its security has become the focus of attention. In addition, electric devices frequently enter and exit the network and update software configuration items. Based on the above problems, this paper proposes a multi-node trusted remote attestation and repair scheme for power industrial control terminal. Firstly, based on the non-interactive attestation protocol, it can not only prevent DDoS attacks, but also be suitable for highly dynamic swarm networks. Secondly, the hash algorithm based on the complete binary tree can not only accurately recovery the compromised device, but also reduce the burden of hash calculation for new software configuration items of the device. Finally, the security analysis and performance evaluation show that this scheme is a secure and efficient swarm attestation and recovery scheme. ©2023 IEEE.

关键词： internet of Energy

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Smart Visual Pollution Detection System 2

Smart Visual Pollution Detection System

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2nd International conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Alsolami, Rothana Atwah, Rasha Alajlani, Ranad Alhajaili, Sara College of Computer Science and Engineering University of Jeddah Department of Computer and Network Engineering Jeddah Saudi Arabia

ISBN: (纸本)9798331506995

As Saudi Arabia moves forward with its Vision 2030 initiative to improve the quality of life and services for its people, visual pollution continues to have a negative impact on the environment. However, assessing and addressing visual pollution in cities remains a challenging task due to its subjective nature and complexity. One of the main challenges is the lack of powerful and reliable intelligent systems for detecting visual pollution. To tackle this issue, we have invested our efforts in developing a cost-effective intelligent system using advanced technologies like the internet of Things (IoT) and computer vision. This system will help detect and monitor visual pollution, including items such as water cans, paper, and plastic cups. Our smart system uses sensors like cameras to collect data and then analyzes it to display the information on a user-friendly control panel for administrators to monitor the area under study. The system has been successfully tested under various scenarios and has shown promising accuracy rates, reaching up to 87% in detecting recyclable materials. We believe that there are numerous opportunities to further enhance the performance of future designs. © 2025 IEEE.

关键词： Detection internet of Things (IoT) Smart Cities Visual Pollution

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An Integrated Framework for Self-Adjusting Temperature, Humidity, and Airflow Direction in Smart Air Conditioning systems 9

An Integrated Framework for Self-Adjusting Temperature, Humi...

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9th International conference on Information Technology Research

作者： Saparamadu, Hiruni Dilara, Nuwani Bandara, Thamasha Meriyan, Anjalika Krishara, Jenny Rathnayake, Samadhi Sri Lanka Inst Informat Technol Dept Comp Sci Malabe Sri Lanka Sri Lanka Inst Informat Technol Dept Informat Technol Malabo Sri Lanka

ISBN: (纸本)9798331511425;9798331511432

This research presents a model for optimizing air conditioning system performance through the integration of internet of Things (IoT) technologies and Machine Learning methodologies. The result is a self-regulating air conditioning system that operates autonomously, minimizing human intervention. The approach begins with a K-Nearest Neighbors (KNN) model to determine the number of active units needed at any time. The system further optimizes operation by selecting which units to activate based on room occupancy and depth estimation data sourced from OpenCV and Midas. To enhance precision, a sequential model utilizing transfer learning predicts the optimal AC output temperature, while a Support Vector Machine (SVM) model establishes the required fan speed. Additionally, a Deep Deterministic Policy Gradient (DDPG) algorithm is incorporated to maintain optimal indoor humidity levels, continuously adapting to indoor and outdoor changes. A network of sensors and a Raspberry Pi facilitate real-time data collection. The framework's effectiveness is evaluated through simulations, demonstrating its potential to optimize air conditioning operations.

关键词： Air Conditioner Occupancy detection IoT Temperature control Humidity control

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14th EAI International conference on Ad Hoc networks, AdHocNets 2023

14th EAI International Conference on Ad Hoc Networks, AdHocN...

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14th EAI International conference on Ad Hoc networks, AdHocNets 2023

ISBN: (纸本)9783031559921

The proceedings contain 15 papers. The special focus in this conference is on Ad Hoc networks. The topics include: Two Embedding Algorithms in Schur-Based Image Watermarking Scheme;metaheuristics-Based Hyperparameter Tuning for Convolutional Neural networks;antenna Array Pattern Nulling via Convex Optimization;interference Suppression Approaches Utilizing Phase-Only control and Metaheuristic Algorithms: A Comparative Study;reconfigurable Intelligent Surface-Aided Wireless Communication Considering Interference Suppression;nature-Inspired Algorithms-Based Beamforming for Advanced Antenna systems;Investigation of Transmit Antenna Selection for MU-VASM systems over Correlated Channels;Millimeter Wave Path Loss Modeling for UAV Communications Using Deep Learning;Enhance Secrecy performance of the Cooperative NOMA/UAV network Applying NSGA-ii Algorithm;fake News Detection Based on Multi-view Fuzzy Clustering Algorithm;an Efficient Approach to the k-Strong Barrier Coverage Problem Under the Probabilistic Sensing Model in Wireless Multimedia Sensor networks;an Efficient Method for Solving the Best Coverage Path Problem in Homogeneous Wireless Ad-Hoc Sensor networks;performance of Uplink Ultra Dense network with Antenna Selection.

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