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Safeguarding Sensitive Data in the Era of IoT: A Study on Security Protocols for Distributed Measurement systems

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Safeguarding Sensitive Data in the Era of IoT: A Study on Se...

Metrology for Living Environment (MetroLivEn), IEEE International Workshop on

作者： Antonio Francesco Gentile Davide Macrì Francesco Lamonaca Institute for High-Performance Computing and Networking National Research Council of Italy (ICAR-CNR) Rende (CS) Italy Department of Computer Engineering Modeling Electronics and Systems Rende (CS) Italy University of Calabria CNR-NANOTEC Rende (CS) Italy

ISBN: (数字)9798350385014

ISBN: (纸本)9798350385021

IoT devices have led to the development of Distributed Measurement systems (DMS). However, cyber-attacks have increased, making it crucial to implement security protocols without reducing network throughput. Open firmware on constrained devices offers another layer of customization, essential for the flexibility required in DMS. This allows software updates and modifications in real-time, which is crucial for adapting to evolving cybersecurity threats and managing device functionality. The objective is to identify algorithms that ensure optimal data transmission and encryption ratios and maximum compatibility with existing infrastructures and commercial hardware that support MQTT technology. This approach utilizes local MQTT brokers and TLS tunnels to secure local sensor data transmissions. This design enhances security and maintains the efficiency of data flow across the network. The primary objective moving forward is to refine and identify algorithms that ensure optimal data transmission and encryption ratios and uphold maximum compatibility with existing infrastructures that support MQTT technology. This is critical as MQTT is a standard protocol for IoT communications.

关键词： Protocols Software algorithms Throughput Software Real-time systems Encryption Internet of Things

Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment

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arXiv 2024年

作者： Brotee, Shamyo Kabir, Farhan Razzaque, Md. Abdur Roy, Palash Mamun-Or-Rashid, Md. Hassan, Md. Rafiul Hassan, Mohammad Mehedi Green Networking Research Group Department of Computer Science and Engineering University of Dhaka Bangladesh Department of Computer Science and Engineering Green University of Bangladesh Dhaka Bangladesh College of Arts and Sciences University of Maine at Presque IsleME04769 United States Department of Information Systems College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia

One of the most critical applications undertaken by coalitions of Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) is reaching predefined targets by following the most time-efficient routes while avoiding collisions. Unfortunately, UAVs are hampered by limited battery life, and UGVs face challenges in reachability due to obstacles and elevation variations. Existing literature primarily focuses on one-to-one coalitions, which constrains the efficiency of reaching targets. In this work, we introduce a novel approach for a UAV-UGV coalition with a variable number of vehicles, employing a modified mean-shift clustering algorithm to segment targets into multiple zones. Each vehicle utilizes Multi-agent Deep Deterministic Policy Gradient (MADDPG) and Multi-agent Proximal Policy Optimization (MAPPO) — two advanced reinforcement learning algorithms — to form an effective coalition for navigating obstructed environments without collisions. This approach of assigning targets to various circular zones, based on density and range, significantly reduces the time required to reach these targets. Moreover, introducing variability in the number of UAVs and UGVs in a coalition enhances task efficiency by enabling simultaneous multi-target engagement. The results of our experimental evaluation demonstrate that our proposed method substantially surpasses current state-of-the-art techniques, nearly doubling efficiency in terms of target navigation time and task completion rate. Copyright © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

Energy-Efficient Over-the-Air Computation for Federated Generative Model Fine-Tuning in Unmanned Vehicle-Assisted Disaster Relief

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IEEE Transactions on Cognitive Communications and networking 2025年

作者： Zhao, Yikun Feng, Lei Zhou, Fanqin Li, Wenjing Xiong, Zehui Du, Hongyang Wu, Celimuge Guo, Song Quek, Tony Q.S Han, Zhu State Key Laboratory of Networking and Switching Technology Beijing100876 China Singapore University of Technology and Design Information Systems Technology and Design Pillar Singapore487372 Singapore University of Hong Kong Department of Electrical and Electronic Engineering Pok Fu Lam Hong Kong University of Electro-Communications Meta-Networking Research Center Tokyo Japan Hong Kong University of Science and Technology Department of Computer Science and Engineering Hong Kong University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

The utilization of emergent generative artificial intelligence (GAI) within the realm of unmanned vehicles (UVs) can boost edge intelligence and potentially enhance the efficiency and effectiveness of rescue operations. However, to facilitate specialized generative edge intelligence in dynamic UV networks, GAI models need to tap into local data and conduct online fine-tuning, and the dispersed distribution of UVs makes distributed fine-tuning paradigms crucial. Although the federated generative model fine-tuning brings a potential solution, the large number of parameter transmissions involved in its fine-tuning process are often constrained by communication bottlenecks, which are more pronounced for resource-constrained UV networks. To cope with these challenges, we introduce an energy-efficient GAI model fine-tuning framework for the hierarchical UV networks, which employs over-the-air technology to save computational resource costs for unmanned aerial vehicle (UAV) during federated aggregation within a federated learning paradigm. Thereafter, we study the resource allocation problem in the fine-tuning process of the generative model and formulate a joint optimization problem for the bandwidth allocation, power control, computation resource allocation, and denoising factor control, aiming to minimize the system energy consumption. Then, we decouple the original problem into four tractable subproblems, and propose a block coordinate descent algorithm to solve them iteratively. Particularly, we derive a closed-form solution for the denoising factor to minimize the local model uploading transmission energy consumption under a specific AirComp communication error threshold. Simulation based on the state-of-the-art generative models shows that our AirComp-assisted federated generative model fine-tuning scheme can achieve satisfactory customized field-of-view image generation capability compared with the traditional fine-tuning scheme in an energy-efficient way. © 2015 I

关键词： Energy efficiency

Design of an Air Pollution Monitoring System Based on a Low-Cost Sensor Node

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Design of an Air Pollution Monitoring System Based on a Low-...

Metrology for Living Environment (MetroLivEn), IEEE International Workshop on

作者： Rocío-Alejandra Guerrón Domenico-Luca Carnì Marco Lanuzza Francesco D' Amore Mariantonia Bencardino Francesco Lamonaca Ramiro Taco Department of Computer Engineering Modeling Electronics and Systems University of Calabria Rende Italy Institute for High Performance Computing and Networking Italian National Research Council Rende Italy Institute of Atmospheric Pollution Research Italian National Research Council Rende Italy

ISBN: (数字)9798350385014

ISBN: (纸本)9798350385021

Air quality influences the life of the living beings that inhabit planet Earth. High levels of air pollutants in ambient air are in fact able to affect human health and also ecosystem integrity. Their monitoring allows for regulating the most appropriate air quality indices and verifying whether they are below the established harmful levels. However, this is a task that requires many physical and economic resources. For this reason, the research activity herein presented proposes a low-cost system, which is able to qualitatively evaluate the meteorological conditions and the main pollutants that affect a certain area. Through this proposal, the behavior of Alphasense's electrochemical gas low-cost sensors is studied. Their response to the concentrations of the main air pollutants regulated by the relevant European Directive (2008/50/CE), such as Carbon Monoxide, Nitrogen Dioxide, Ozone, and Sulfur Dioxide, is characterized and analyzed under various environmental conditions of Temperature and Relative Humidity and as a function of the electrical current signal obtained by the chemistry of the sensor.

关键词： Temperature sensors Chemical sensors Sensor phenomena and characterization Air pollution Sensor systems Sulfur Proposals

Exploring 5G Data Rates: An Analysis of Thailand’s Iconic Landmarks - The Grand Palace and Wat Arun

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Exploring 5G Data Rates: An Analysis of Thailand’s Iconic L...

Digital Applications, Transformation & Economy (ICDATE), International Conference on

作者： Therdpong Daengsi Kasidis Arunruangsirilert Patsita Sirawongphatsara Kritphon Phanrattanachai Thanawat Yochanang Sustainable Industrial Management Engineering RMUTP Bangkok Thailand Computer Science and Communications Engineering Waseda University Tokyo Japan Computer Science RMUTTO Chonburi Thailand Electronics and Automation Systems Engineering PCRU Phetchabun Thailand Data Communication and Networking KMUTNB Bangkok Thailand

The recent deployment of 5G New Radio (NR) technology promises to transform the possibility of mobile networks around the world. In many Asian countries, including Thailand, video content, both on-demand and live, dominates the online content market. It’s not uncommon for tourists and content creators to create such content at tourist destinations, then immediately upload them to the social media platforms like YouTube, Instagram, and Tiktok. As video content takes up a lot of transmission bandwidth in the uplink direction, this provides a new challenge for any Mobile Network Operator (MNO) as many User Equipment (UE) compete with each other for the limited uplink bandwidth available at the base station serving the tourist destination. In this paper, the performance of the 5G network of two Thai MNO at two of the most popular tourist destinations in Bangkok, Thailand, will be evaluated. The results showed that the 5G quality of service (QoS) at these two landmarks was significantly lower than the typical performance at BTS Skytrain stations located in the business districts. Additionally, even though these two landmarks are located close to each other, there was a significant difference in 5G QoS between the two.

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Pioneering Deterministic Scheduling and Network Structure Optimization for Time-Critical Computing Tasks in Industrial IoT

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arXiv 2024年

作者： Hu, Yujiao Zhu, Yining Zhang, Huayu Pan, Yan Jia, Qingmin Xie, Renchao Yang, Gang Yu, F. Richard Future Network Research Center Purple Mountain Laboratories Nanjing211111 China The School of Computer Science Northwestern Polytechnical University Xi’an710029 China Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology China The State Key Laboratory of networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The Department of Systems and Computer Engineering Carleton University Ottawa Canada

The Industrial Internet of Things (IIoT) has become a critical technology to accelerate the process of digital and intelligent transformation of industries. As the cooperative relationship between smart devices in IIoT becomes more complex, getting deterministic responses of IIoT periodic time-critical computing tasks becomes a crucial and nontrivial problem. However, few current works in cloud/edge/fog computing focus on this problem. This paper is a pioneer to explore the deterministic scheduling and network structural optimization problems for IIoT periodic time-critical computing tasks. We first formulate the two problems and derive theorems to help quickly identify computation and network resource sharing conflicts. Based on this, we propose a deterministic scheduling algorithm, IIoTBroker, which realizes deterministic response for each IIoT task by optimizing the fine-grained computation and network resources allocations, and a network optimization algorithm, IIoTDeployer, providing a cost-effective structural upgrade solution for existing IIoT networks. Our methods are illustrated to be cost-friendly, scalable, and deterministic response guaranteed with low computation cost from our simulation results. © 2024, CC BY-NC-ND.

关键词： Internet of things

CoRaiS: Lightweight Real-Time Scheduler for Multi-Edge Cooperative Computing

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arXiv 2024年

作者： Hu, Yujiao Jia, Qingmin Chen, Jinchao Yao, Yuan Pan, Yan Xie, Renchao Yu, F. Richard Future Network Research Center Purple Mountain Laboratories Nanjing211111 China The School of Computer Science Northwestern Polytechnical University Xi'An710029 China Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology China The State Key Laboratory of networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The Department of Systems and Computer Engineering Carleton University Ottawa Canada

Multi-edge cooperative computing that combines constrained resources of multiple edges into a powerful resource pool has the potential to deliver great benefits, such as a tremendous computing power, improved response time, more diversified services. However, the mass heterogeneous resources composition and lack of scheduling strategies make the modeling and cooperating of multi-edge computing system particularly complicated. This paper first proposes a system-level state evaluation model to shield the complex hardware configurations and redefine the different service capabilities at heterogeneous edges. Secondly, an integer linear programming model is designed to cater for optimally dispatching the distributed arriving requests. Finally, a learning-based lightweight real-time scheduler, CoRaiS, is proposed. CoRaiS embeds the real-time states of multi-edge system and requests information, and combines the embeddings with a policy network to schedule the requests, so that the response time of all requests can be minimized. Evaluation results verify that CoRaiS can make a high-quality scheduling decision in real time, and can be generalized to other multi-edge computing system, regardless of system scales. Characteristic validation also demonstrates that CoRaiS successfully learns to balance loads, perceive real-time state and recognize heterogeneity while scheduling. © 2024, CC BY-NC-ND.

关键词： Edge computing

CSQF-based Time-Sensitive Flow Scheduling in Long-distance Industrial IoT Networks

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arXiv 2024年

作者： Huang, Yudong Huang, Tao Zhang, Xinyuan Wang, Shuo Du, Hongyang Niyato, Dusit Yu, Fei Richard The State Key Laboratory of Networking and Switching Technology BUPT Beijing100876 China The Purple Mountain Laboratories Nanjing211111 China The School of Computer Science and Engineering Nanyang Technological University Singapore The Department of Systems and Computer Engineering Carleton University OttawaONK1S 5B6 Canada

Booming time-critical services, such as automated manufacturing and remote operations, stipulate increasing demands for facilitating large-scale Industrial Internet of Things (IoT). Recently, a cycle specified queuing and forwarding (CSQF) scheme has been advocated to enhance the Ethernet. However, CSQF only outlines a foundational equipment-level primitive, while how to attain network-wide flow scheduling is not yet determined. Prior endeavors primarily focus on the range of a local area, rendering them unsuitable for long-distance factory interconnection. This paper devises the cycle tags planning (CTP) mechanism, the first integer programming model for the CSQF, which makes the CSQF practical for efficient global flow scheduling. In the CTP model, the per-hop cycle alignment problem is solved by decoupling the long-distance link delay from cyclic queuing time. To avoid queue overflows, we discretize the underlying network resources into cycle-related queue resource blocks and detail the core constraints within multiple periods. Then, two heuristic algorithms named flow offset and cycle shift (FO-CS) and Tabu FO-CS are designed to calculate the flows' cycle tags and maximize the number of schedulable flows, respectively. Evaluation results show that FO-CS increases the number of scheduled flows by 31.2%. The Tabu FO-CS algorithm can schedule 94.45% of flows at the level of 2000 flows. © 2024, CC BY.

关键词： Integer programming

Investigation of the separation zone for split-domain light field visualization

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Investigation of the separation zone for split-domain light ...

International Scientific-Professional Conference on Information Technology (IT)

作者： Kamran Javidi Maria G. Martini Peter A. Kara Department of Computer Science Wireless Multimedia and Networking Research Group School of Computer Science and Mathematics Faculty of Engineering Computing and the Environment Kingston University Penrhyn Road Campus Kingston upon Thames London UK Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary

Light field visualization commonly provides a single content over the entire field of view. However, the angularly-selective nature of the technology enables the simultaneous visualization of different contents at different viewing angles. Yet segmenting the valid viewing area comes with content interference as well in forms of separation zones, resulting invalid viewing domains. In this paper, we introduce a study on the separation zone of split-domain light field visualization. We created a static-content-based scenario in which we split the valid viewing area into two distinct domains, with a separation zone in between them. This was achieved by merging two light field contents in the middle with an instantaneous switch. The resulting visualization on a light field display was captured by a DSLR camera from two viewing distances, and it was compared to the crosstalk effect caused by insufficient angular resolution.

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