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Special Issue on Edge-Cloud Interplay Based on SDN and NFV for Next-Generation IoT Applications

ieee INTERNET OF THINGS JOURNAL 2020年第7期7卷 5690-5694页

作者： Garg, Sahil Guo, Song Piuri, Vincenzo Choo, Kim-Kwang Raymond Raman, Balasubramanian Ecole Technol Super Montreal PQ H3C 1K3 Canada Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China Univ Milan Comp Engn I-20133 Milan Italy Univ Texas San Antonio Cloud Technol Endowed Professorship San Antonio TX 78249 USA Indian Inst Technol Roorkee Dept Comp Sci & Engn Roorkee 247667 Uttar Pradesh India

With significant and continuing advances in information and communication technologies, the Internet of Things (IoT) will play an increasingly important role in domains, such as healthcare, transportation, finance, and energy. In an IoT system, billions of devices (e.g., sensors, wearables, and smart appliances) are connected to the global network infrastructure, and one associated phenomenon is the generation of a large volume of data. Apart from data volume, the velocity, variety, and veracity of these data will pose a significant burden on conventional networking infrastructures. However, as sensor and fifth-generation (5G) cellular technologies advance, so will the pervasiveness of IoT deployment. Parallel to this trend, cloud computing has been integrated with IoT in order to address limitations in existing IoT networks (e.g., storage and computing resources), and examples include Google cloud dataflow and Amazon IoT. However, cloud-centric IoT solutions may not be suited for delay-sensitive and computationally intensive applications, for example, due to resource availability, end-to-end latency, bandwidth, etc. Increasingly, large-scale IoT deployments demand high connectivity, interoperability, and orchestration which are necessary for minimizing latency and maximizing throughput. This highlights the importance of a distributed computing platform that can support the interactions between IoT and cloud computing systems.

关键词： Special issues and sections Cloud computing Edge computing Intelligent sensors Wearable sensors Wearable computers

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1st international conference on Artificial Intelligence and Computer Visions, AICV 2020

1st International Conference on Artificial Intelligence and ...

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1st international conference on Artificial Intelligence and Computer Visions, AICV 2020

ISBN: (纸本)9783030442880

The proceedings contain 81 papers. The special focus in this conference is on Artificial Intelligence and Computer Visions. The topics include: Role of Financial Technology FinTech: A Survey;applications of Integrated Management and Distribution Information in Power Supply System;vortex Swarm Optimization: New Metaheuristic Algorithm;an Artificial Intelligence System for Apple Fruit Disease Classification Based on Support Vector Machine and Cockroach Swarm Optimization;controlling Directed Particle Swarm Optimization for Delivering Nano-robots to Cancer Cells;feature Selection Method Based on Chaotic Maps and Butterfly Optimization Algorithm;dynamic Cost Ant Colony Algorithm for Optimize distributed Database Query;clustering Analysis Based on Coyote Search Technique;Brain Tumor Segmentation in 3D-MRI Based on Artificial Bee Colony and Level Set;machine Learning for Apple Fruit Diseases Classification System;self-adaptive Parameters Optimization for Incremental Classification in Big Data Using Swarm Intelligence;a Modified Sunflower Optimization Algorithm for Wireless sensor Networks;hybrid Approach for Improving Intrusion Detection Based on Deep Learning and Machine Learning Techniques;prediction of the Electrical Load for Egyptian Energy Management systems: Deep Learning Approach;Comparative Performance of Machine Learning and Deep Learning Algorithms for Arabic Hate Speech Detection in OSNs;abnormal Events and Behavior Detection in Crowd Scenes Based on Deep Learning and Neighborhood Component Analysis Feature Selection;classifying Upper Limb Activities Using Deep Neural Networks;Experimental Kinematic Modeling of 6-DOF Serial Manipulator Using Hybrid Deep Learning;a Hybrid Deep Learning Based Autonomous Vehicle Navigation and Obstacles Avoidance;Deep Learning Based Kinematic Modeling of 3-RRR Parallel Manipulator;metadata Extraction for Low-Quality Semi-structured Spreadsheets.

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DUCSAN 2020: 1st international Workshop on distributed Ubiquitous computing: systems, Applications, and Networking - Program

DUCSAN 2020: 1st International Workshop on Distributed Ubiqu...

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ieee Annual conference on Pervasive computing and Communications Workshops (PerCom)

Provides a schedule of conference events and a listing of which papers were presented in each session.

ISBN: (数字)9781728147161

ISBN: (纸本)9781728147178

Provides a schedule of conference events and a listing of which papers were presented in each session.

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High Sensitivity Gas Detection with Microstructured Optical Fibres 22

High Sensitivity Gas Detection with Microstructured Optical ...

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22nd international conference on Transparent Optical Networks (ICTON)

作者： Jin, Wei Bao, Haihong Zhao, Pengcheng Qi, Yun Ho, Hoi Lut Hong Kong Polytech Univ Dept Elect Engn Hong Kong Peoples R China Hong Kong Polytech Univ Shenzhen Res Inst Photon Res Ctr 18 Yuexing 1st Rd Shenzhen 518057 Peoples R China

ISBN: (纸本)9781728184234

We report recent development in laser spectroscopic gas sensing with microstructured hollow-core optical fibres and sub-wavelength-diameter optical nanofibers. The spectroscopic methods employed are photothermal spectroscopy for gases with strong absorption and stimulated Raman gain/dispersion spectroscopy for Ramanactive gases. Compared with open-path systems, the use of microstructured optical fibres as sensing elements enables compact all-fibre systems with high performance. With photothermal interferometry, parts-per-billion (ppb) to parts-per-trillion (ppt) level detection of acetylene, methane and ammonia are demonstrated with dynamic range up to seven orders of magnitude. With stimulated Raman spectroscopy, parts-per-million (ppm) level detection of hydrogen is achieved with dynamic range of five orders of magnitude.

关键词： gas detection optical fibre sensor laser spectroscopy hollow-core optical fibre microstructured optical fibre optical nanofibre

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Cognitive Game for OCD Effects Minimisation using IoT 15

Cognitive Game for OCD Effects Minimisation using IoT

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Spyrou, Evangelos D. Mitrakos, Dimitris Aristotle Univ Thessaloniki Sch Elect & Comp Engn Egnatia St Thessaloniki Greece

ISBN: (纸本)9781728105703

Smart homes using IoT devices for resident monitoring and/or appliances metering, aim to optimise the home environment and provide assistance to health practitioners, when it comes to the elderly or people with certain diseases. Recently, research has moved towards integrating sensory outputs other than visibility and audio, with sensors aiming to mimic all five senses of the human. In this paper, we take onboard an IoT installation scenario with cameras, RFID tags and an electronic nose to capture repetitive behaviors of home residents suffering from Obsessive Compulsive Disorder (OCD) episodes. We propose the setup of such an IoT system, which utilises visible, movement and smell sensors. We devise an OCD metric to classify the behavior of the resident and we give a Hidden Markov Model (HMM) algorithm to classify and predict the behavior based on the metric. Finally, when OCD behavior is identified, we provide a game-theoretic algorithm for the patient to play, in order to minimise the OCD intrusive thoughts.

关键词： OCD zero sum game intrusive thoughts Hidden Markov Model multisensory

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Secure IoT e-Health Applications using VICINITY Framework and GDPR guidelines 15

Secure IoT e-Health Applications using VICINITY Framework an...

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Koutli, Maria Theologou, Natalia Tryferidis, Athanasios Tzovaras, Dimitrios Kagkini, Aimilia Zandes, Dimitrios Karkaletsis, Konstantinos Kaggelides, Konstantinos Miralles, Jorge Almela Oravec, Viktor Vanya, stefan ITI CERTH Ctr Res & Technol Hellas 6th Km Harilaou Thermi Thessaloniki 57001 Greece Gnomon Informat 21 Tritsi St Thessaloniki 57001 Greece bAvenir Sro Kladnianska 34 Bratislava 82105 Slovakia

ISBN: (纸本)9781728105703

In this work we analyze the security requirements and challenges of e-Health Internet of Things (IoT) applications and propose a complete architecture to address them. This architecture combines VICINITY IoT Framework security features together with General Data Protection Regulation (GDPR) compliant mechanisms in order to provide secure e-Health services to elders and middle-aged people. We also demonstrate how an Ambient Assisted Living (AAL) and an mHealth application were designed and implemented, addressing the current security and privacy requirements.

关键词： IoT security e-Health privacy GDPR

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ESLC-WSN: A Novel Energy Efficient Security Aware Localization and Clustering in Wireless sensor Networks 1

ESLC-WSN: A Novel Energy Efficient Security Aware Localizati...

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1st international conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2020

作者： Tamtalini, Mohammed Amine Alaoui, Abdelbaki El Belrhiti El Fergougui, Abdeslam El Moulay Ismail University Computer Networks and Systems Laboratory Faculty of Sciences Meknes Morocco

ISBN: (纸本)9781728149790

Localization is one of the most essential challenges in wireless sensor networks because the location information is usually used in domains such as routing, target tracking, deployment and coverage. There be existent some localization algorithms that facilitate the sensor nodes to locate itself using the anchor/beacon nodes position. Some crucial efforts have been made in the past for optimizing the anchor node trajectory with good accuracy. This paper presents a novel algorithm for localization in wireless sensor networks. To predict unknown nodes location, we select top-3 anchor nodes using hybrid technique namely CSO-ANFIS (Chicken Swarm Optimization and Adaptive Neuro-Fuzzy System). For decision making, fusion center is used which rejects the reported location information if the distance between unknown node and anchor node beyond a threshold. On the other hand, energy consumption is a serious threat in WSN. In order to reduce the energy consumption, we proposed secure cluster based routing for data transmission by authenticating each node to sink node. Firstly, clustering is formed using Residual Energy, Node degree, and Distance between adjacent nodes. To improve the data transmission, we proposed hybrid encryption algorithms namely AES (Advanced Encryption standard) with ECC (Elliptic Curve Cryptography) and to forward data from source to the destination, Monarch Butterfly Optimization (MBO) is presented. Finally, nodes location is verified in Sink node by its pseudo random numbers. The performance of the proposed scheme is evaluated through a series of simulations. © 2020 ieee.

关键词： sensor nodes

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A hybridization of Mobile Crowdsensing, Twitter Analytics, and sensor Data for the holistic approach of pollen onsets detection 15

A hybridization of Mobile Crowdsensing, Twitter Analytics, a...

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Nikoletseas, Sotiris Tzamalis, Pantelis Vikatos, Pantelis Univ Patras Patras Greece CTI Patras Greece

ISBN: (纸本)9781728105703

In this paper, we focus on designing a holistic approach to gather, monitor and analyze heterogeneous sources on allergies and allergens into one system. The dimensions of mobile crowdsensing, the sensor-based measurements, and micro-blogging raw texts are combined to address all different situations and needs. We envision that our system can be used for public health monitoring in order to early predict allergy/allergens or allergy-related irritants outbreaks. To the best of our knowledge, our system is the first holistic approach of a surveillance system for allergy in the US region.

关键词： allergy allergens mobile crowdsensing twitter analytics sensors participatory sensing irritants mhealth

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DUCSAN 2020: 1st international Workshop on distributed Ubiquitous computing: systems, Applications, and Networking - Welcome and Committees

DUCSAN 2020: 1st International Workshop on Distributed Ubiqu...

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ieee Annual conference on Pervasive computing and Communications Workshops (PerCom)

ISBN: (数字)9781728147161

ISBN: (纸本)9781728147178

The First international workshop on distributed Ubiquitous computing: systems, Applications, and Networking (DUCSAN) aims to bridge communities that have traditionally focused on different aspects of large-scale pervasive and distributed systems. As technology and research get more and more specialized, the problem of information silo effect becomes more and more prevalent. The main focus of the workshop is to be a forum to encourage thought-provoking discussion between the PerCom community and the system and networking communities. We also hope to encourage interdisciplinary discussion and collaboration through lively and interactive activities.

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An Architecture model for Smart Farming 15

An Architecture model for Smart Farming

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15th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Triantafyllou, Anna Tsouros, Dimosthenis C. Sarigiannidis, Panagiotis Bibi, stamatia Univ Western Macedonia Dep Informat & Telecommun Engn Kozani Greece

ISBN: (纸本)9781728105703

Smart Farming is a development that emphasizes on the use of modern technologies in the cyber-physical field management cycle. Technologies such as the Internet of Things (IoT) and Cloud computing have accelerated the digital transformation of the conventional agricultural practices promising increased production rate and product quality. The adoption of smart farming though is hampered because of the lack of models providing guidance to practitioners regarding the necessary components that constitute IoT based monitoring systems. To guide the process of designing and implementing Smart farming monitoring systems, in this paper we propose a generic reference architecture model, taking also into consideration a very important non-functional requirement, the energy consumption restriction. Moreover, we present and discuss the technologies that incorporate the four layers of the architecture model that are the sensor Layer, the Network Layer, the Service Layer and the Application Layer. A discussion is also conducted upon the challenges that smart farming monitoring systems face.

关键词： Wireless sensor Networks Internet of Things Precision Agriculture Smart Farming Communication technologies Cloud computing

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