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The new generation of Internet of Things involves Internet of Mobile Things (IoMT) which lets increasingly moving objects make better operational decisions through pooling data and resources from other connected vehicles and devices. Due to the enormous research and commercial potential, a lot of companies and researchers are attracted to this area. This workshop aims to bring researchers working on Future IoMTs under one roof to discuss the implementation, applications, and possible standardization efforts. We expect that the authors can together bring about significant impacts within this domain and share their knowledge and experiences with members of the research community, commercial sector and wider audiences.
The goal of the workshop is to solicit the recent developments in ultra-high speed, low latency, and massive connectivity communication with a vision of their potential advancement into beyond 5G and towards 6G. We aim to organize the 4th Workshop on “Ultra-high speed, Low latency and Massive Communication for futuristic 6G Networks (ULMC6GN)” in ICC 2021 to bring together academic researchers, industrial practitioners, and individuals working on this emerging exciting research areas to share their new ideas, latest findings, identify and discuss potential use cases, open research problems, technical challenges, and solution methods in this context.
Internet traffic is undergoing constant change. One prominent example is the COVID-19 outbreak, a global pandemic, in March 2020. As a result, billions of people were either encouraged or forced by their governments to stay home to reduce the spread of the virus. This caused many to turn to the Internet for work, education, social interaction, and entertainment. With the Internet demand rising at an unprecedented rate, the question of whether the Internet could sustain this additional load emerged. To answer this question, we review the impact of the first year of the COVID-19 pandemic on Internet traffic. Next, we will take a look at the rise of IoT devices and their traffic patterns. Bio: Anja Feldmann studied CS in Paderborn, Germany and continued her studies at Carnegie Mellon University, where she earned her Ph.D in 1995. The next four years she did research work at AT\&T Labs Research, before taking professor positions at Saarland University, the TU Munich, and the TU Berlin. In May 2012, she was elected the first woman on the employer side of the Supervisory Board of SAP. Since the 2018, Anja is a director at the Max Planck Institute for Informatics in Saarbrücken, Germany. Her current research interests include Internet measurement, traffic engineering and traffic characterization, network performance debugging, and network architecture. She has published more than 70 papers and has served on more than 60 program committees, including as Co-Chair of ACM SIGCOMM 2003 and ACM IMC 2011 and as Co-PC-Chair of ACM SIGCOMM 2007, ACM IMC 2009, ACM HotNets 2014, and ACM CoNext 2020. She is a recipient of the Gottfried Wilhelm Leibniz Preis, the Berliner Wissenschaftspreis, the Schelling Preis, and the Vodafone Innovation Award. She is a member of the German Academy of Sciences Leopoldina, the BBAW, and acatech.
The aim of this workshop is to streamline research on affective sensing applications in communication networks. It further comes in response to a steadfastly growing trend in communication context both to facilitate cost-effective sensing, and to utilize the user’s affect to improve the network operation. These include the use of ISM-band equipment to contactlessly capture human movement, pose, breathing rate, etc., and infer affect whether in standalone or a multimodal manner, i.e., with or with video/audio feeds. Another example is the automating QoE capture to improve the networked service delivery.
The Internet of Things (IoT) has numerous applications in healthcare, from smart wearable or implantable sensors to remote monitoring of elderly, medical device networking, and in general creating a healthcare network infrastructure. IoT has the potential to create a pervasive environment for monitoring patient health and safety as well as improving how physicians deliver care. It can also boost patient engagement and satisfaction by allowing them to spend more time in the comfort of their residence and interact with their care centers whenever needed. A significant driver for the IoT-Health market is the increasing penetration of connected devices in healthcare. Wearable sensors have received a remarkable growth in recent years; however, a pervasive IoT- Health infrastructure is still long way from commercialization. The end-to-end health data connectivity involves the development of many technologies that should enable reliable and location-agnostic communication between a patient and a healthcare provider. IoT- Health workshop aims to focus on the design, development, performance evaluation and experimentation of IoT enabling technologies in healthcare applications.
Future wireless systems will require a paradigm shift in how they are networked, organized, configured, optimized, and recovered automatically, based on their operating situations. Emerging Internet of Things (IoT) and Cyber-Physical Systems (CPS) applications aim to bring people, data, processes, and things together, to fulfill the needs of our everyday lives. With the emergence of software defined networks, adaptive services and applications are gaining much attention since they allow automatic configuration of devices and their parameters, systems, and services to the user's context change. It is expected that upcoming Fifth Generation and Beyond (5G&B) wireless networks, known as more than an extension to 4G, will be the backbone of IoT and CPS, and will support IoT systems by expanding their coverage, reducing latency and enhancing data rate. However, there are several challenges to be addressed to provide resilient connections supporting the massive number of often resource-constrained IoT and other wireless devices. Hence, due to several unique features of emerging applications, such as low latency, low cost, low energy consumption, resilient and reliable connections, traditional communication protocols and techniques are not suitable.
5G networks will deploy many new network services such as ultra-reliable low latency (uRLLC), massive Machine-type communications (mMTC), enhance Mobile Broadband (eMBB) and provide support for massive IoT (mIoT). These in turns will significantly impact how industrial networks are deployed, managed and operated. Industrial networks have evolved from serial bus towards more complex systems, and are converging towards IT. These are networks with specific protocols, constraints and requirements. Currently, the main protocols are EtherNet/IP, Profinet, EtherCAT, Powerlink, Modbus-TCP and others. However, wireless industrial networks are becoming more and more deployed, growing 30% year on year over the last few years. This evolution will only accelerate when 5G will be deployed. Industrial networks have stringent requirements in scale, delays, security and amount of bandwidth. We aim to explore how such diverse and wide range of applications can collectively bring new ideas and research in industrial networks & inter-networking technologies in protocols, architectures, security, and algorithms. This workshop aims to look at a set of problems from the key aspects mentioned above: new services, new routing and addressing methods, new infrastructures, new security mechanisms, mechanisms for scaling massive IoT networks, mechanisms for resiliency, and other aspects of large-scale industrial networks.
We are happy to announce the organization of the first edition of the IEEE ICC workshop: Towards Standardized Secured IoT B5G networking - Artificial Intelligence and Blockchain (AB-SIoT). This workshop will solicit original work targeting beyond 5G (B5G) networking, focusing on research work addressing Artificial Intelligence (AI) and Blockchain, and the integration of both. To add to the practicality of the presented work and have a more interesting fruitful discussion, the workshop will include an interactive session, where experimental testbeds and practical showcases can be demonstrated. The scope of the workshop is detailed below. 5G and massive Internet of Things (IoT) are finally here. While 5G networks will serve as the broadband backbones, IoT will bombard killer applications with the inclusion of smart sensors. The essence of smart city development typically starts from the aggregation of slower data rate through LPWAN, before being sent via 5G/B5G to the server for analysis. There will be ample room for data analytics and new challenges need to be tackled. Will the data be secured during transmission? Will the data be securely recorded? How do we provide confidentiality, integrity and availability in the IoT world? The IoT world is rather new, do we have any best practices and standards on the smart sensors? It seems not quite the case at this point. When there are not sufficient regulations in the smart sensor realm, in what way should we provide the required security level agreements? What is the meaning of service level in the B5G-IoT new era? There is much room for our exploration. Research has already started on beyond 5G (B5G), which will shape future networking, especially towards 2030. Many research funding tools are targeting ideas for B5G, towards 2030 and after. For instance, in Europe, there is EU H2020 ICT-52-2020 Smart Connectivity beyond 5G. The amazing IoT development offers a smart high-level concept for integrating physical and cyber objects. In the coming decade, there will be hundreds of billions of IoT connections. It is inevitable that IoT will find applications in all walks of our lives, spanning energy management, healthcare, transportation, and fin-tech, to name a few. Nonetheless, the intrinsic uncoordinated frequency band and the ever-growing IoT market may pose various critical challenges on public safety, cybersecurity and data privacy. To facilitate IoT best practices, various international and industrial standards should be brought to the scene. These include, but are not limited to, IEEE P2668*, IEEE 1451 family, ISO 27k family, General Data Protection Regulation (GDPR), etc. (*P2668: https://standards.ieee.org/project/2668.html) 5G networks have been designed with intelligence, autonomy and flexibility in mind. Future B5G systems are expected to extend those properties even further. Hence, artificial intelligence (AI) will be in the heart of B5G networking. New foreseen applications and verticals will further push the burdens on privacy and security requirements. Blockchain is an emerging disruptive technology that was initially envisioned for crypto-currency, but since then has been widely adopted for its groundbreaking capabilities that can offer security, privacy, in addition to added reliability to networking. The future IoT B5G network is thus envisioned to widely adopt these two stepping-stone research building blocks, towards providing reliable, flexible, secured, high performance and resilient IoT networking, to fulfill high demands of current and future IoT applications and verticals. This workshop specifically targets future networks of IoT B5G, mainly embracing AI and blockchain. The workshop also solicits papers addressing new ideas, standards, best practices, and innovative applications of IoT, including industrial IoT (IIoT), which will be adopted in the future, and their new requirements. The workshop will pay special attention to efforts integrating both areas, especially those contributing to the standardization of IoT devices, their applications, and the assessment of IoT devices, by proposing methods for grading and ranking of IoT devices in line with IEEE P2668*.
Traditional machine learning tends to be centralized in nature (e.g., in the cloud). However, security and privacy concerns as well as the availability of abundant data and computational resources in wireless networks motivate moving learning algorithms deployed on mobile networks towards the network edge. This has led to the emergence of the rapidly growing area of (mobile) edge learning, which integrates two originally decoupled areas: wireless communication and machine learning. It is widely expected that the advancements in edge learning will provide a platform for implementing edge artificial intelligence (AI) in 5G-and-Beyond systems and supporting large-scale problems ranging from autonomous driving to personalized healthcare. Thus, this proposed full-day workshop will seek to bring together researchers and experts from academia, industry, and governmental agencies to discuss and promote the research and development needed to overcome the major challenges that pertain to this cutting-edge research topic.