All the workshops will be held at Southern University of Science and Technology, Teaching Building 1, Shenzhen.
- The 2nd ACM International Workshop on the Internet of Safe Things
- The 1st ACM International Workshop on Smart Cities and Fog Computing (CitiFog)
- The 6th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems
- The 2nd ACM International Workshop on the Engineering of Reliable, Robust, and Secure Embedded Wireless Sensing Systems (FAILSAFE)
- The 7th International Workshop on Real-World Embedded Wireless Systems and Networks (REALWSN)
- Data: Acquisition To Analysis (DATA)
- The 1st ACM International Workshop on Blockchain-enabled Networked Sensor Systems
- The 1st Building Dynamic IoT Applications with Tock OS Workshop
The Internet of Things has become increasingly popular and innovative. With the rise of connected devices, we have an opportunity to significantly improve the safety of legacy systems. For instance, insights from data across systems can be exploited to reduce accidents, improve air quality and support disaster events. IoT based cyber-physical systems (CPS) also bring new risks that arise due to the unexpected interaction between systems and the larger number of attack vectors on these systems. These safety risks can arise in the context of medical devices, smart home appliance control, smart car design or conflicts in policy execution at a societal scale.
The Internet of Safe Things workshop seeks to bring together researchers to create solutions for the development of safe cyber-physical systems. As safety is inherently linked with the security and privacy of a system, we also seek contributions in these areas that address safety concerns. We seek to develop a community that systematically dissects the vulnerabilities and risks exposed by these emerging CPSes, and create tools, algorithms, frameworks and systems that help in the development of safe systems.
We seek contributions across domains - autonomous vehicles, smart homes, medical devices, smart grid; and across disciplines - systems, control, human-computer interaction, security, machine learning, reliability, and verification.
Fog computing is increasingly crucial in the era of Internet-of-Things for realizing the vision of Smart X. The goal of fog computing is to distribute computation, communication, data storage and other digital resources closer to end users dynamically and intelligently, enabling a continuum of paradigms between cloud computing and edge computing. Fog computing has a significant potential for smart cities and smart buildings, for example, interconnecting local smart devices, smart sensors, smart facilities, and smart infrastructure.
This workshop aims to exchange and disseminate the latest developments and ideas in the industry and academics for fog computing and its applications to smart cities. CitiFog focuses on the system implementation and real-world application prototypes for fog computing. By sharing and exchanging the practical knowledge of fog computing, we hope to bolster further synergy and collaborations for a wide range of smart cities and fog computing research in practice.
Papers and presentations are invited in all emerging aspects of fog computing for smart cities, and the relevant aspects of data analysis, applications and services.
Complementing the topics of ACM SenSys 2018, ENSsys 2018 workshop will bring researchers together to explore the challenges, issues and opportunities in the research, design, and engineering of energy-harvesting, energy-neutral and intermittent sensing systems. These are an enabling technology for future applications in smart energy, transportation, environmental monitoring and smart cities. Innovative solutions in hardware for energy scavenging, adaptive algorithms, and power management policies are needed to enable either uninterrupted and intermittent operation.
High quality technical articles are solicited, describing advances in sensing systems powered by energy harvesting, as well as those which describe practical deployments and implementation experiences.
The FAILSAFE workshop will provide a forum to discuss tools and techniques to address the difficulties and challenges of deploying Embedded Wireless Sensor Systems (EWSS) in the wild, and aim to produce reliable, robust systems.
We will address three main themes in this workshop: Deployments and how to engineer them; Security both at design and run time, and Designs for Robust and Resilient Control. Such applications could include control systems used for: urban water distribution networks; industrial control plants like off shore oil platforms; precision agriculture facilities; urban transit networks; or any similar application that requires distributed sensing.
We solicit contributions that either have been used in a real deployment, are based on experiences from a real deployment, or are intended to reduce the occurrence of faults and failures in practical deployments. We seek submissions about any tools, methods, techniques, or approaches to engineer robust and resilient EWSS such as novel simulation frameworks, the use of formal methods like model checking, design methodologies, languages that explicitly handle faults and failures, forms of unit, integration, or run time testing, models to test performance during faults and failures, and anything else relevant to this discussion.
Complementing the topics of ACM SenSys 2018, the REALWSN workshop will bring researchers and industry practitioners together to explore the challenges, issues, and opportunities in the development and deployment of real-world embedded wireless systems and networks.
Embedded wireless sensors and actuators are increasingly used to build large-scale distributed systems that do not rely on existing infrastructure, such as wired links or a power-grid. By integrating them into the Internet, these wireless sensing systems become a vital component of the ever growing Internet of Things (IoT). Recently, emerging IoT technologies such as smart homes, smart cities or smart agriculture heavily influenced wireless sensor network (WSN) research and stimulated the deployment of several real-world applications. However, the practical deployment of WSNs and IoT applications still proves to be cumbersome and not sufficiently automated. Even state-of-the-art algorithms and protocols need to be carefully tuned manually, in order to adapt to the often harsh environmental conditions and/or to the application requirements.
Recently, other applications areas have emerged, such as mobile sensing, crowd sensing, smartphone sensing, and cyber-physical systems. Even if their concepts and approaches differ from each other, these applications share the same real-world problems, which even extend to challenges such as keeping up the interest of human users, and enabling privacy or security.
Thus, REALWSN solicites contributions addressing development and deployment of wireless sensing applications in the real world, targeting sensing applications such as Wireless sensor and actuator networks, Mobile sensing, smartphone sensing; Crowd sensing; Cyber physical systems; Internet of Things applications.
Sensor systems are proliferating in many parts of research such as Internet of Things (IoT) and Cyber-Physical Systems (CPS). This proliferation has led to an explosion of activity in many applications that cover a multitude of areas. As these research progresses, sharing of data has become a frequent bottle neck in showing repeatability and allowing follow up research from the community.
The Data: Acquisition To Analysis (DATA) workshop aims to solicit datasets and tools from past and current sensor deployments and data gathering efforts. The workshop aims to bring together a community of application researchers, and algorithm researchers in the sensing systems domain to promote breakthroughs from the integration of the communities. The workshop will foster cross-domain understanding by enabling both the understanding of algorithmic needs and data collection limitations.
Sensing technologies are being widely used in environments such as smart home, smart building, vehicular network, etc. Information collected from networked sensor systems are valuable if shared and tracked correctly. However, today’s sensing-cloud paradigm does not genetically support trust management and privacy preservation; it also does not encourage information sharing in multi-stakeholder settings through incentives and payment mechanisms. The emerging blockchain and other distributed ledger technologies offer a possibility to 1) ensure data protection, 2) monetize information exchange, and 3) reduce sharing and maintenance costs.
We solicit high quality position papers and research papers that address opportunities and challenges at the intersection of networked sensing/IoT and blockchain. We aim to set up a stage for industry and academia to share wins and lessons combining both disciplines. We welcome contributions to all relevant research on application, system, network and security.
The Tock operating system is a secure, embedded kernel for sensor network and Internet of Things systems using Cortex-M micro controllers. Written in the Rust language, it supports kernel extensions in Rust as well as multiple concurrent applications written in C, Rust, or Lua. This tutorial will give an introduction to programming in Tock as well as an overview of its architecture. Attendees will write a user-land networking application in C as well as a kernel extension in Rust. Attendees will be provided hardware kits, which they may optionally purchase as part of the registration fee.