2015 First International Conference on Recent Advances in Internet of Things (RIoT) April 7-9, 2015 Singapore EXPO Convention and Exhibition Centre, Singapore 2015 First International Conference on Recent Advances in Internet of Things (RIoT) – List of Abstracts Tuesday, April 7, 2015 11:00 – 13:00 Session 1: Smart Cities and Communities (Room 3) 11:00 – 11:25 Engaging Citizen Communities in Smart Cities Using IoT, Serious Gaming and Fast Markerless Augmented Reality Boris Pokric (DunavNET, Serbia); Srdjan Krco (DunavNET & University of Belgrade, Faculty of Organizational Sciences, Serbia); Maja Pokric, Petar Knezevic and Dejan Jovanovic (DunavNET, Serbia) This paper describes a novel approach in engaging citizen communities based on serious gaming incorporating integration of the physical and digital worlds through aggregation of Internet of Things (IoT) service with Augmented Reality (AR) data visualization. The IoT service is provided by the ekoNET solution providing real-time monitoring of air quality and other atmospheric condition environmental data. Data visualization is based on markerless AR methods optimized and adapted for the mobile platforms. Using these technologies we were able to demonstrate usage of real-time environmental data within ARvatar serious game developed for the purpose of enabling a novel as well as more entertaining and engaging way of raising awareness of environmental issues. 11:25 – 11:50 A Citizen-centric Approach towards Global-scale Smart City Platform Takuro Yonezawa (Keio University, Japan); Jose A Galache (University of Cantabria, Spain); Levent Gurgen (CEA French Alternative Energies and Atomic Energy Commission, France); Isabel Matranga (Engineering Ingegneria Informatica SPA, Italy); Hiroyuki Maeomichi (NTT Network Innovation Laboratories, Japan); Tomonori Shibuya (NTT East, Japan) In order to help smart cities to provide responsive services to improve the quality of life of their citizens, a global-scale platform relying on Cloud computing as an enabler to bridge the Internet of Things with Internet of People via Internet of Services, is presented in this paper. This platform will focus on a citizen-centric approach, offering to end-users the possibility of creating their own Cloud services and share them with other citizens, as well as involving other city stakeholders ranging from municipalities to service developers and application integrators. The definition, design and development of the aforementioned platform has been carried out within ClouT project (still ongoing), framed into a joint European-Japanese initiative, where different field trials developed on top of the developed platform, have been deployed in the four cities that take part of the project: Mitaka and Fujisawa in Japan, and Santander and Genova in Europe. 2 11:50 – 12:15 How to Intelligently Make Sense of Real Data of Smart Cities María Victoria Moreno Cano and Antonio Fernando Skarmeta Gomez (University of Murcia, Spain); Antonio J. Jara (HES-SO, Switzerland) This paper analyzes the benefits of big data for smart cities and the potential of the knowledge discovery from sensed data, which enables real-time systems monitoring, management, optimization and anticipation. In this work we present some examples of applications of big data analysis in two scenarios of smart cities. One of them is focused on the SmartSantander testbed, which offers fixed sensors that record temperature, traffic, and noise. The second example describes the services provided in the SmartCampus of the University of Murcia (UMU), as part of the SMARTIE EU project. The results obtained after applying the most appropriate big data techniques in both scenarios show how it is possible to provide efficiently services like the management of the transport congestion and the energy consumption and comfort of buildings in the context of Smart Cities. 12:15 – 12:40 Robust Waste Collection exploiting Cost Efficiency of IoT potentiality in Smart Cities Theodoros Vasileios Anagnostopoulos (ITMO University, St. Petersburg, Russia); Arkady Zaslavsky (CSIRO, Australia); Alexey Medvedev (ITMO University, Russia) Smart Cities constitute the future of civil habitation. Internet of Things (IoT) enable innovative services exploiting sensor data from sensors embedded in the city. Waste collection is treated as a potential IoT service which exploits robustness and cost efficiency of a heterogeneous fleet. In this paper we propose a dynamic routing algorithm which is robust and copes when a truck is overloaded or damaged and need replacement. We also incorporate a system model which assumes two kinds of trucks for waste collection, the Low Capacity Trucks (LCTs) and the High Capacity Trucks (HCTs). By incorporating HCTs we achieve reduction of the waste collection operational costs because route trips to the dumps are reduced due to high waste storage capacity of these trucks. Finally, the proposed models are evaluated on synthetic and real data from the city municipality of St. Petersburg, Russia. The models demonstrate consistency and correctness. 3 15:00 - 15:50 Session 2: Security in IoT (Room 3) 15:00 – 15:25 SMARTIE Project: Secure IoT Data Management for Smart Cities Antonio Fernando Skarmeta Gomez (University of Murcia, Spain); Jens-Matthias Bohli (NEC Laboratories Europe, Germany); María Victoria Moreno Cano and Dan Garcia (University of Murcia, Spain); Peter Langendoerfer (IHP Microelectronics, Germany) The vision of SMARTIE (Secure and sMArter ciTIEs data management) is to create a distributed framework for IoT-based applications storing, sharing and processing large volumes of heterogeneous information. This framework is envisioned to enable end-to-end security and trust in information delivery for decision-making purposes following data owner's privacy requirements. SMARTIE follows a data-centric paradigm, which will offer highly scalable and secure information for smart city applications. The heart of this paradigm will be the "information management and services" plane as a unifying umbrella, which will operate above heterogeneous network devices and data sources and will provide advanced secure information services enabling powerful higher-layer applications. 15:25 – 15:50 Securing Tags to Control Information Flows within the Internet of Things Jatinder Singh and Thomas Pasquier (University of Cambridge, United Kingdom); Jean Bacon (University of Cambridge, France) "To realise the full potential of the Internet of Things (IoT), IoT architectures are moving towards open and dynamic interoperability, as opposed to closed application silos. This is because functionality is realised through the interactions, or more specifically, the exchange of data, between a wide-range of 'things'. Data sharing requires management. Towards this, we are exploring distributed, decentralised Information Flow Control (IFC) to enable controlled data flows, end-to-end, according to policy. In this paper we make the case for IFC, as a data-centric control mechanism, for securing IoT architectures. Previous research on IFC focuses on a particular system or application, e.g. within an operating system, with little concern for wide-scale, dynamic systems. To achieve an entire-system focus, suitable for IoT, we present a certificate-based model enabling secure, trustworthy policy specification, that also reflects real-world IoT concerns such as 'thing' ownership. This approach enables decentralised, distributed, verifiable policy specification, crucial for securing the wide-ranging, dynamic interactions of future IoT applications." 4 17:10 - 18:00 Session 3: M2M (Room 3) 17:10 – 17:35 ID-based Communication for Realizing IoT and M2M in Future Heterogeneous Mobile Networks Ved P. Kafle (National Institute of Information and Communications Technology (NICT), Japan); Yusuke Fukushima and Hiroaki Harai (National Institute of Information and Communications Technology, Japan) Internet of Things (IoT) and Machine to Machine (M2M) communication are expected to be the major paradigm of communications in the future Internet, where trillion of devices will be connected through heterogeneous mobile networks that will vary in both networking and link technologies. The IoT/M2M devices need to remain connected despite they change their points of attachment frequently to the network either due to mobility or simply switching links in the overlapped wireless coverage for better connectivity. To meet the needs of IoT/M2M devices regarding secured connectivity and seamless mobility in heterogeneous networks, we have proposed an ID-based communication network architecture, called HIMALIS, which includes several network functions suitable for IoT/M2M such as secure initial configuration of devices and network access, device discovery, remote monitoring and control. It provides a set of simple programming interfaces to users, thus enabling the development of various IoT/M2M applications independently of underlying networking protocols. We also introduce our recent implementation of HIMALIS sensor devices to demonstrate the proof of concept. These sensor devices have been included in the JOSE testbed network, which is available for using in the Japanese domestic and international joint projects. 17:35 – 18:00 A Lightweight Framework for Efficient M2M Device Management in oneM2M Architecture Soumya Kanti Datta (EURECOM, France); Christian Bonnet (Institut Eurecom, France) Recent years have witnessed an explosion in the number and types of physical devices connected to the Internet. This exponential growth in the volume of objects poses challenges in terms of managing the connected M2M devices. A unified approach for efficient management of the M2M devices while preserving scalability is necessary. This paper proposes an M2M device management framework that can be deployed in a cloud system, M2M gateway or even inside a mobile application. CoRE Link Format is used for lightweight description of smart M2M devices. The capabilities of CoRE Link are extended to describe legacy M2M devices as a part of Internet of Things ecosystem. Open Mobile Alliance Lightweight M2M (OMA LwM2M) Technical Specifications are used in the framework to provide M2M service enablement for end users. Self-management of the M2M device configurations is outlined. The capabilities of the framework are exposed using RESTful web services. oneM2M architecture for device management is described which integrates the proposed framework. Its software implementation is examined to be ultra-lightweight. 5 Utilization of CoRE Link settles the heterogeneity of the managed devices and promotes interoperability. Finally the paper summarizes the contributions and concludes with future directions. Wednesday, April 8, 2015 10:30 - 12:10 Session 4: IoT Networking (Room 3) 10:30 – 10:55 IoT Lab: towards co-design and IoT solution testing using the crowd Joao Fernandes (Alexandra Institute, Denmark); Srdjan Krco (DunavNET & University of Belgrade, Faculty of Organizational Sciences, Serbia); Aleksandra Rankov and Stevan Jokic (DunavNET, Serbia); Michele Nati (University of Surrey, Guildford & University of Rome "La Sapienza", United Kingdom); Nikos Loumis (University of Surrey, Guildford, United Kingdom); Constantinos Marios Angelopoulos (University of Geneva, Switzerland); Sotiris E. Nikoletseas and Theofanis P. Raptis (University of Patras and Computer Technology Institute, Greece); Sebastien Ziegler (Mandat International, Switzerland) IoT Lab is a European funded project researching the potential of crowdsourcing as an extension to the traditional IoT testbed infrastructures. The project proposes an innovative co-design, implementation and testing of solutions with the close involvement of the crowd in the process. Through the use of a smart phone application the crowd can participate in experiments by contributing with sensory data and knowledge. The IoT Lab platform leveraged the IoT ARM (architecture reference model) design framework to create an initial architecture that includes virtualization of crowdsourcing and testbed components as well as ability to federate with other testbeds. 10:55 - 11:20 The Patient-centric Mobile Healthcare System enhancing Sensor Connectivity and Data Interoperability Jongseok Choi (Korea Advanced Institute of Science and Technology, Korea); Minkeun Ha (KAIST, Korea); Janggwan Im (Korea Advanced Institute of Science and Technology, Korea); Jaewook Byun (KAIST, Korea); Kiwoong Kwon, Wondeuk Yoon and Dongsoo Kim (Korea Advanced Institute of Science and Technology, Korea); Sehyeon Heo and Daeyoung Kim (KAIST, Korea) The revolutionary improvements in low power devices and lightweight network protocols are making the mobile healthcare engage attentions. However there are some obstacles to realize mobile healthcare. Connectivity of miniaturized wearable sensors of the body area network (BAN) to the Internet is one of the most important issues in realizing mobile healthcare system. Interoperability is also important in order for sensor data not to be isolated in a local system. In this paper, we designed our mobile healthcare system resolving connectivity and interoperability issues. In our mobile healthcare system, body sensors are 6 integrated by leveraging RESTful web service via CoAP over IPv6 , enabling web-based access from browsers. Extended EPCglobal architecture was used for our system to enable sharing of sensor data among applications with different domain through the standardized protocol.We developed two applications, patient browser and EagleEye, to prove its feasibility. 11:20 - 11:45 Caching in Named Data Networking for the Wireless Internet of Things Mohamed Ahmed M. Hail (University of Lübeck, Germany); Marica Amadeo and Antonella Molinaro (University Mediterranea of Reggio Calabria, Italy); Stefan Fischer (University of Lübeck, Germany) Named Data Networking (NDN) is a promising Information-Centric future Internet architecture. Besides its recognized potentialities as a content retrieval solution in wired domains, NDN has been also recently considered as an enabling technology for the Internet of Things (IoT), thanks to its innovative features like named-based routing and in-network caching. In particular, the possibility of caching at intermediate nodes can be especially useful to reduce the retrieval delay, and limit the network traffic and the load on data producer. However, unlike traditional Internet contents, IoT data are typically transient and periodically refreshed by the producer. At the same time, unlike Internet routers, IoT devices can be resource-constrained, with limitations in terms of energy, caching and processing capabilities. Therefore, caching algorithms designed for (intransient) Internet traffic and Internet routers do not well suit IoT networks. In this paper, we consider a wireless NDN-IoT network and propose a novel distributed probabilistic caching strategy that relies on the freshness of data and on potentially constrained capabilities of devices (energy level and storage capacity). The proposed solution has been evaluated through simulation with ndnSIM and obtained results show that it improves data retrieval performance and the network energy efficiency when compared to traditional NDN caching mechanisms. 11:45 - 12:10 Dynamic Performance of IEEE 802.15.4 Devices Under Persistent WiFi Traffic Cheng Leong Lim and Cindy Goh (University of Glasgow, Singapore); Yun Li (University of Glasgow, United Kingdom); Michael Bolt (Research Asia Lab, NXP Semiconductors, Singapore); Aly Syed (NXP semiconductors, The Netherlands); Patrick Ng(NXP Semiconductors, Singapore) Recent studies have provided coexistence and interaction models between the IEEE 802.15.4 and IEEE 802.11 standards. However, the performance of IEEE 802.15.4 devices under WiFi interference are evaluated based on limit parameters i.e. Packet Reception Rate, which does not exhibit the dynamic interactions in the wireless channel. In this paper, we conduct a series of experiments to demonstrate and evaluate the dynamic interactions between the IEEE 802.15.4 and IEEE 802.11 bgn standards on relevant devices. The performance of four existing Link Quality Estimators (LQEs) of IEEE 802.15.4 nodes under the IEEE 802.11 bgn interference is analyzed. It shows that IEEE 802.15.4 transmission failures are largely due to 7 channel access failures rather than corrupted data packets. Based on the analysis, we propose a new LQE - Packet Reception Rate with Clear Channel Assessment - by merging the Clear Channel Assessment counter with the Packet Reception Rate. In comparison to existing LQEs, results show that the new estimator distinguishes persistent IEEE 802.11 bgn traffic more robustly. 14:30 - 15:15 Session 5: IoT as a Service (Room 3) 14:30 – 14:55 URB-Grade Decision Support Tool: Towards the District as a Service Mirko Alexander Presser (Alexandra Institute, Denmark); Mikel Larrañaga (IK4-Tekniker, Spain) This paper describes the work performed within the URB-Grade project. The URB-Grade project designs, develops and validates a Platform for Decision Support that will allow the city authorities and utilities to promote and choose the correct actions. This will allow upgrading a district to become more energy efficient, cost effective and to increase comfort for its citizens in a District as a Service Platform (DaaS Platform) approach. This paper describes the methodology taken to specify the variables that affect the energy consumption of a district and the actions to reduce them, the global architecture of the platform based on the Service Oriented Architecture paradigm, and the impact that the use of the tool intends to achieve. 14:55 – 15:20 Simurgh: A Framework for Effective Discovery, Programming, and Integration of Services Exposed in IoT Farzad Khodadadi and Amir Vahid Dastjerdi (The University of Melbourne, Australia); Rajkumar Buyya (University of Melbourne, Australia) While Internet of Things has emerged as a great opportunity for industrial investigations and similarly pursued by research communities, most architectures suggested for IoT environment don't utilize latest technologies and standards to provide an integrated and scalable solution. We propose Simurgh, a framework to leverage modern state-of-the-art techniques and standards to define, discover and compose "things" and their corresponding services. Our approach allows for efficient discovery of IoT devices and their exposed services, while also considers humans as main players. This new approach facilitates communication between involved entities by forming a ubiquitous environment of IoT elements, described using standard human- and-machine-readable files, which can easily find each other and call advertised IoT services using standard RESTful web APIs. Furthermore, by chaining IoT service calls together to form flows and then combining and orchestrating these flows, end-users can achieve their desired functionality without having to worry about programming skills. 8 16:40 - 17:30 Session 6: IoT Analytics (Room 3) 16:40 – 17:05 DP1SVM: A Dynamic Planar One-Class Support Vector Machine for Internet of Things Environment Alistair Shilton (The University Of Melbourne, Australia); Sutharshan Rajasegarar, Christopher Leckie and Marimuthu Palaniswami (University of Melbourne, Australia) The Internet of Things realisations, such as smart city applications, generates a vast amount of data, and detecting emerging anomalies in such large unlabelled data is a challenge. Oneclass support vector machines (1SVMs) have ability to detect anomalies by modelling the complex normal patterns in the data. However, they have limitations in terms of higher time complexity. Dynamically updating the 1SVM model for a streaming data by retraining from scratch is a time consuming task. In this work we present a dynamic planar 1SVM that can not only incrementally learn new data as well as remove historic data decrement-ally from the system, but also dynamically adjust the parameters of the algorithm. Evaluation on simulated and benchmark datasets reveals its ability to effectively re-learn with significantly lower computational overhead. Moreover, we analyse its performance for dynamically adjusting the leaning parameters. 17:05 – 17:30 Geospatial Ontology-based Mission Assignment in Wireless Sensor Networks Alia Ibrahim, Francois Carrez and Klaus Moessner (University of Surrey, United Kingdom) Wireless Sensor Networks (WSNs) has been a focus for research in recent years. They enable data gathering across wide range of domains and areas of interest from health service to environment monitoring, security, etc. Sensors are becoming cheaper, and as a result being deployed in high density. At the same time; users requirements of the network are changing frequently, they can even exceed the capabilities of the sensors in the network sometimes. The networks is expected to operate for a long period of time with many nodes operating on batteries. These challenges have raised the attention to the problem of mission assignment in WSNs. Mission assignment aims at allocating tasks to specific sensors in the network – according to their capabilities–to answer users requirements while at the same time reserving the energy of the network. This paper approaches the problem of mission assignment from a semantic and geospatial perspective: because sensors readings and data are associated with spatial properties of the sensors like their location and sensing range; spatial reasoning is an important aspect of mission assignment. However, spatial reasoning is still very limited in WSNs and has not received much attention because of the lack of standardized modelling of space. In the center of our approach an integration of two ontologies; the W3C semantic sensor network ontology (SSN) which describes sensor nodes in the network and GeoSPARQL (the OGC standard for modelling and reasoning about spatial data). we present Geospatial Mission Assignment algorithm (GeoSMA); a spatial based branch and bound algorithm based on the spatial functions and relations between 9 tasks and sensors spatial properties. The aim is to find the most appropriate set of nodes to answer various missions required by the users. 10
© Copyright 2024