2015 First International Conference on Recent



2015 First International Conference on Recent
2015 First International Conference on
Recent Advances in Internet of Things (RIoT)
April 7-9, 2015
Singapore EXPO Convention and Exhibition Centre,
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,
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.
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.
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."
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
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.
Utilization of CoRE Link settles the heterogeneity of the managed devices and promotes
interoperability. Finally the paper summarizes the contributions and concludes with future
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,
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
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
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
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
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.
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
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
tasks and sensors spatial properties. The aim is to find the most appropriate set of nodes to
answer various missions required by the users.