First experiences with Personal Networks as an enabling platform for service providers

By developing demonstrators and performing small-scale user trials, we found various opportunities and pitfalls for deploying personal networks (PNs) on a commercial basis. The demonstrators were created using as many as possible legacy devices and proven technologies. They deal with applications in the health sector, home services, tourism, and the transportation sector. This paper describes the various architectures and our experiences with the end users and the technology. We conclude that context awareness, service discovery, and content management are very important in PNs and that a personal network provider role is necessary to realize these functions under the assumptions we made. The PNPay Travel demonstrator suggests that PN service platforms provide an opportunity to develop true trans-sector services

A Survey on Virtualization of Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are gaining tremendous importance thanks to their broad range of commercial applications such as in smart home automation, health-care and industrial automation. In these applications multi-vendor and heterogeneous sensor nodes are deployed. Due to strict administrative control over the specific WSN domains, communication barriers, conflicting goals and the economic interests of different WSN sensor node vendors, it is difficult to introduce a large scale federated WSN. By allowing heterogeneous sensor nodes in WSNs to coexist on a shared physical sensor substrate, virtualization in sensor network may provide flexibility, cost effective solutions, promote diversity, ensure security and increase manageability. This paper surveys the novel approach of using the large scale federated WSN resources in a sensor virtualization environment. Our focus in this paper is to introduce a few design goals, the challenges and opportunities of research in the field of sensor network virtualization as well as to illustrate a current status of research in this field. This paper also presents a wide array of state-of-the art projects related to sensor network virtualization

An Architecture for M2M Enabled Social Networks

Social Networks (SNs), such as Facebook, Twitter, Google+, are becoming more and more popular nowadays. People are now more connected than before. They share information, pictures, videos and news with their family and friends. However, sharing physical phenomena in SNs is still a manual process done by people themselves. For instance, people would like to share current health status, feelings, thoughts, weather or riding information with friends. The sharing of ambient information automatically in SNs can promote independent living. Moreover, it can enhance the autonomy and confidence of elderly people via continuous monitoring and health support. A set of biometric sensors, for example, placed within a patient body can inform a doctor about patient’s health status; hence the doctor can perform a remote diagnosis. Nowadays people are surrounded by devices like smartphone, sensors, cameras, computers and many other devices known as machines. These devices can automatically collect contextual information from the neighborhood. This thesis proposes an architecture for posting contextual information in SNs to support the automatic sharing of physical phenomena. In the proposed architecture, machines collect the contextual data through an overlay-based gateway to support scalability in terms of number of devices. Considering the resource-constrained devices, the architecture makes use of the Constrained Application Protocol (CoAP), a lightweight standard protocol. An SN processes that data into shareable information and disseminates it as appropriate within the users’ Community of Interests (COIs) (e.g., family, friends). A proof of concept prototype is developed to verify the feasibility of the proposed architecture and its performance has been partially evaluated

Experimental design for a next generation residential gateway

Puolella eurooppalaisista kotitalouksista on laajakaistaliittymä. Yleensä käyttäjä kytkeytyy ulkoiseen verkkoon kotireitittimen avulla (residential gateway). Internet-yhteyden ja IP-perustaisten palveluiden kuten VoIP- ja IPTV-palveluiden lisäksi kotireititin muodostaa kotiverkon ytimen kodin verkkolaitteiden liittyessä siihen. Kotiverkkojen lukumäärän ja koon kasvun seurauksena kotiverkoissa voidaan tunnistaa kolme ongelmaa. Ensinnäkin kotiverkkojen hallinta on haastavaa kotiverkossa tuettavien verkkotekniikoiden ja laitteiden määrän kasvaessa. Toiseksi sisällönhallinta. on monimutkaistunut käyttäjien luodessa ja kuluttaessa yhä enemmän sisältöä. Kolmanneksi uudet verkkoperustaiset tekniikat kuten sähköisen terveydenhuollon ratkaisut (e-health) integroituvat usein heikosti olemassa olevien kotiverkkolaitteiden kanssa. Tässä diplomityössä edellä mainittuihin ongelmiin pyritään löytämään yhtenäinen ratkaisu kotireititintä apuna käyttäen. Työssä analysoidaan uudentyyppisen kotireitittimen vaatimuksia käyttämällä hyväksi joukkoa käyttötapauksia. Vaativuusanalyysin perusteella luodaan malli, joka sisältää seuraavat pääkomponentit. (i) Virtuaalisointitekniikkaan pohjautuva kotireititinarkkitehtuuri. (ii) Kotireititinperustainen mekanismi yhteisöverkostoiden pystyttämiseen kotiverkkojen välillä. (iii) Hajautettu tiedostojärjestelmä yhteisöverkkojen pystyttämiseksi ja parannetun sisällönhallinnan ja sisällön jakamisen mahdollistamiseksi. (iv) Mekanismeja joiden avulla vierailevat käyttäjät voivat hyödyntää muiden käyttäjien kotireitittimien resursseja. Työssä. toteutetaan em. ydintoimintoja laaditun mallin perusteella ja toteutuksen toimivuus verifioidaan käyttötapauksiin perustuvalla testauksellaToday over half of the European homes have a broadband Internet connection. Typically, this connection is enabled through a residential gateway device at the users' premises. In addition to facilitating triple play services, this gateway also forms the core of users' home networks by connecting their network-enabled devices. While the number and the size of such home networks keep on increasing, three major problems can be identified in current systems. First, home network management is getting increasingly complex, and a growing number of networking technologies and connected devices must be supported and managed. Second, content management has become difficult. Users are generating an increasing amount of content and this content is stored (and sometimes shared) in an almost anarchical manner across different home network devices as well as online. Third, new network-enabled services, such as e-health systems, are emerging, but are typically poorly integrated into existing home networks. There is a clear need for home networking solutions that address these problems. In this thesis, we adopt a gateway-centric approach to address these problems in a unified manner. We concretise the requirements for a next generation residential gateway by analysing a set of future home networking use cases. These requirements serve as input to our gateway system design. In summary, our design includes the following main components. (i) A residential gateway architecture based on virtualization. This enables new features and new ways to implement the other components of our design. (ii) A gateway-based mechanism to set up community networks between different home networks. (iii) A distributed file system to establish community networks and to enable improved content management and sharing. (iv) Mechanisms for visiting gateway users to utilize other users' gateway resources. We implement these core functionalities and develop a proof-of concept prototype. We successfully validate our prototype through use case driven testbed experiments. Finally, we believe that the insights gained from this study and the prototype implementations are important overall contributions that can be used in the future research to further explore the limitations and opportunities of this gateway-centric approach

Enabling peer-to-peer remote experimentation in distributed online remote laboratories

Remote Access Laboratories (RALs) are online platforms that allow human user interaction with physical instruments over the Internet. Usually RALs follow a client-server paradigm. Dedicated providers create and maintain experiments and corresponding educational content. In contrast, this dissertation focuses on a Peer-to-Peer (P2P) service model for RALs where users are encouraged to host experiments at their location. This approach can be seen as an example of an Internet of Things (IoT) system. A set of smart devices work together providing a cyber-physical interface for users to run experiments remotely via the Internet. The majority of traditional RAL learning activities focus on undergraduate education where hands-on experience such as building experiments, is not a major focus. In contrast this work is motivated by the need to improve Science, Technology, Engineering and Mathematics (STEM) education for school-aged children. Here physically constructing experiments forms a substantial part of the learning experience. In the proposed approach, experiments can be designed with relatively simple components such as LEGO Mindstorms or Arduinos. The user interface can be programed using SNAP!, a graphical programming tool. While the motivation for the work is educational in nature, this thesis focuses on the technical details of experiment control in an opportunistic distributed environment. P2P RAL aims to enable any two random participants in the system - one in the role of maker creating and hosting an experiment and one in the role of learner using the experiment - to establish a communication session during which the learner runs the remote experiment through the Internet without requiring a centralized experiment or service provider. The makers need to have support to create the experiment according to a common web based programing interface. Thus, the P2P approach of RALs requires an architecture that provides a set of heterogeneous tools which can be used by makers to create a wide variety of experiments. The core contribution of this dissertation is an automaton-based model (twin finite state automata) of the controller units and the controller interface of an experiment. This enables the creation of experiments based on a common platform, both in terms of software and hardware. This architecture enables further development of algorithms for evaluating and supporting the performance of users which is demonstrated through a number of algorithms. It can also ensure the safety of instruments with intelligent tools. The proposed network architecture for P2P RALs is designed to minimise latency to improve user satisfaction and learning experience. As experiment availability is limited for this approach of RALs, novel scheduling strategies are proposed. Each of these contributions has been validated through either simulations, e.g. in case of network architecture and scheduling, or test-bed implementations, in case of the intelligent tools. Three example experiments are discussed along with users' feedback on their experience of creating an experiment and using others’ experimental setup. The focus of the thesis is mainly on the design and hosting of experiments and ensuring user accessibility to them. The main contributions of this thesis are in regards to machine learning and data mining techniques applied to IoT systems in order to realize the P2P RALs system. This research has shown that a P2P architecture of RALs can provide a wide variety of experimental setups in a modular environment with high scalability. It can potentially enhance the user-learning experience while aiding the makers of experiments. It presents new aspects of learning analytics mechanisms to monitor and support users while running experiments, thus lending itself to further research. The proposed mathematical models are also applicable to other Internet of Things applications

A Data Annotation Architecture for Semantic Applications in Virtualized Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have become very popular and are being used in many application domains (e.g. smart cities, security, gaming and agriculture). Virtualized WSNs allow the same WSN to be shared by multiple applications. Semantic applications are situation-aware and can potentially play a critical role in virtualized WSNs. However, provisioning them in such settings remains a challenge. The key reason is that semantic applications provisioning mandates data annotation. Unfortunately it is no easy task to annotate data collected in virtualized WSNs. This paper proposes a data annotation architecture for semantic applications in virtualized heterogeneous WSNs. The architecture uses overlays as the cornerstone, and we have built a prototype in the cloud environment using Google App Engine. The early performance measurements are also presented.Comment: This paper has been accepted for presentation in main technical session of 14th IFIP/IEEE Symposium on Integrated Network and Service Management (IM 2015) to be held on 11-15 May, 2015, Ottawa, Canad