Enabling Smart Cities Through a Cognitive Management Framework for the Internet of Things

Transcription

1 Enabling Smart Cities Through a Cognitive Management Framework for the Internet of Things Panagiotis Vlacheas 1, Vera Stavroulaki 1, Toon Norp 2, Gianmarco Baldini 3, Raffaele Giaffreda 4, Panagiotis Demestichas 1 1 University of Piraeus Research Center 2 TNO 3 Joint Research Centre, EC 4 CREATE-NET Presenter: Gianmarco Baldini, Joint Research Centre, EC

2 2 Outline Introduction Cognitive Framework Main Concepts Main Enablers Functional Architecture and ETSI M2M Mapping Usage Control Smart City Scenario Overview Realization Benefits Conclusions

3 Introduction The proposed cognitive management framework focuses mainly on four axes: How we plan to hide heterogeneity of connected objects; How we ensure resilience (ability to deliver service that can be justifiably trusted in spite of continuous changes) of a dynamic service provisioning; How we instruct systems to assess proximity (metric of relevance) between IoT applications and useful objects; How the use of cognitive technologies (ability to dynamically select behavior through self-management, taking into account information and knowledge on the context of operation, as well as policies) offer intelligence while minimizing users intervention. 3

4 Cognitive Framework Main Concepts Virtual Objects (VOs) VOs are virtual representations of any real-world object (RWO) Composite Virtual Objects (CVOs) A CVO is a cognitive mash-up of semantically interoperable VOs (and their services) CVOs enable the re-use of existing VOs outside their initial context and domain CVOs render resilient services in accordance with the application requirements due to their ability to maintain their performance as the context changes Service Logic 4 Represents the translation of the application requirements into services and associated Quality of Service (QoS) requirements to be fulfilled by CVOs Addresses the need to reduce complexity levels for the users of the platform

5 Cognitive Framework Main Enablers Cognition in the VO level Self-management and self-configuration of VOs 5 To maintain a constant link to the relevant RWOs and to manage the relevant data flows Cognition in the CVO level Decision upon the VOs and CVOs that should be (re-)used to meet the application requirements Dynamic creation, self-management and selfconfiguration of CVOs in an autonomous manner Cognition in the Service Logic Automatic translation of a user request to a system request for a service Security and Privacy Proximity User Authentication and Usage Control for data and services offered by VOs/CVOs Relatedness between IoT applications and objects for automatic and scalable selection of VOs/CVOs

6 Cognitive Framework Functional Architecture and ETSI M2M Mapping The ETSI TC M2M Service Enablement Framework 6

7 Cognitive Framework Functional Architecture and ETSI M2M Mapping ETSI TC M2M icore Option 1 icore Option 2 M2M Device Real World Object Real World Object Device/Gateway Capability Service Virtual Object Real World Object Network Service Capabilities Composite Virtual Object Virtual Object Option 1: mid interface is mapped on the VO interface Option 2: mia interface is mapped on the VO interface Adopting Option 2 and mapping VOs on mla interface brings the following advantages: - creation of added-value services (due to the composition of VOs into CVOs) - development of innovative cross-domain applications (due to CVO abstraction) - dynamic service provision tailored to the needs of end users (due to service logic level) - semantic description and discovery of mla interfaces in a registry. 7

8 Usage Control in icore Based on: Policies that govern usage control implemented in Event-Condition-Action (ECA) rules Usage control for data/services/devices Authorizations for users/applications Obligations: rights and duties Policy Operators: propositional, temporal, cardinality, identity/context/environment attributes Support for dynamic contexts Implemented using Eclipse Modeling tools and Eclipse modeling framework 8

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10 Smart City Scenario This scenario refers to how the proposed framework may be exploited to protect and facilitate the daily life in the smart city An elderly woman has opted for an assisted living service that is provided by a medical center A doctor, who monitors the woman s health remotely from the medical center, receives an alarm that the woman has fainted An ambulance is informed to run for assistance. A smart driving application is used by the ambulance, so as to reach the woman s home as fast as possible 10

11 Smart City Scenario The emulated smart city includes a smart home that is equipped with actuators and sensors hosted by Wireless Sensor Network (WSN) Platforms A and B respectively The CVO in the medical center uses the Cosm on-line database service, in order to get the sensor measurements from WSN Platform B and to send the actuator commands to WSN Platform A In the smart city, there are various types of sensors, which are connected with the type of WSN Platform C using various access technologies and/ or communication protocols sharing their data

12 Benefits The benefits of the framework can be summarized to the following: Easy creation and delivery of added-value services from business actors allowing them to increase profits and market share Service provision dynamically tailored to the needs of end users, even being able to act on behalf of them Decrease on CAPEX for telecom and service providers due to a gradual replacement of legacy technology enabled by VO abstraction without disrupting the currently delivered services Development of innovative cross-domain applications due to CVO abstraction Support of large-scale networking through cognition Reduced OPEX in terms of time, maintenance, energy consumption via cognition / proximity Decrease on time-to-market by reusing available VOs and New business roles as (C)VOs may be owned by different stakeholders 12

13 Conclusions The framework is required to address the heterogeneity of objects, while guaranteeing the resilience of associated services and their dynamic provisioning Proximity, cognition and security/privacy are identified as promising solutions that enable applications to use the most relevant connected objects in an intelligent, autonomic and secure way The functional architecture and the associated mapping to ETSI M2M solutions are presented The framework may be useful in smart city scenarios that span horizontally across several application domains Several benefits are identified 13

14 Acknowledgement The research leading to these results has been performed within the icore project ( and received funding from the European Community's Seventh Framework Programme (FP7/ ) under grant agreement n Thank You! icore Website, Follow icore_project on Twitter 14

15 15 Backup

16 Cognitive Framework Functional Architecture and ETSI M2M Mapping M2M M2M M2M M2M M2M 16