Connecting physical things to a SmartCity-OS

International audienceA Smart City can be seen as a system in which different Internet of Things (IoT) solutions coexist and cooperate. According with this vision, the number of IoT deployments is, nowadays, in continuous expansion and it involves disparate scenarios, from street lighting, waste management, etc. However those initiatives are standalone, based on different protocols and standards, while the Smart City concept requires, on the other hand, integration and interoperability among all its stakeholders. To face this problem, in this paper we introduce the VITAL-OS architecture, that can monitor, visualize, and control all the operations of a city. Then, we present a practical use case of connecting a Sensor Network to this OS and we describe eCACHACA, a ranking mechanism that facilitates the discovery of services provided by each sensor. Performance has been evaluated via experimentation on the FIT IoT-LAB, and results demonstrate the effectiveness in the discovery of resources

Enabling a lightweight Edge Gateway-as-a-Service for the Internet of Things

International audienceSince its introduction, the Internet of Things (IoT) has changed several aspects of our lives, leading to the commercialization of different heterogeneous devices. In order to bridge the gap among these heterogeneous devices, in some of the most common IoT use cases -e.g., smart home, smart buildings, etc.-the presence of a gateway as an enabler of interoperability is required. In this paper, we introduce the concept of a Gateway-as- a-Service (GaaS), a lightweight device that can be shared between different users thanks to the use of virtualization techniques.Performance has been evaluated on real hardware and results demonstrate the lightweight characteristics of the proposal

LEGIoT: a Lightweight Edge Gateway for the Internet of Things

International audienceThe stringent latency together with the higher bandwidth requirements of current Internet of Things (IoT) applications, are leading to the definition of new network-infrastructures, such as Multi-access Edge Computing (MEC). This emerging paradigm encompasses the execution of many network tasks at the edge and in particular on constrained gateways that have also to deal with the plethora of disparate technologies available in the IoT landscape. To cope with these issues, we introduce a Lightweight Edge Gateway for the Internet of Things (LEGIoT) architecture. It relies on the modular characteristic of microservices and the flexibility of lightweight virtualization technologies to guarantee an extensible and flexible solution. In particular, by combining the implementation of specific frameworks and the benefits of container-based virtualization, our proposal enhances the suitability of edge gateways towards a wide variety of IoT protocols/applications (for both downlink and uplink) enabling an optimized resource management and taking into account requirements such as energy efficiency, multi-tenancy, and interoperability. LEGIoT is designed to be hardware agnostic and its implementation has been tested within a real sensor network. Achieved results demonstrate its scalability and suitability to host different applications meant to provide a wide range of IoT services

Confident-based Adaptable Connected objects discovery to HArmonize smart City Applications

International audienceWith the advent of the Internet of Things (IoT) and its need to boost cooperation between different objects in order to improve the quality and the completeness of the produced information, it is important to understand and to evaluate data which comes out and goes into each thing. In this paper we propose CACHACA, a ranking mechanism for Sensor Networks that facilitate the discovery of services provided by each network element. By running the proposed algorithm, it is possible to evaluate and classify the neighborhood and the available services for each node. Performances of CACHACA has been first evaluated through extensive simulations and them stressed when facing a realistic environment through experimentations run on the FIT IoT-LAB testbed. Achieved results demonstrate its effectiveness in the discovery of services process with regards to traditional approaches