Section: New Software and Platforms

Software

MACACOapp

Participant : Aline Carneiro Viana.

MACACOapp (https://macaco.inria.fr/macacoapp/) is developped in the context of the EU CHIST-ERA MACACO project (https://macaco.inria.fr/). It consists in a mobile phone application that periodically samples phone’s information on the mobility (through, e.g., GPS sensor, accelerometer and WiFi/Bluetooth/Cellular environment, connectivity type) and on the data traffic it generates (through, e.g., Internet browser history and applications data consumption). The information collected will be time-stamped and will be periodically sent to the central servers for analysis and visualization. We expect that (1) the collected information will allow us studying the correlation between mobility and content demand patterns and that (2) the results of this analysis will allow us inferring the best times and places to transfer content from/to users’ phones location and/or from/to the wireless infrastructure closest to the users’ phones location. Users will be also invited to fill a non-mandatory questionnaire relevant to this study. Our questionnaire collects information about the personality traits and application preferences of people. We expect that the information collected from questionnaire will allow us to analyse the correlation between users personality traits and their application preferences and interests. User’s application preferences and interests will be inferred from the Internet browsing history and running app information obtained from the MACACO App.

The data collection and on-the-phone storage of MACACOapp is designed in accordance with the state-of-the-art best practices in application development. The data collected on the phone is encrypted and inaccessible by any other application installed on the same phone or to any other third party, even in case your phone gets lost or stolen. Moreover, any user’s identity information available in the collected data or in the questionnaire will be completely and irreversibly anonymised before its transfer to the central servers. The on-the-phone collected data and questionnaire data will be transferred via a secure transmission protocol to the central servers. This application is in phase of test.

RIOT

Participants : Emmanuel Baccelli, Oliver Hahm.

RIOT (http://www.riot-os.org) is a nano operating system for the Internet of Things. While requiring as low as 1,5kB of RAM and 5kB or ROM, RIOT offers real time and energy efficiency capabilities, as well as a single API (partially POSIX compliant) across heterogeneous 8-bit, 16-bit and 32-bit low-hardware. This API is developer-friendly in that it enables multi-threading, standard C and C++ application programming and the use of standard debugging tools (which was not possible so far for embedded programming). On top of this, RIOT includes several network stacks, such as a standard IPv6/6LoWPAN stack and a information-centric network stack (based on CCN).

RIOT is developed by an international community of open-source developers that was co-founded by Inria and Freie Universitaet Berlin. The goal of RIOT is to provide a powerful, free, open-source IoT software platform that can be used like Linux is for less constrained machines, both (i) in the context of research and/or teaching, as well as (ii) in industrial contexts.

DragonNet

Participants : Cédric Adjih, Ichrak Amdouni, Hana Baccouch, Antonia Masucci.

DragonNet is a generic framework for network coding in wireless networks. It is a initially result of the GETRF project of the Hipercom2 team.

It is based on intra-flow coding where the source divides the flow in a sequence of payloads of equal size (padding may be used). The design keys of DragonNet are simplicity and universality; DragonNet does not use explicit or implicit knowledge about the topology (such as the direction or distance to the source, the loss rate of the links, ...). Hence, it is perfectly suited to the most dynamic wireless networks. The protocol is distributed and requires minimal coordination. DragonNet architecture is modular, it is based on 5 building blocks (LIB, SIG, Protocol, SEW and DRAGON). Each block is almost independent. This makes DragonNet generic and hence adaptable to many application scenarios. DragonNet derives from a prior protocol called DRAGONCAST. Indeed, DragonNet shares the same principles and theoretical overview of DRAGONCAST. It enriches DRAGONCAST by the information base and signaling required to perform broadcast in wireless networks and in wireless sensor networks in particular.