« MINES » is an Associate Team between the Inria MiMove project-team and the DSM Group of the Department of Information & Computer Science at the University of California Irvine, funded from 2018 to 2020.


6 June 2019

Prof. Nalini Venkatasubramanian gave a keynote on "Resilient IoT for Community Scale Services" at the 2019 ICIOT conference as part of the Service Federation Conference (SCF) San Diego.

30 May 2019

Paper entitled "Multi-Sensor Calibration Planning in IoT-Enabled Smart Spaces" accepted at the ICDCS 2019 conference.

26 November 2018

The Team attended the Middleware conference in Rennes where they presented their research paper and poster abstract on the Firedex middleware solution, as well as contributed to the organization of the ARM workshop.

1 October 2018

Poster abstract on "An Implementation Experience with SDN-enabled IoT Data Exchange Middleware" accepted at the Middleware 2018 conference.

30 August 2018

Paper entitled "FireDeX: a Prioritized IoT Data Exchange Middleware for Emergency Response" accepted at the Middleware 2018 conference.

12 February 2018

The Inria International affairs department supports the creation of the associate team project MINES.

Project description

Emerging smart-city and smart-community efforts will require a massive deployment of connected entities (Things) to create focused smartspaces. Related applications will enhance citizen quality of life and public safety (e.g., providing safe evacuation routes in fires). However, supporting IoT deployments are heterogeneous and can be volatile and failure-prone as they are often built upon low-powered, mobile and inexpensive devices. The MINES associate team addresses the resulting challenge of enabling interoperability and resilience in large-scale IoT systems through the design and development of a dedicated middleware.

More specifically, focusing on emergency situations, the MINES middleware will:

  1. Enable the dynamic composition of IoT systems from any and all available heterogeneous devices.
  2. Support the timely and reliable exchange of critical data within and across IoT in the enabled large-scale and dynamic system over heterogeneous networks.
Finally, the team will evaluate​ ​the​ ​proposed​ ​solution​ ​in​ ​the​ ​context​ ​of​ ​emergency​ ​response​ ​scenario​ ​use​ ​cases.