Section: New Results
RFID and Internet of Things
Participants : Roudy Dagher, Nathalie Mitton, Roberto Quilez, Loic Schmidt, David Simplot-Ryl, Lei Zhang.
Reader anti-collision protocol
In a Radio-Frequency IDentification network, while
several readers are placed close together to improve coverage and
consequently read rate, reader-reader collision problems happen
frequently and inevitably. High probability of collision not only
impairs the benefit of multi-reader deployment, but also results
in misreadings in moving RFID tags. In order to eliminate or
reduce reader collisions, we propose in [28] an Adaptive Color based
Reader Anti-collision Scheduling algorithm (ACoRAS) for
Distributed ALE
Following the Internet of Things concept [14] , each
object is associated with a unique identifier which will allow to
retrieve information about it in large databases.
In the process of managing a large amount of objects, and
consequently a large amount of events from readers, without
overloading the network, these events have to be filtered and
aggregated. This is the aim of the Application Level Events (ALE)
standard from EPCGlobal, which receives events from readers
and sends a useful and well constructed report to the business
application. The ALE may be connected to several hundreds of
readers. As the number of readers may increase with the increase
of the company, a bottleneck may appear with all readers events
sent to the ALE. A solution for scalability is to distribute the
ALE.
In [37] , we propose an efficient way to solve this problem
based on a Distributed Hash table (DHT). One role of the
ALE is to insulate business application from technical concern
so in our solution, we present a mechanism to distribute the
ALE using Chord, a well-known peer-to-peer lookup system,
and being transparent for business applications. This solution is
compliant with the EPCglobal existing standard, scalable, robust
and transparent for other layers of the middleware. We show that
our solution generates only
Advance Internet of Things
The Internet of Things (IoT) is a network of Internet-enabled objects, whose original purpose would be to interconnect all things in our daily life to build an always connected world. However, most of studies in the current IoT scientific community only focus on the radio-frequency identification (RFID) and wireless sensor network (WSN) based objects and lose the generality features endowed by the original definition of IoT. Furthermore, the emergence and proliferation of smart objects have been significantly changing our daily lives. It has been becoming evident that the objects should far beyond only "be identified and interconnected", but can also be controlled in an intelligent and transparent way independent of third party object (user) profiles and space and time span. In [39] , we proposes a standardization scheme for a new paradigm: Advanced Internet of Things (AIoT), which is based on our proposed Unified Object Description Language (UODL) and allows to identify and interconnect every object and event with a standard format, and makes it easier and flexible for the third party control and management by integrating multiple services issued from cloud computing. The purpose of our proposed AIoT scheme is to build a smart world of always on, always-awareness, always-connected, always-controllable, and establish an "intelligent networking" based relationship among the objects, service suppliers and the third party users. In the scope of AIoT, all the objects are transparent across the networks and can be identified and controlled (with security guarantees) via a standard prototype anytime and anywhere.