Fiche de MEKBUNGWAN Preechai

Titre : In-network Computation for IoT in Named Data Networking
Date : 15 juin 2022
Heure: 17:00
Résumé : With intermittent Internet connectivity condition, traditional IoT deployment cannot provide prompt real-time data analysis and responses to on-site users because steady connection to the cloud cannot be achieved. In-network computation allows application functions to be computed within the network directly on raw sensor data, and publish real-time responses or alerts to users in the field. ActiveNDN is proposed to extend Named Data Networking (NDN) with in-network computation by embedding functions in an additional entity called Function Library, which is connected to the NDN forwarder in each NDN router. Function calls can be expressed as part of the Interest names with proper name prefixes for routing, with the results of the computation returned as NDN Data packets, creating an ActiveNDN network. Our main focus is on performing robust distributed computation, such as analysing and filtering raw data in real-time, as close as possible to sensors in an environment with interm...
Lieu : Teleconference