Multi-source data retrieval in IoT via named data networking
Marica Amadeo, Claudia Campolo, Antonella Molinaro · 2014
The new era of Internet of Things (IoT) is driving the revolution in computing and communication technologies spanning every aspect of our lives. Thanks to its innovative concepts, such as named content, name-based routing and in-network caching, Named Data Networking (NDN) appears as a key enabling paradigm for IoT. Despite its potential, the support of IoT applications often requires some modifications in the NDN engine for a more efficient and effective exchange of packets. In this paper, we propose a baseline NDN framework for the support of reliable retrieval of data from different wireless producers which can answer to the same Interest packet (e.g., a monitoring application collecting environmental data from sensors in a target area). The solution is evaluated through simulations in ndnSIM and achieved results show that, by leveraging the concept of exclude field and ad hoc defined schemes for Data suppression and collision avoidance, it leads to improved performance in terms of data collection time and network overhead.