Toward Named Data Networking: An Approach Based the Internet of Things Cloud With Edge Assistance

Abstract

The Internet of Things (IoT) aims to improve the quality of human life by delivering collected data efficiently for real-time monitoring. With the increasing complexity of data, it is hard for an individual IoT device to produce information due to the restrictions of visual angles and resources. For instance, the camera mounted on the front of a vehicle captures only data from the road ahead; it cannot collect information from the side. The local cloud (LC) is a new communication paradigm where cloud members collaboratively generate data locally by sharing their resources, so integration of the IoT and LC (ITLC) should be an effective way to overcome the resource restriction of an individual device. Named data networking (NDN) is a novel and efficient communication mechanism, and its features are able to assist in realizing the ITLC and enhancing the efficiency of ITLC-based data delivery. However, NDN has different architectures and features than the ITLC, so it is challenging to exploit NDN to realize ITLC. In this article, we propose an edge-assisted, NDN-based ITLC framework and provide evaluation results that verify its advances.