NDN-based IoT with Edge computing

Abstract

The Internet of Things (IoT) consists of smart devices that can capture and sense real-time information for monitoring. IoT is typically applied in some delay-sensitive fields, so it is significant to achieve efficient IoT-based data communications. IoT works based on the IP-based end-to-end data delivery mechanism, but this end-to-end mechanism is inefficient in the IoT scenarios. The Named Data Networking (NDN) is a new data communication paradigm and its advantages might help improve IoT-based data communication efficiency. However, IoT and NDN have different architectures and IoT devices have limited resources, so it is hard to directly deploy NDN in IoT. To exploit the advantages of NDN to improve IoT-based data communication efficiency, we are motivated to integrate IoT with Edge computing and clustering (IoTE) so that edge devices and cluster heads can help achieve request aggregation and in-network caching in NDN. Based on the idea, we propose an NDN-based IoTE (NIoTE) framework so that IoT devices can employ the advantages of NDN to retrieve data from the nearest provider via one data communication process. The experimental results verify the advantages of NIoTE, and demonstrate that NIoTE effectively decreases data communication latency and costs.