Efficient forwarding strategy in a NDN-based internet of things

Abstract

The future internet will include a variety of heterogeneous wireless networks and all kinds of smart sensors connected over wireless links. The size and cost constraints on sensor nodes result in corresponding constraints on resources such as energy, memory, computational speed and communications bandwidth which in turn limits the processing and communication capabilities of the sensor nodes. Named data networking (NDN) emerged as a promising new routing mechanism aimed to cope with the increasing number of heterogeneous networks and the need for efficient and robust data dissemination. But, one of the bottlenecks that hinders the full applicability of such a NDN-based approach to the future internet is the energy requirements. In this study, we propose a novel geographic interest forwarding scheme where we add support for push-based traffic and different forwarding techniques designed to balance the energy consumption across the network. Our simulation results show that our proposed approach is more scalable and outperforms the alternative methods in term of data retrieval delay and overall energy consumption.