With the rapid development of information technology, the Internet of Things (IoT) is getting more attentions, which has promoted a new wave of information and industrial tide. In order to reduce the CAPEX, OPEX and TIEX of IoT systems, before the deployment, people often evaluate IoT architectures, protocols, as well as configurations on testbeds. As physical resources of any testbed are limited, it is challenging to conduct large-scale IoT experiments. In this paper, we apply the virtualization technology to optimize an existing network testbed, adopt VMNet to emulate wireless sensors in the IoT experiment, and improve the scalability of the experiment to support large-scale IoT assessments. Our scheme leverages a multi-host collaborative with static multi-sink architecture to solve the bottleneck problem of the largescale IoT emulation and multiple interpolation algorithms to supplement the time continuity and spatial integrity of the sensed data for enhanced fidelity of the IoT experiment. According to our experiments, the virtualized IoT testbed not only reduced the TIEX of IoT emulation sharply, but also enhanced the scalability of IoT experiments.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.