Abstract
MDS Clone: Multidimensional Scaling Aided Clone Detection in Internet of Things - written by Kshama K B Giri , Mamatha B S published on 2020/07/11 download full article with reference data and citations
Highlights
Association rule mining is an emerging research in data Internet of Things (IoT) is an emerging networking paradigm, in which a large number of interconnected devices communicate with each other to facilitate communications between people and objects [1]
MDSClone circumvents the two major above mentioned issues that emerge in IoT scenarios by adopting a multidimensional scaling (MDS) algorithm
While most of the state-of-the-art clone detection methods assume that each node is always aware of its geographical position, this assumption does not hold for all the IoT devices
Summary
Association rule mining is an emerging research in data Internet of Things (IoT) is an emerging networking paradigm, in which a large number of interconnected devices communicate with each other to facilitate communications between people and objects [1]. In a smart home scenario, each IoT gadget is equipped with embedded sensors and wireless communication capabilities. The sensors are able to gather environmental information and communicate with each other, as well as the house owner and a central monitoring system. In a smart hospital scenario, which could be implemented using body sensor networks (BSN), patients wear implantable sensors that collect body signals and send the data to a local or remote database for further analysis. As another example, in a smart traffic scenario embedded sensors in cars are able to detect accident events or traffic information, and collaboratively exchange such information
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