Abstract
In this paper we address the problem of automatic sensor composition for servicing human-interpretable high-level tasks. To this end, we introduce multi-level distributed intelligent virtual sensors (multi-level DIVS) as an overlay framework for a given mesh of physical and/or virtual sensors already deployed in the environment. The goal for multi-level DIVS is two-fold: (i) to provide a convenient way for the user to specify high-level sensing tasks; (ii) to construct the computational graph that provides the correct output given a specific sensing task. For (i) we resort to a conversational user interface, which is an intuitive and user-friendly manner in which the user can express the sensing problem, i.e., natural language queries, while for (ii) we propose a deep learning approach that establishes the correspondence between the natural language queries and their virtual sensor representation. Finally, we evaluate and demonstrate the feasibility of our approach in the context of a smart city setup.
Highlights
Large-scale deployments of Internet of Things (IoT) sensing technologies and Big Data have opened up new avenues regarding the types of data that can be collected and information that can be inferred [1]
We evaluate the performance of our proposed multi-level dynamic intelligent virtual sensors (DIVS) model on the SmartCity-natural language queries (NLQs)
word error rate (WER) computes the number of word insertions, substitutions and deletions necessary to convert the hypothesis into the reference, representing the Levenshtein distance [24], which is divided by the number of words of the reference sequence
Summary
Large-scale deployments of Internet of Things (IoT) sensing technologies and Big Data have opened up new avenues regarding the types of data that can be collected and information that can be inferred [1]. The term smart city refers to the idea conceptualised at the beginning of the 21st century, as the synergy between the technological and societal aspects of a city [2] It brings together a myriad of services and applications with the role of leveraging technology to augment quality of life, by means of addressing topics such as smart transport and mobility, smart management and governance, smart economy and smart grids, to name a few [3,4].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
