Automatic Identification of Wireless Sensor Network Topology in a IoT Domestic Setup and Discovery of User Routines

João Falcão, Paulo Menezes and Rui P. Rocha

In Proc. of IEEE Int. Conf. on Omni-layer Intelligent Systems (COINS 2020), Barcelona, Spain, Aug. 31 – Sep. 2, 2020. DOI: 10.1109/COINS49042.2020.9191423

Abstract

In recent years, Internet of Things has been gaining popularity due to its capabilities and flexible implementation. Current developments make use of several sensor types build- ing large wireless sensor networks, where each sensor can have a degree of connection over the others. It is usually more perceptible with the use of motion sensors in different rooms where physical paths taken by a subject are strongly correlated to temporal sequences detected in the nodes. This study presents two methods for the detection of these corre- lations between nodes, one requiring the user to perform a path across every sensor and another method that tries to infer information without any explicit human intervention, by analysing the first events of each day where entropy is low. The results show that the latter method, which does not require explicit human intervention, presents some degradation if a low number of sensors is used in the network and these sensors have a high periodic activation. The former method is in general more accurate for small to medium sized networks, but can be problematic in large networks where passing across every sensor can be a tedious or unpractical requirement.

Index Terms — Internet of things; automatic identification; domestic setup; user routines.

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BibTeX

@INPROCEEDINGS(Falcao_et_al_20,

AUTHOR = "Falcao, J. and Menezes, P. and Rocha, R. P.",

TITLE = "Automatic Identification of Wireless Sensor Network Topology in a IoT Domestic Setup and Discovery of User Routines",

BOOKTITLE = "Proc. of IEEE Int. Conf. on Omni-layer Intelligent Systems (COINS 2020)",

ADDRESS = "Barcelona, Spain",

YEAR = "2020",

MONTH = "Aug."

)

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Last update: 20/02/2021