Short-Term Sensory Data Prediction in Ambient Intelligence Scenarios

Daidone, E

    Risultato della ricerca: Chapter

    3 Citazioni (Scopus)

    Abstract

    Predicting data is a crucial ability for resource-constrained devices like the nodes of a Wireless Sensor Network. In the context of Ambient Intelligence scenarios, in particular, short-term sensory data prediction becomes a key enabler for more difficult tasks such as prolonging network lifetime, reducing the amount of communication required and improving user-environment interaction. In this chapter we propose a software module designed for clustered wireless sensor networks, able to predict various environmental quantities, namely temperature, humidity and light. The software module is supported by an ontology that describes the topology of the AmI scenario and the effects of the actuators on the environment. We applied our module to real data gathered from a public office at our department and obtained significant results in terms of prediction error even in presence of environmental actuators.
    Lingua originaleEnglish
    Titolo della pubblicazione ospiteAdvances onto the Internet of Things
    Pagine89-103
    Numero di pagine15
    Volume2014
    Stato di pubblicazionePublished - 2014

    Serie di pubblicazioni

    NomeADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING

    Fingerprint

    Wireless sensor networks
    Actuators
    Ontology
    Atmospheric humidity
    Topology
    Communication
    Temperature
    Ambient intelligence

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science(all)

    Cita questo

    Daidone, E (2014). Short-Term Sensory Data Prediction in Ambient Intelligence Scenarios. In Advances onto the Internet of Things (Vol. 2014, pagg. 89-103). (ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING).

    Short-Term Sensory Data Prediction in Ambient Intelligence Scenarios. / Daidone, E.

    Advances onto the Internet of Things. Vol. 2014 2014. pag. 89-103 (ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING).

    Risultato della ricerca: Chapter

    Daidone, E 2014, Short-Term Sensory Data Prediction in Ambient Intelligence Scenarios. in Advances onto the Internet of Things. vol. 2014, ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING, pagg. 89-103.
    Daidone, E. Short-Term Sensory Data Prediction in Ambient Intelligence Scenarios. In Advances onto the Internet of Things. Vol. 2014. 2014. pag. 89-103. (ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING).
    Daidone, E. / Short-Term Sensory Data Prediction in Ambient Intelligence Scenarios. Advances onto the Internet of Things. Vol. 2014 2014. pagg. 89-103 (ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING).
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