Abstract
| Lingua originale | English |
|---|---|
| Numero di pagine | 6 |
| Stato di pubblicazione | Published - 2015 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
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Programming Distributed Applications with Symbolic Reasoning on WSNs. / Peri, Daniele; Lo Re, Giuseppe; Gaglio, Salvatore; Martorella, Gloria; Gaglio, Salvatore.
2015.Risultato della ricerca: Other
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TY - CONF
T1 - Programming Distributed Applications with Symbolic Reasoning on WSNs
AU - Peri, Daniele
AU - Lo Re, Giuseppe
AU - Gaglio, Salvatore
AU - Martorella, Gloria
AU - Gaglio, Salvatore
PY - 2015
Y1 - 2015
N2 - Programming Wireless Sensor Networks (WSNs) is a complex task for which existing approaches adopt rigid architectures that are only suitable for specific application fields.In previous papers we introduced a programming methodology and a lightweight middleware based on high-level programming and executable code exchange for distributed processing on WSNs. In this paper, we show how high-level programming can be effectively used on WSNs to implement symbolic reasoning.In order to prove the feasibility of our approach, we present a Fuzzy Logic system where the value updates and the rule evaluations are performed in a distributed way. Through the proposed methodology, we discuss the development of an Ambient Intelligence application. In particular, we describe how the nodes of a WSN may compute an estimation of the user thermal comfort by exchanging symbolic rather than numerical data, and control an HVAC (Heating, Ventilation and Air Conditioning) system accordingly.
AB - Programming Wireless Sensor Networks (WSNs) is a complex task for which existing approaches adopt rigid architectures that are only suitable for specific application fields.In previous papers we introduced a programming methodology and a lightweight middleware based on high-level programming and executable code exchange for distributed processing on WSNs. In this paper, we show how high-level programming can be effectively used on WSNs to implement symbolic reasoning.In order to prove the feasibility of our approach, we present a Fuzzy Logic system where the value updates and the rule evaluations are performed in a distributed way. Through the proposed methodology, we discuss the development of an Ambient Intelligence application. In particular, we describe how the nodes of a WSN may compute an estimation of the user thermal comfort by exchanging symbolic rather than numerical data, and control an HVAC (Heating, Ventilation and Air Conditioning) system accordingly.
UR - http://hdl.handle.net/10447/151871
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7069340
M3 - Other
ER -