Abstract | ||
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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. |
Year | DOI | Venue |
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2015 | 10.1109/ICCNC.2015.7069340 | Computing, Networking and Communications |
Keywords | Field | DocType |
hvac,distributed programming,fuzzy logic,planning (artificial intelligence),symbol manipulation,wireless sensor networks,hvac system,wsn,ambient intelligence application,fuzzy logic system,heating ventilation and air conditioning system,high-level programming,symbolic reasoning,user thermal comfort,temperature measurement,hardware,programming,computer numerical control | Middleware,Key distribution in wireless sensor networks,Ambient intelligence,HVAC,Software development process,Engineering,Wireless sensor network,Executable,Distributed computing,Event-driven programming | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Salvatore Gaglio | 1 | 660 | 88.41 |
Giuseppe Lo Re | 2 | 338 | 41.26 |
Gloria Martorella | 3 | 5 | 2.96 |
Daniele Peri | 4 | 24 | 10.14 |