Title
A logic approach to virtual sensor networks
Abstract
This paper presents a technique that builds a layer of virtual sensors over a sensor network. The virtual sensors are able to infer and provide data for the physical sensors that do not work. The key assumption of our approach is that the physical quantities sensed by the sensors are related. The relations among sensors are unknown, but during a learning phase the layer of virtual sensors infers an approximation of them by means of fuzzy rules. The inferred fuzzy rules capture these relations in a simple way even when the corresponding mathematical models are complex. The set of fuzzy rules inferred for a node can be used to obtain virtual values when the real ones are not available. In order to develop our technique we improved the Tree Routing Protocol in charge to deliver data from the nodes to the base station and used Snlog, a Datalog-like language that supports the implementation of distributed algorithms for Wireless Sensor Network in a declarative way. We developed a system prototype and performed preliminary experiments that prove the validity of our approach.
Year
DOI
Venue
2010
10.1145/1866480.1866503
IDEAS
Keywords
Field
DocType
virtual sensor,corresponding mathematical model,physical quantity,logic approach,wireless sensor network,base station,virtual value,datalog-like language,tree routing protocol,fuzzy rule,virtual sensor network,physical sensor,distributed algorithm,routing protocol,sensor network,mathematical model
Key distribution in wireless sensor networks,Base station,Data mining,Computer science,Soft sensor,Fuzzy logic,Visual sensor network,Brooks–Iyengar algorithm,Distributed algorithm,Wireless sensor network,Database
Conference
Citations 
PageRank 
References 
4
0.51
12
Authors
4
Name
Order
Citations
PageRank
Luciano Caroprese114021.01
Carmela Comito219327.10
Domenico Talia31837175.72
Ester Zumpano451862.16