Title
Agent-Based M&S Of Smart Sensors For Knowledge Acquisition Inside The Internet Of Things And Sensor Networks
Abstract
The paper presents a formal model of heterogeneous sensor network and crucial parts of its simulation framework. The main goal of this work is to prepare a virtual environment in which the methods for knowledge acquisition from ubiquitous smart devices can be evaluated. The proposed model allows to freely define sensors and description of observed phenomena. Moreover, the simulation framework SenseSim allows to apply changes in devices' behaviour by using macroprogramming. A core part of the simulator is an agent-based event-driven simulation library called DisSim.
Year
DOI
Venue
2015
10.1007/978-3-319-15705-4_22
Intelligent Information and Database Systems, Pt II
Keywords
Field
DocType
Internet of things, Sensor networks, Distributed multi-resolution simulation
World Wide Web,Virtual machine,Computer science,Internet of Things,Human–computer interaction,Artificial intelligence,Wireless sensor network,Machine learning,Knowledge acquisition
Conference
Volume
ISSN
Citations 
9012
0302-9743
1
PageRank 
References 
Authors
0.37
9
3
Name
Order
Citations
PageRank
Michal Dyk131.48
Andrzej Najgebauer285.52
Dariusz Pierzchała384.13