Title
Dynamic Reconfiguration of a RGBD Sensor Based on QoS and QoC Requirements in Distributed Systems
Abstract
The inclusion of embedded sensors into a networked system provides useful information for many applications. A Distributed Control System (DCS) is one of the clearest examples where processing and communications are constrained by the client's requirements and the capacity of the system. An embedded sensor with advanced processing and communications capabilities supplies high level information, abstracting from the data acquisition process and objects recognition mechanisms. The implementation of an embedded sensor/actuator as a Smart Resource permits clients to access sensor information through distributed network services. Smart resources can offer sensor services as well as computing, communications and peripheral access by implementing a self-aware based adaptation mechanism which adapts the execution profile to the context. On the other hand, information integrity must be ensured when computing processes are dynamically adapted. Therefore, the processing must be adapted to perform tasks in a certain lapse of time but always ensuring a minimum process quality. In the same way, communications must try to reduce the data traffic without excluding relevant information. The main objective of the paper is to present a dynamic configuration mechanism to adapt the sensor processing and communication to the client's requirements in the DCS. This paper describes an implementation of a smart resource based on a Red, Green, Blue, and Depth (RGBD) sensor in order to test the dynamic configuration mechanism presented.
Year
DOI
Venue
2015
10.3390/s150818080
SENSORS
Keywords
Field
DocType
RGBD sensor,system reconfiguration,quality of service (QoS),quality of context (QoC)
Data traffic,Data acquisition,Visual sensor network,Information integrity,Quality of service,Real-time computing,Engineering,Control reconfiguration,Actuator,Distributed computing,Distributed control system
Journal
Volume
Issue
ISSN
15
8.0
1424-8220
Citations 
PageRank 
References 
5
0.62
29
Authors
5