IEEE 8th International Symposium on Intelligent Systems and Informatics 2010
DOI: 10.1109/sisy.2010.5647245
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Virtual WRSN — Modeling and simulation of wireless robot-sensor networked systems

Abstract: The paper concerns with modeling and simulation of wireless robot and sensor networked systems. In that goal, a user-oriented Matlab/Simulink software toolbox called Virtual WRSN was designed with aim to support extensive research and development of such kind of non-linear integrated systems. Main applicative modules of the software simulator as well as background theory used for its development are presented in the paper. Some implementation aspects of the developed system are considered as well as some chara… Show more

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Cited by 13 publications
(14 citation statements)
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“…Wireless RobotSensor Networked systems refer to multiple robots operating together in coordination or cooperatively with sensors, embedded computers, and human users [26][27][28][29][30][31][32][33].…”
Section: Wireless Robot-sensor Networked Systemsmentioning
confidence: 99%
“…Wireless RobotSensor Networked systems refer to multiple robots operating together in coordination or cooperatively with sensors, embedded computers, and human users [26][27][28][29][30][31][32][33].…”
Section: Wireless Robot-sensor Networked Systemsmentioning
confidence: 99%
“…The h-index is insensitive to highly cited papers. Mester prefer to consider the research group, for example "Robotics" as the basic unit for computing the h-index [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] …”
Section: The H-index and H5-indexmentioning
confidence: 99%
“…We first substitute equations (7,8,9,11) to (14,15,16) and all to (2), then we express all the 113 linear =(c il ) parameters as:…”
Section: Multi-rotor Dynamic Model By Cpflssmentioning
confidence: 99%
“…The list of non-linear cpFLS parameters consists of six times four integer parameters for defining six fuzzy-partitions having five MFs each, where each partition consists of three classical π-type MFs and for the cpFLS setup one virtual π-type MF composed by one z-type MF at the beginning of the input interval and one s-type MF in the end of the input interval as in equation (8). These six fuzzypartitions serve as antecedents for the four fuzzy-systems like in equation (9) and (12), used for identifying D ij , ij= (13,22,23,33) as defined in equations (3)- (5) and (14)- (16).…”
Section: Simulation Setupmentioning
confidence: 99%