DocumentCode :
1678403
Title :
Robustness in Autonomous and Central Wireless Sensor Network: The Orchard Example
Author :
Jafari, Amir M. ; Hentschel, Dirk ; Lang, Walter
Author_Institution :
Inst. for Microsensors, -actuators & -Syst. (IMSAS), Univ. of Bremen, Bremen, Germany
fYear :
2009
Firstpage :
242
Lastpage :
247
Abstract :
For implementation of wireless sensor network in logistic applications and in general in automation process applications, two network structures are considered: autonomous and central. In this paper, these two structures are compared in terms of robustness and control quality. An experiment for controlling the humidity of an apple orchard is conducted. Autonomous and central wireless sensor network are simulated by Prowler simulator. The noise over the network is generated by normal random generator, therefore the simulation is repeated 10 times to be independent of generated random set. The behavior of orchard humidity against applied noises is considered as output of the experiment. Based on the results, autonomous network shows less sensitivity and more robustness when the environmental noise increases. The deviation difference between outputs in two networks is discussed as control quality achievement of two networks.
Keywords :
agricultural products; humidity control; logistics; random processes; wireless sensor networks; Prowler simulator; apple orchard example; automation process application; autonomous network structure; central network structure; control quality achievement; logistic application; normal random generator; orchard humidity control; wireless sensor network; Actuators; Automatic control; Automation; Humidity; Logistics; Network topology; Noise robustness; Wireless communication; Wireless sensor networks; Working environment noise; Autonomous network; Central network; Network robustness; Wireless sensor network; prowler;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Networks Communications, 2009. ICSNC '09. Fourth International Conference on
Conference_Location :
Porto
Print_ISBN :
978-1-4244-4772-5
Electronic_ISBN :
978-0-7695-3775-7
Type :
conf
DOI :
10.1109/ICSNC.2009.89
Filename :
5279415
Link To Document :
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