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The advances in pervasive communication, sensing and computing of wireless sensor networks technologiesare leading to the emergence of wireless sensoractornetworks.
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Smart prolong fuzzy wireless sensoractornetwork for agricultural applicationNaseer, Sabri; Syed Alwee Aljunid, Syed Junid, Prof. Dr.; R. Badlishah, Ahmad, Prof. Dr.; Mohd Fareq,Abd Malek, Dr.; Abid, Yahya, Dr.; Rezuwan, Kamaruddin, Prof. Ir. Dr. Hj.; Muhammed Sabri, SalimURI: http://journal.iis.sinica.edu.tw/jise_acceptedpapers.html(http://journal.iis.sinica.edu.tw/jise_acceptedpapers.html) http://dspace.unimap.edu.my:80/dspace/handle/123456789/31525(http://dspace.unimap.edu.my:80/dspace/handle/123456789/31525)Date: 201203
Abstract:
The advances in pervasive communication, sensing and computing of wireless sensor networks technologiesare leading to the emergence of wireless sensoractor networks. The spreading merit of WSAN has led toincreasing interest in rendering them with expert knowledge to be smart and autonomous networks, whichhave the potential to enable a large class of applications in multiple fields. Fusion of artificial intelligentwith wireless sensor actor networks (WSAN) is emerging as a new generation of smart autonomous WSAN.Primarily two most important greenhouse climate parameters are considered which are the temperature andhumidity during diurnal and nocturnal time. Actuator and sensor nodes has been managed by cognitivewireless sensoractor network based greenhouse (CWSANGH) Coordinator node (MGHSN) which mimicsthe brain of the laborer to provide reliable, power conserving, autonomous control system of a greenhouseclimate. Fuzzy logic controller enables engineers to control more complex systems more effectively than theconventional control methods which are not efficient in terms of energy, labor interference, productivity andflexibility. This paper presents the fusion of artificial intelligence represented by FIS with WSAN forgreenhouse climate control. Also the long life operation of network nodes based on the low powerconsumption is presented. Smart algorithm of the network sensor nodes, which contributes of reducing thepower consumption, is addressed in detail. Initial field test for the CWSANGH is presented too. Thecombination of AI with actor WSN proves high efficiently, cost effective method, beside flexibility oftuning the whole system for other agricultural tasks
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Link to publisher’s homepage at http://www.iis.sinica.edu.tw/
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Mohd Fareq Abd Malek, Associate Professor Dr. (/xmlui/handle/123456789/39192) Rezuwan Hj. Kamaruddin, Prof. Ir. Dr. Hj. (/xmlui/handle/123456789/39191) Naseer Sabri Salim (/xmlui/handle/123456789/39190) Syed Alwee Aljunid Syed Junid, Prof. Dr. (/xmlui/handle/123456789/19707) R. Badlishah Ahmad, Prof. Dr. (/xmlui/handle/123456789/22273) School of Mechatronic Engineering (Articles) (/xmlui/handle/123456789/2158) School of Bioprocess Engineering (Articles) (/xmlui/handle/123456789/2171) School of Computer and Communication Engineering (Articles) (/xmlui/handle/123456789/6336)
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