Wireless sensor actor network based on fuzzy inference system for greenhouse climate control

Naseer Sabri, S. A. Aljunid, B. Ahmad, Abid Yahya, R. Kamaruddin, M. S. Salim

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

The pervasive merit of wireless sensor networks has led to a swelling interest in rendering them to be smart and autonomous which have the potential to enable a large class of applications in multiple fields. A novel cognitive wireless sensor-actor network based Greenhouse climate control (CWSAN-GH) is presented in this research. Fusion of artificial intelligent with nowadays Wireless Sensor Actor Networks (WSAN) is a promising era of smart WSAN. Primarily two most important greenhouse climate parameters are considered which are the temperature and humidity during diurnal and nocturnal time. Actuator and sensor nodes has been managed by CWSAN-GH Coordinator node (MGHSN) which mimics the brain of the planter to provide reliable, power conserving, autonomous control system of a greenhouse. The conventional control methods are not efficient in terms of energy, labor interference, productivity and flexibility. In this study, the adoption of Artificial Intelligent (AI) approach to controlling tasks within Wireless Sensor-Actor Network (WSAN) is presented. Fuzzy inference system has been designed and fused within the coordinator node of WSAN, hardware and software of network nodes and sensors has been presented. Initial field test for the CWSAN based greenhouse are also presented. The combination of AI with actor WSN proves high efficiently, cost effective method, beside flexibility of tuning the whole system for other agricultural tasks.

Original languageEnglish
Pages (from-to)3104-3116
Number of pages13
JournalJournal of Applied Sciences
Volume11
Issue number17
DOIs
Publication statusPublished - Sep 21 2011

Fingerprint

Climate control
Greenhouses
Fuzzy inference
Wireless sensor networks
Sensor nodes
Swelling
Brain
Atmospheric humidity
Fusion reactions
Actuators
Tuning
Productivity
Personnel
Hardware
Control systems
Sensors

All Science Journal Classification (ASJC) codes

  • General

Cite this

Sabri, Naseer ; Aljunid, S. A. ; Ahmad, B. ; Yahya, Abid ; Kamaruddin, R. ; Salim, M. S. / Wireless sensor actor network based on fuzzy inference system for greenhouse climate control. In: Journal of Applied Sciences. 2011 ; Vol. 11, No. 17. pp. 3104-3116.
@article{f255473af8024dbf825cc85e7c06f5a2,
title = "Wireless sensor actor network based on fuzzy inference system for greenhouse climate control",
abstract = "The pervasive merit of wireless sensor networks has led to a swelling interest in rendering them to be smart and autonomous which have the potential to enable a large class of applications in multiple fields. A novel cognitive wireless sensor-actor network based Greenhouse climate control (CWSAN-GH) is presented in this research. Fusion of artificial intelligent with nowadays Wireless Sensor Actor Networks (WSAN) is a promising era of smart WSAN. Primarily two most important greenhouse climate parameters are considered which are the temperature and humidity during diurnal and nocturnal time. Actuator and sensor nodes has been managed by CWSAN-GH Coordinator node (MGHSN) which mimics the brain of the planter to provide reliable, power conserving, autonomous control system of a greenhouse. The conventional control methods are not efficient in terms of energy, labor interference, productivity and flexibility. In this study, the adoption of Artificial Intelligent (AI) approach to controlling tasks within Wireless Sensor-Actor Network (WSAN) is presented. Fuzzy inference system has been designed and fused within the coordinator node of WSAN, hardware and software of network nodes and sensors has been presented. Initial field test for the CWSAN based greenhouse are also presented. The combination of AI with actor WSN proves high efficiently, cost effective method, beside flexibility of tuning the whole system for other agricultural tasks.",
author = "Naseer Sabri and Aljunid, {S. A.} and B. Ahmad and Abid Yahya and R. Kamaruddin and Salim, {M. S.}",
year = "2011",
month = "9",
day = "21",
doi = "10.3923/jas.2011.3104.3116",
language = "English",
volume = "11",
pages = "3104--3116",
journal = "Journal of Applied Sciences",
issn = "1812-5654",
publisher = "Asian Network for Scientific Information",
number = "17",

}

Wireless sensor actor network based on fuzzy inference system for greenhouse climate control. / Sabri, Naseer; Aljunid, S. A.; Ahmad, B.; Yahya, Abid; Kamaruddin, R.; Salim, M. S.

In: Journal of Applied Sciences, Vol. 11, No. 17, 21.09.2011, p. 3104-3116.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Wireless sensor actor network based on fuzzy inference system for greenhouse climate control

AU - Sabri, Naseer

AU - Aljunid, S. A.

AU - Ahmad, B.

AU - Yahya, Abid

AU - Kamaruddin, R.

AU - Salim, M. S.

PY - 2011/9/21

Y1 - 2011/9/21

N2 - The pervasive merit of wireless sensor networks has led to a swelling interest in rendering them to be smart and autonomous which have the potential to enable a large class of applications in multiple fields. A novel cognitive wireless sensor-actor network based Greenhouse climate control (CWSAN-GH) is presented in this research. Fusion of artificial intelligent with nowadays Wireless Sensor Actor Networks (WSAN) is a promising era of smart WSAN. Primarily two most important greenhouse climate parameters are considered which are the temperature and humidity during diurnal and nocturnal time. Actuator and sensor nodes has been managed by CWSAN-GH Coordinator node (MGHSN) which mimics the brain of the planter to provide reliable, power conserving, autonomous control system of a greenhouse. The conventional control methods are not efficient in terms of energy, labor interference, productivity and flexibility. In this study, the adoption of Artificial Intelligent (AI) approach to controlling tasks within Wireless Sensor-Actor Network (WSAN) is presented. Fuzzy inference system has been designed and fused within the coordinator node of WSAN, hardware and software of network nodes and sensors has been presented. Initial field test for the CWSAN based greenhouse are also presented. The combination of AI with actor WSN proves high efficiently, cost effective method, beside flexibility of tuning the whole system for other agricultural tasks.

AB - The pervasive merit of wireless sensor networks has led to a swelling interest in rendering them to be smart and autonomous which have the potential to enable a large class of applications in multiple fields. A novel cognitive wireless sensor-actor network based Greenhouse climate control (CWSAN-GH) is presented in this research. Fusion of artificial intelligent with nowadays Wireless Sensor Actor Networks (WSAN) is a promising era of smart WSAN. Primarily two most important greenhouse climate parameters are considered which are the temperature and humidity during diurnal and nocturnal time. Actuator and sensor nodes has been managed by CWSAN-GH Coordinator node (MGHSN) which mimics the brain of the planter to provide reliable, power conserving, autonomous control system of a greenhouse. The conventional control methods are not efficient in terms of energy, labor interference, productivity and flexibility. In this study, the adoption of Artificial Intelligent (AI) approach to controlling tasks within Wireless Sensor-Actor Network (WSAN) is presented. Fuzzy inference system has been designed and fused within the coordinator node of WSAN, hardware and software of network nodes and sensors has been presented. Initial field test for the CWSAN based greenhouse are also presented. The combination of AI with actor WSN proves high efficiently, cost effective method, beside flexibility of tuning the whole system for other agricultural tasks.

UR - http://www.scopus.com/inward/record.url?scp=80052844950&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052844950&partnerID=8YFLogxK

U2 - 10.3923/jas.2011.3104.3116

DO - 10.3923/jas.2011.3104.3116

M3 - Article

AN - SCOPUS:80052844950

VL - 11

SP - 3104

EP - 3116

JO - Journal of Applied Sciences

JF - Journal of Applied Sciences

SN - 1812-5654

IS - 17

ER -