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dc.contributor.authorNaseer, Sabri
dc.contributor.authorSyed Alwee Aljunid, Syed Junid, Prof. Dr.
dc.contributor.authorMuhammed Sabri, Salim
dc.contributor.authorRezuwan, Kamaruddin, Prof. Ir. Dr. Hj.
dc.contributor.authorR. Badlishah, Ahmad, Prof. Dr.
dc.contributor.authorMohd Fareq, Abd Malek, Dr.
dc.date.accessioned2014-06-12T03:33:37Z
dc.date.available2014-06-12T03:33:37Z
dc.date.issued2014-04
dc.identifier.citationInternational Journal of Innovative Computing, Information and Control, vol.10 (2), 2014, pages 631-658en_US
dc.identifier.issn1349-4198
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/35406
dc.descriptionLink to publisher's homepage at http://www.ijicic.org/home.htmen_US
dc.description.abstractIntelligent environments are exposing the next revolutionary steps of development technologies in automation of building, industrial, home, and transportation systems. The new generation of Wireless Sensor Actor Networks (WSANs) technologies of sensing the environment, computing and communicating advances at faster rates. It can be conceived that the world will eventually be covered by networks of autonomous smart sensor-actor nodes which yields revolutionary applications. Nowadays WSAN can be considered as passive networks of sensing the phenomena, while fusion of Artificial Intelligence (AI) concepts and algorithms into the network’s nodes provides those nodes with the ability to mimics the human behavior in sensing and reacting which give the network the ability to be autonomous for specific application. This paper presents the fusion of artificial intelligence represented by Fuzzy Inference System (FIS) with WSAN for greenhouse climate control. Smartness of current WSAN (SWSAN) is proposed based on FIS while the conventional control methods are not efficient in terms of energy, labor interference, productivity and flexibility. In this paper, Fuzzy Inference System (FIS) has been designed and fused within the coordinator node of WSAN, and hardware and software of networks nodes and sensors have been presented. Indeed, this paper describes the new era of cognitive WSAN based on AI paradigm and shows a reprehensive set of new applications and identifies several possibilities of creating the smartness concepts of currently Wireless Sensor-Actor Network (WSAN). The primary concept of automation, wireless technologies and cognitive approach of WSAN within diverse application and particularly for agriculture application are presented and discussed.en_US
dc.language.isoenen_US
dc.publisherICIC Internationalen_US
dc.subjectSmart wireless sensor actor networken_US
dc.subjectArtificial intelligenceen_US
dc.subjectCognitive greenhouse climate controlen_US
dc.subjectFuzzy logic controlen_US
dc.titleCognitive wireless sensor actor network: an agricultural perspectiveen_US
dc.typeArticleen_US
dc.identifier.urlhttp://www.ijicic.org/ijicic-12-03087.pdf
dc.contributor.urlnaseersabri@yahoo.comen_US


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