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dc.contributor.authorAzizi, Harun
dc.contributor.authorRamli, M. F.
dc.contributor.authorLatifah Munirah, Kamarudin
dc.contributor.authorNdzi, David Lorater
dc.contributor.authorAli Yeon, Md Shakaff, Prof. Dr.
dc.contributor.authorAmmar, Zakaria
dc.contributor.authorMahmad, Nor Jaafar
dc.date.accessioned2013-07-10T03:40:15Z
dc.date.available2013-07-10T03:40:15Z
dc.date.issued2012-02-08
dc.identifier.citationp. 606-610en_US
dc.identifier.isbn978-076954668-1
dc.identifier.issnhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6169771
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/26539
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.orgen_US
dc.description.abstractT o provide reliable and adequate network coverage whilst minimizing the cost of wireless sensor network ( WSN ) deployments , detailed knowledge of wireless signal propagation within the specific environment s is required . There are many WSN devices on the marke t that have been developed using proprietary systems and therefore have different performances , although implementing similar standards . This paper presents a comparative performance measurement and analysis of three types of WSN devices evaluated for appl ication in a mixed - crop farm. The results show that the Xbee - PRO maintains very strong RSSI values in open field measurements that are sometime 15 dBm higher than those obtained from the IRIS and Microchip motes. Overall, two important factors that influen ce WSN node performances are antenna height and the type of antenna used. Whip omni - directional antenna has been s hown to double the range of the WSN node compared to a patch antenna. R esult s also show that the l og - distance propagation model is a more flex ible model that can be used to model a variety of channels, although it lacks standard global parameter values .en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the 3rd International Conference on Intelligent Systems Modelling and Simulation 2012en_US
dc.subjectMixed-cropen_US
dc.subjectReceived signal strengthen_US
dc.subjectRSSIen_US
dc.subjectWireless sensor network (WSN)en_US
dc.titleComparative performance analysis of wireless RSSI in wireless sensor networks motes in tropical mixed-crop precision farmen_US
dc.typeWorking Paperen_US
dc.contributor.urlzz_harun@yahoo.comen_US
dc.contributor.urla_chuck768@yahoo.comen_US
dc.contributor.urllatifahmunirah @ unimap.edu.myen_US


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