2017 International Conference on Computer Science and Engineering (UBMK) 2017
DOI: 10.1109/ubmk.2017.8093463
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IEEE 802.15.4 / ZigBee based wireless sensor network design for monitoring server rooms

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Cited by 6 publications
(3 citation statements)
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“…Cetin et al [65] developed IoT enabled WSN to track temperature, humidity, room entrance, water level, smoke and burnable gas values in timely manner and was checked in campus network server rooms of the University of Muğla Sıtkı Koçman. The Ardunio Uno R3 microcontroller was used in sensor nodes to receive data in the WSN infrastructure and the IEEE 802.15.4/ZigBee-based XBee technology protocol was used to wirelessly transmit sensed data to the required location.…”
Section: Iot Based Wsn In Smart Citiesmentioning
confidence: 99%
“…Cetin et al [65] developed IoT enabled WSN to track temperature, humidity, room entrance, water level, smoke and burnable gas values in timely manner and was checked in campus network server rooms of the University of Muğla Sıtkı Koçman. The Ardunio Uno R3 microcontroller was used in sensor nodes to receive data in the WSN infrastructure and the IEEE 802.15.4/ZigBee-based XBee technology protocol was used to wirelessly transmit sensed data to the required location.…”
Section: Iot Based Wsn In Smart Citiesmentioning
confidence: 99%
“…Selain itu arus pendek listrik juga dapat menyebabkan kebakaran di ruang server [9]. Apabila seorang administrator tidak segera mengetahu saat terjadi kebakaran maka dapat mengakibatkan kerugian besar [10].…”
Section: Pendahuluanunclassified
“…WSNs increase the efficiency of a system by allowing the collaboration of many sensor nodes. Thus, WSNs have found an important place in areas such as data acquisition systems [2], environmental monitoring [3], automated control mechanisms [4], agriculture [5], wearable healthcare applications [6], office and home automation systems [7,8]. In this work, with the advantages provided by WSNs, we have developed a vehicle tracking system which can be used to monitor the position data of vehicles in real-time or past.…”
Section: Introductionmentioning
confidence: 99%