Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54367
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dc.contributor.authorAutanan Wannachaien_US
dc.contributor.authorPaskorn Champraserten_US
dc.date.accessioned2018-09-04T10:12:30Z-
dc.date.available2018-09-04T10:12:30Z-
dc.date.issued2015-01-01en_US
dc.identifier.other2-s2.0-84933544151en_US
dc.identifier.other10.1109/ISSNIP.2015.7106944en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84933544151&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54367-
dc.description.abstract© 2015 IEEE. Wireless sensor networks usually pay attention to energy efficiency by reducing the data transmission rate or using data aggregation techniques. However, in an urgent situation of a disaster monitoring application, sensing data become very important. The sensing data are required to be at the base station quickly so that the administrators can evaluate the situation and issue the early warning message. This paper focuses on the adaptive operations of sensor nodes. The sensor nodes can automatically adjust its transmission range based on the degree of importance of sensing data. In the urgent situation, the transmission range is increased to reduce the number of hops to reduce the latency. In the normal situation, the transmission range is decreased to reduce the battery consumption of sensor nodes. The proposed mechanism, called A-TRED, evaluates the degree of importance of sensing data and adjusts the transmission range of sensor nodes accordingly. A-TRED consists of three processes which are 1) data checking process, 2) packet formation process, and 3) packet forwarding process. The simulation results show that A-TRED can automatically adapt WSN key performance factors (e.g., latency, battery consumption) by adjusting the transmission range against the environmental changes.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleAdaptive Transmission Range Based on Event Detection for WSNsen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2015 IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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