A Comparative Study of In-sensor Processing vs. Raw Data Transmission using ZigBee, BLE and Wi- Fi for Data Intensive Monitoring Applications

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dc.contributor.author Khurram Shahzad
dc.contributor.author Bengt Oelmann
dc.date.accessioned 2017-12-26T10:57:49Z
dc.date.available 2017-12-26T10:57:49Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/123456789/5180
dc.description.abstract Wireless sensor nodes, as typically realized using IEEE 802.15.4 compatible low-power radio transceivers that offer limited throughput, are generally applicable to low-data rate intermittent monitoring applications. In order to realize high sample rate monitoring applications, it requires either transmitting raw data using a highthroughput radio transceiver or performing computation within the sensor node and then transmitting a small amount of information. In relation to a energy constrained wireless sensing node, a quantitative evaluation of raw data transmission using different short range wireless technologies and in-sensor processing is conducted in this paper. The results, associated with the energy consumption of two data intensive monitoring applications, suggest that in-sensor processing resulting in a small amount of data to be transmitted consumes less energy as compared to that of raw data transmission, even under ideal channel conditions. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.subject Department of Computer Engineering CE en_US
dc.title A Comparative Study of In-sensor Processing vs. Raw Data Transmission using ZigBee, BLE and Wi- Fi for Data Intensive Monitoring Applications en_US
dc.type Article en_US


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