Paper Info
Title
A comparative study of in-sensor processing vs. raw data transmission using ZigBee, BLE and Wi-Fi for data intensive monitoring applications
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 high-throughput 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.
Year
DOI
Venue
2014
10.1109/ISWCS.2014.6933409
Wireless Communications Systems
Keywords
Field
DocType
Zigbee,radio transceivers,wireless LAN,BLE,IEEE 802.15.4,Wi-Fi,ZigBee,data intensive monitoring applications,energy constrained wireless sensing node,high-throughput radio transceiver,in-sensor processing,low-power radio transceivers,raw data transmission,short range wireless technologies,wireless sensor nodes,BLE,Bluetooth low energy,IEEE 802.15.4,Wi-Fi,ZigBee,in-sensor processing,wireless sensor
Sensor node,Key distribution in wireless sensor networks,Wireless network,Computer science,Computer network,Real-time computing,Mobile wireless sensor network,Wi-Fi array,Wireless sensor network,Cognitive radio,NeuRFon
Conference
Citations 
PageRank 
References 
3
0.47
3
Authors
2
Name
Order
Citations
PageRank
Khurram Shahzad171.03
B Oelmann27721.78