Proceedings ArticleDOI
A comparative study of in-sensor processing vs. raw data transmission using ZigBee, BLE and Wi-Fi for data intensive monitoring applications
Khurram Shahzad,Bengt Oelmann +1 more
- pp 519-524
TLDR
It is suggested 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.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.read more
Citations
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A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations
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A preliminary study of low power wireless technologies: ZigBee and Bluetooth Low Energy
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Condition Monitoring in Industry 4.0-Design Challenges and Possibilities: A Case Study
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References
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Optical wireless communication for underwater Wireless Sensor Networks: Hardware modules and circuits design and implementation
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