Title :
Reducing Average Power in Wireless Sensor Networks through Data Rate Adaptation
Author :
Lanzisera, Steven ; Mehta, Ankur M. ; Pister, Kristofer S J
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
Abstract :
The use of variable data rate can reduce network latency and average power consumption, and automatic rate selection is critical for improving scalability and minimizing network overhead. In the IEEE 802.15.4 standard the SNR can be inferred through the radio reported link quality or received signal strength, and an extension to the standard leads to highly dynamic and accurate rate selection. Using data from an experimental study of 44 IEEE 802.15.4 nodes in an industrial mesh network, SNR is extracted to show sufficient margin exists for higher data rate communication. A variable rate signaling scheme with automatic rate selection is proposed to provide links at the standard 250 kb/s as well as 500 kb/s, 1000 kb/s and 2000 kb/s with a minimum of hardware changes. Using the experimental data to generate a model of the real world system, total network energy is compared using legacy and variable rate signaling showing over 40% savings.
Keywords :
radio links; telecommunication signalling; telecommunication standards; wireless sensor networks; IEEE 802.15.4 standard; automatic rate selection; average power consumption; average power reduction; data rate adaptation; data rate communication; industrial mesh network; network energy; network latency; network overhead; radio link quality; received signal strength; variable rate signaling; wireless sensor network; Data mining; Delay; Energy consumption; Hardware; Peer to peer computing; Physical layer; Signal to noise ratio; Throughput; Wireless application protocol; Wireless sensor networks;
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
DOI :
10.1109/ICC.2009.5199403
