TY - GEN
T1 - Energy-conscious prototype for enabling multi-protocol wireless communications
AU - Collins, Travis
AU - Desantis, Patrick
AU - Vecchiarelli, David
AU - Wyglinski, Alexander M.
AU - McGrath, Sean
PY - 2012
Y1 - 2012
N2 - In this paper, we present a novel hardware prototype implementation of a wireless communication system capable of automatically selecting one of several available commercial standards in order to minimize energy utilization while simultaneously achieving reasonable data rate performance. Without loss in generality, two wireless standards were employed in the prototype implementation, namely: ZigBee and WiFi. These standards were chosen due to their complementary characteristics with respect to data bandwidth and energy efficiency. At the core of the prototype implementation is a decision-making module designed to automatically select the most suitable wireless standard for data transmission based on the instantaneous network load and the operating conditions of the wireless platform, such as battery life. The prototype implementation was evaluated across several data transmission scenarios, including file transfers, web browsing, streaming media and text messaging. By leveraging the concepts of sensing and adaptation often employed in cognitive radio, the prototype system monitors and selects the lowest power intensive wireless protocol while still maintaining an acceptable quality of service for the desired application. Even though performance transparency could not be sacrificed for power efficiency, experimental validation of this network design shows substantial energy savings: more than a 30% reduction in energy consumption of the wireless interfaces is possible, leading to a substantial increase in the effective battery lifetime of a energy-limited wireless networking device.
AB - In this paper, we present a novel hardware prototype implementation of a wireless communication system capable of automatically selecting one of several available commercial standards in order to minimize energy utilization while simultaneously achieving reasonable data rate performance. Without loss in generality, two wireless standards were employed in the prototype implementation, namely: ZigBee and WiFi. These standards were chosen due to their complementary characteristics with respect to data bandwidth and energy efficiency. At the core of the prototype implementation is a decision-making module designed to automatically select the most suitable wireless standard for data transmission based on the instantaneous network load and the operating conditions of the wireless platform, such as battery life. The prototype implementation was evaluated across several data transmission scenarios, including file transfers, web browsing, streaming media and text messaging. By leveraging the concepts of sensing and adaptation often employed in cognitive radio, the prototype system monitors and selects the lowest power intensive wireless protocol while still maintaining an acceptable quality of service for the desired application. Even though performance transparency could not be sacrificed for power efficiency, experimental validation of this network design shows substantial energy savings: more than a 30% reduction in energy consumption of the wireless interfaces is possible, leading to a substantial increase in the effective battery lifetime of a energy-limited wireless networking device.
UR - http://www.scopus.com/inward/record.url?scp=84864226093&partnerID=8YFLogxK
U2 - 10.1109/SARNOF.2012.6222740
DO - 10.1109/SARNOF.2012.6222740
M3 - Conference contribution
AN - SCOPUS:84864226093
SN - 9781467314640
T3 - 35th IEEE Sarnoff Symposium, SARNOFF 2012 - Conference Proceedings
BT - 35th IEEE Sarnoff Symposium, SARNOFF 2012 - Conference Proceedings
T2 - 35th IEEE Sarnoff Symposium, SARNOFF 2012
Y2 - 21 May 2012 through 22 May 2012
ER -