TY - GEN
T1 - Power efficiency in wireless network distributed computing
AU - Datla, Dinesh
AU - Chen, Xuetao
AU - Newman, Timothy R.
AU - Reed, Jeffrey H.
AU - Bose, Tamal
PY - 2009
Y1 - 2009
N2 - Advanced wireless applications such as sensor networks involve a close interaction between the communication and computation processes that deliver the services under stringent power constraints. Wireless network distributed computing (WNDC) is a potential solution to reducing the power consumption per node as well as that of the network. In WNDC, a computational task is executed among a network of collaborative nodes in a distributed manner as against performing the same task on a single node. In addition to providing power savings, WNDC enables power demand-supply matching that allows for system operation under a constrained power supply such as solar power. This paper presents fundamental power efficiency analysis of WNDC. The conditions for achieving power demand-supply matching and positive network power savings under power and computational latency constraints are derived. The results show the impact of non-linearity in the computational system characteristics and the communication overhead on the power savings.
AB - Advanced wireless applications such as sensor networks involve a close interaction between the communication and computation processes that deliver the services under stringent power constraints. Wireless network distributed computing (WNDC) is a potential solution to reducing the power consumption per node as well as that of the network. In WNDC, a computational task is executed among a network of collaborative nodes in a distributed manner as against performing the same task on a single node. In addition to providing power savings, WNDC enables power demand-supply matching that allows for system operation under a constrained power supply such as solar power. This paper presents fundamental power efficiency analysis of WNDC. The conditions for achieving power demand-supply matching and positive network power savings under power and computational latency constraints are derived. The results show the impact of non-linearity in the computational system characteristics and the communication overhead on the power savings.
UR - http://www.scopus.com/inward/record.url?scp=77951439701&partnerID=8YFLogxK
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U2 - 10.1109/VETECF.2009.5379026
DO - 10.1109/VETECF.2009.5379026
M3 - Conference contribution
AN - SCOPUS:77951439701
SN - 9781424425150
T3 - IEEE Vehicular Technology Conference
BT - Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
T2 - 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
Y2 - 20 September 2009 through 23 September 2009
ER -