@inproceedings{1e6c911ac381410594c862fba38a5823,
title = "Power efficiency in wireless network distributed computing",
abstract = "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.",
author = "Dinesh Datla and Xuetao Chen and Newman, \{Timothy R.\} and Reed, \{Jeffrey H.\} and Tamal Bose",
year = "2009",
doi = "10.1109/VETECF.2009.5379026",
language = "English (US)",
isbn = "9781424425150",
series = "IEEE Vehicular Technology Conference",
booktitle = "Proceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall",
note = "2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall ; Conference date: 20-09-2009 Through 23-09-2009",
}