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By applying the knowledge of customer power usage statistics from smart meters, power companies are able to improve the quality and efficiency of power delivery. However, using electrical usage data bears privacy issues. This study presents a novel user daily behavior disturbance algorithm (UDBD) to provide a privacy preserving mechanism for smart meters. Utilizing the user previous power usage data,...
In this paper, we introduce a novel technique called Local Sense for detecting appliance usage events in a household by leveraging existing home power infrastructure. Specifically, the Local Sense technique works by purely analyzing the records taken from the main power meter. The main power meter is installed in a household to measure the overall real time aggregated power consumption in terms of...
Recent studies have shown the necessity of fine grained power usage visibility to encourage user behavior energy conservation. Existing works toward this direction are mainly focused on residential monitoring scenarios. This study considers another important scenario of providing fine grained power usage information over a set of networked computers. Such scenario could be applied to a wide range...
In this paper, we jointly consider power control, channel assignment, and routing to minimize network energy consumption while maintaining data rate requirements on each radio link in the multi-hop cognitive radio network. This problem is formulated as a Mixed Integer Non-linear Programming (MINP). Due to the NP-hard property of the MINP, the MINP is decomposed into |N| (the number of nodes in the...
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