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Intelligent management of machines, particularly in a residence area, hasbeen of interest for many years. However, such system design has always beenlimited to simple control of machines from a local area or remotely from theInternet. In this report, for the first time, an intelligent system isproposed, where not only provides intelligent control ability of machines touser, but also utilizes big data and optimization techniques to providepromotional offers to the user to optimize energy consumption of machines.Since a high traffic communication is involved among the machines and theoptimization-big data core of system, the communication core of the proposedsystem is designed based on cloud, where many challenging issues such asspectrum assignment and resource management are involved. To deal with that,the communication network in the home area network (HAN) is designed based onthe cognitive radio system, where a new spectrum assignment method based on theant colony optimization (ACO) algorithm is proposed to perform spectrumassignment to the machines in the HAN. Performance evaluation of the proposedspectrum assignment method shows its performance in fair spectrum assignmentamong machines.

Internet of Things for Residential Areas: Toward Personalized Energy Management Using Big Data