Journal
IEEE INTERNET OF THINGS JOURNAL
Volume 5, Issue 6, Pages 4380-4391Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2018.2866998
Keywords
Alternating direction method of multipliers (ADMMs); appliance scheduling; Paillier cryptosystem; smart home (SH)
Categories
Funding
- U.S. National Science Foundation [CNS-1801925, CNS-1343361, CNS-1350230, CNS-1717454, CNS-1646607, CNS-1702850, CNS-1731424, ECCS-1547201]
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Smart homes (SHs) aim at forming an energy optimized environment that can efficiently regulate the use of various Internet of Things (IoT) devices in its network. Real-time electricity pricing models along with SHs provide users an opportunity to reduce their electricity expenditure by responding to the pricing that varies with different times of the day, resulting in reducing the expenditure at both customers' and utility provider's end. However, responding to such prices and effectively scheduling the appliances under such complex dynamics is a challenging optimization problem to be solved by the provider or by third party services. As communication in SH-IoT environment is extremely sensitive and private, reporting of such usage information to the provider to solve the optimization has a potential risk that the provider or third party services may track users' energy consumption profile which compromises users' privacy. To address these issues, we developed a homomorphic encryption-based alternating direction method of multipliers approach to solve the cost-aware appliance scheduling optimization in a distributed manner and schedule home appliances without leaking users' privacy. Through extensive simulation study considering real-world datasets, we show that the proposed secure appliance scheduling for flexible and efficient energy consumption scheme, namely SAFE, effectively lowers electricity cost while preserving users' privacy.
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