Writing in the journal Future Generation Computer Systems, the authors examined temperature Internet of Things (IoT) devices for smart buildings. Their study used an “IoT slicing technique” to improve the ability of an algorithm to self-correct deviations when indoor temperature data is acquired by IoT networks. A case study result is provided to demonstrate the efficacy of the proposed IoT slicing method. This study will be of interest from the perspective of data architectures and IoT systems.