In the Internet of Things (IoT), Low-Power Wide-Area Networks (LPWANs) are designed to provide low energy consumption while maintaining a long communications’ range for End Devices (EDs). LoRa is a communication protocol that can cover a wide range with low energy consumption. To evaluate the efficiency of the LoRa Wide-Area Network (LoRaWAN), three criteria can be considered, namely, the Packet Delivery Rate (PDR), Energy Consumption (EC), and coverage area. A set of transmission parameters have to be configured to establish a communication link. These parameters can affect the data rate, noise resistance, receiver sensitivity, and EC. The Adaptive Data Rate (ADR) algorithm is a mechanism to configure the transmission parameters of EDs aiming to improve the PDR. Therefore, we introduce a new algorithm using the Multi-Armed Bandit (MAB) technique, to configure the EDs’ transmission parameters in a centralized manner on the Network Server (NS) side, while improving the EC, too. The performance of the proposed algorithm, the Low-Power Multi-Armed Bandit (LP-MAB), is evaluated through simulation results and is compared with other approaches in different scenarios. The simulation results indicate that the LP-MAB’s EC outperforms other algorithms while maintaining a relatively high PDR in various circumstances.

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Electrifying the energy market contributes to United Nations Sustainable Development Goal 7 (affordable and clean energy) and 13 (climate action), but it comes with unique challenges. Focusing on Australia as an example of a highly electrified market – world-leading in rooftop solar photovoltaic systems – we analyse smart-metered household electricity consumption in the state of Queensland to identify five distinct household electricity use patterns. We then assign 366,439,750 use days of 1,097,125 households to those patterns to derive household market segments with distinct electricity use and socio-demographic characteristics. Segment profiles show that the benefits of rooftop photovoltaics are asymmetrically leveraged by the population. Households with photovoltaic systems and daytime valley use typically live in their own house and report a high education and income level. Households without photovoltaics and consistent electricity use all day buy most electricity from the grid; they are more likely to rent, live in apartments and report lower income and education levels. Regulatory modifications can make the cost-saving benefits of solar systems available to a wider section of the community, while also contributing to carbon emissions reduction via an increase in renewable energy.