Energy-efficient wake-up radio protocol using optimal sensor-selection for IoT

Energy conservation in sensor nodes of an IoT framework is a challenging problem. Wake-up radio, a new technology being developed by IEEE, describes a broad solution to this challenge. In this paper, we address the issue of optimal sensor nodes selection to maximize the energy-efficiency of a WSN for IoT applications. A wake-up protocol is then applied on the optimally selected-sensor nodes. The node selection is formulated as an optimization problem with spatio-temporal correlation constraints thus minimizing redundant data transfer. Subsequently, a MLE method is used to solve the problem. Additional novelty of this work is the development of a wake-up protocol over hexagonal grids when a mobile sink is used for data aggregation leading to improved energy-efficiency. The impact of the proposed method on decision errors in IoT applications is also discussed. Extensive experiments are performed to analyse the energy-efficiency, estimation error, modelling accuracy, network lifetime of WSN in the context of IoT applications. Results indicate an improvement in energy-efficiency when compared to conventional methods.