Emerging applications through low-power wireless technologies for Internet of Things Recently, infrastructure systems such as smart monitoring, smart homes, smart grid, and intelligent transportation, provide services, functionalities, and connectivity that were improbable until a few years ago. This technological progress has happened because the Internet has become increasingly ubiquitous, enabling connection anytime and everywhere not only among people but also among objects widespread in the physical world. The shared vision of such systems is ordinarily correlated with a particular concept: the Internet of Things (IoT). The fast enactment of IoT and the availability of smart devices, with large bandwidths and computational capability, enable real-time service delivery, instant access, and groundbreaking transfer of information. Emerging applications, based on the IoT, enhance the quality of services and the user experience by speeding the request processing and by lessening the data complexity. In this context, smart radio technologies and communication protocols need to be readjusted to emerging IoT application requirements. They should support low-power and ultra-low-power operation, multiple communication ranges in indoor and outdoor environments. This special collection on 'Emerging Applications through Low-Power Wireless Technologies for Internet of Things' of the International Journal of Distributed Sensor Networks (IJDSN) aimed at the collection of high-quality papers that intend to solve open technical problems and typical challenges of emerging IoT applications, to present and integrate novel solutions efficiently, and to highlight the performance evaluation with existing standards. In the emerging IoT applications, the sensed data should be transferred to the sink in a quick and reliable way. This is guaranteed in the proliferation routing, as the source node makes multiple copies of the data packets and sends them concurrently through multiple paths. However, the proliferation routing scheme does not implement any mechanism of energy savings and traffic adaptability. Instead, Zhang et al. 1 propose a new adaptive