Energy optimization for perpetual IoT networks of heterogeneous sensors

Abstract

In our research we aim to handle energy limitations caused by perpetual operations in different IoT platforms, such as mission-critical and assisted living developments. IoT deployments hold significant promises to improve the quality of life; however, several limitations arise in operating IoT deployments in a scalable and resilient manner over time. Limitations include the divers nature of IoT settings and deployments, which play an important role in both the accuracy and cost of applications. In addition, IoT devices typically are small in size with restricted resources including limited compute power, battery and storage capabilities. Furthermore, assisted living and mission-critical systems are expected to operate 24/7 to monitor and detect critical events. This raises issues of the cost of operations and continuous energy consumptions. In our research, we are uniquely leveraging different concepts, such as activities of daily living (ADLs) and heterogeneity of IoT devices; to create perpetual IoT platforms by energy-optimized sensor activations.