Comparative Study of Energy-Efficient Sampling Approaches for Wireless Control Networks

Wireless sensor and control networks are attractive for many embedded system applications mainly because they don't need wired connections for communication or energy supply. Therefore, energy efficiency is an elementary requirement of devices and concerns not only the hardware and communication protocols, but also the device applications. Adaptive sampling approaches promise to reduce the energy consumption of applications by adapting sampling and message transmissions. Selecting appropriate approaches and parameters is challenging as it strongly influences their performance. Therefore, this paper compares several adaptive sampling approaches in different realistic closed control loop scenarios from building automation, to develop a guideline for approach selection and parameterization.