Design of Power Saving Schemes for the IoT
Azusa Iikubo, Shou‐Chih Lo · 2019
The Internet of Things (IoT) is emerging as the third wave in the development of the Internet. IoT related applications have become widespread in daily life. Sensor nodes are the major components of IoT systems, but frequently encounter resource constraints, particularly when they rely on battery power and wireless communication. In this paper, we provide sleep schedule and data compression to save the power consumption of a sensor node. The compression is based on aggregate approximation and symbol encoding. Approximation errors are measured on different datasets and under different transmission error rates.