Residual energy-based adaptive data collection approach for periodic sensor networks

摘要

Wireless sensor networks (WSNs) are a key technology in the big data age. Deployed sensors, equipped with wireless communication capabilities, collect massive data from remote or even hostile environments. They transmit the data to a collection point known as the sink. Energy efficiency and operational life are important topics in WSN research. It is impractical and sometimes impossible to change the batteries for these sensors. Where do we strike the balance between sufficient sampling and energy conservation?