With the prevalence of sensor-rich smartphones, MCS has become an emerging paradigm to perform urban sensing tasks in recent years. In MCS systems, it is important to minimize the energy consumption on devices of mobile users, as high energy consumption severely reduces their participation willingness. In this article, we provide a comprehensive review of energy saving techniques in MCS and identify future research opportunities. Specifically, we analyze the main causes of energy consumption in MCS and present a general energy saving framework named ESCrowd that we use to describe the different detailed MCS energy saving techniques. We further present how the various energy saving techniques are utilized and adopted within MCS applications and point out their existing limitations, which inform and guide future research directions.
Wang, J., Wang, Y., Zhang, D., & Helal, A. (2018). Energy saving Techniques in Mobile Crowd Sensing: Current State and Future Opportunities. IEEE Communications Magazine, 56(5), 164 - 169. https://doi.org/10.1109/MCOM.2018.1700644