International Transactions on Computer Hardware and Electrical Engineering
Vol. 5, No. 3, Sep. 2019
Sleeping Schedules for Energy-Efficiency Purpose in Wireless Sensor Network: Benefits and Challenges
a Thai Nguyen University of Technology, Thai Nguyen, Viet Nam
Highlights and Novelties
1. Energy efficient problems in WSNs have been mentioned including sleeping schedules.
2. Benefits and challenges of utilizing sleeping schedules in WSNs are analyzed.
3. CS based approach to be applied to sleeping schedules is proposed for further energy saving.
Sensor networks facilitate many applications in different fields, either in civil applications or in military applications. The main goals of the networks are to detect events or to collect sensing data to be sent to a data processing center for different purposes. Sleeping schedules have been considered as an energy-efficient methods to reduce energy consumption in wireless sensor networks (WSNs). In such networks, a certain number of sensors are awake to monitor or to observe sensing data while the rest can fall into idle status to save battery energy. The sensors take turns to be awake or idle as scheduled. This benefits the networks at some points but also have some challenges that need to be improved. This article analyzes those points and also suggests a combination between the schedules and a data processing technique, called compressed sensing, that could improve the networks for more energy saving. This also provides promising research points for further explorations in the fields.
Wireless sensor network energy efficiency sleeping schedule data transmission compressed sensing
Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
Cite this manuscript as
Minh Nguyen, "Sleeping Schedules for Energy-Efficiency Purpose in Wireless Sensor Network: Benefits and Challenges," International Transactions on Computer Hardware and Electrical Engineering, vol. 5, no. 3, pp. 1-4, Sep. 2019.
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