Abstract
Energy conservation has become a major bottleneck for wide deployment of Internet of Things (IoT) technologies. This paper presents energy consumption analysis of ZigBee-enabled IoT networks, and shows the primary energy consumption in a node from a practical aspect. Based on the analysis and experimental measurement, this paper proposes an adaptive MAC layer energy-saving algorithm. This algorithm can adaptively configure the MAC layer in each node based on real-time network traffic conditions. The aim is to minimize the power consumption of each node achieving a longer lifetime and better quality of service. In addition, a software and hardware experimental platform has been built up to verify the reliability and effectiveness of the algorithm. The experimental results show that the adaptive MAC layer energy-saving algorithm is effective and efficient in minimizing node energy consumption.
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Acknowledgments
The work in this paper was partly supported by National Natural Science Foundation of China (NSFC) projects (61572389 and 61620106011), and Zhongshan City Team Project (No. 180809162197874).
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Zhang, Y., Yang, K., Chen, H. (2019). An Adaptive MAC Layer Energy-Saving Algorithm for ZigBee-Enabled IoT Networks. In: Wang, G., El Saddik, A., Lai, X., Martinez Perez, G., Choo, KK. (eds) Smart City and Informatization. iSCI 2019. Communications in Computer and Information Science, vol 1122. Springer, Singapore. https://doi.org/10.1007/978-981-15-1301-5_29
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DOI: https://doi.org/10.1007/978-981-15-1301-5_29
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