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A Dynamic Rate Adaptation Scheme for M2M Communications



Yalong Wu, Wei Yu, David W. Griffith, Nada T. Golmie


The number of Machine-to-Machine (M2M) devices has continued to grow at an accelerated rate. Without thoughtful and efficient resource management, M2M communications will be asymmetrically handicapped by service rate scarcity as more devices are continually added. To address these issues, in this paper, we propose a dynamic rate adaptation (DRA) scheme to obtain an optimized service rate distribution among a mixture of time-driven and event-driven M2M applications. DRA introduces real time monitoring of M2M traffic arrival rate, building on which service rate distribution between M2M applications can be adjusted momentarily, by using the mean value theorem of integrals (MVTI) and generalized processor sharing (GPS). We have validated the effectiveness of our proposed DRA scheme and our experimental results demonstrate that DRA can significantly improve M2M communications performance with respect to throughput and delay.
Proceedings Title
2018 IEEE International Conference on Communications (ICC)
Conference Dates
May 20-24, 2018
Conference Location
Kansas City, MO, US


Wu, Y. , Yu, W. , Griffith, D. and Golmie, N. (2018), A Dynamic Rate Adaptation Scheme for M2M Communications, 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, US, [online], (Accessed May 22, 2024)


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Created May 23, 2018, Updated October 12, 2021