BE-DCF: Barring-Enhanced Distributed Coordination Function for Machine Type Communications in IEEE 802.11 networks
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Suyong Eum | Lei Zhong | Yozo Shoji | Kiyohide Nakauchi | L. Zhong | Y. Shoji | S. Eum | K. Nakauchi
[1] Lusheng Ji,et al. A first look at cellular machine-to-machine traffic: large scale measurement and characterization , 2012, SIGMETRICS '12.
[2] Geng Wu,et al. M2M: From mobile to embedded internet , 2011, IEEE Communications Magazine.
[3] Ali Hazmi,et al. Feasibility study of IΕΕΕ 802.11ah radio technology for IoT and M2M use cases , 2012, 2012 IEEE Globecom Workshops.
[4] Masahiro Morikura,et al. IEEE 802.11ah Based M2M Networks Employing Virtual Grouping and Power Saving Methods , 2013 .
[5] Kwang-Cheng Chen,et al. Toward ubiquitous massive accesses in 3GPP machine-to-machine communications , 2011, IEEE Communications Magazine.
[6] A. Girotra,et al. Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .
[7] Lei Zheng,et al. Performance analysis of grouping strategy for dense IEEE 802.11 networks , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).
[8] Nei Kato,et al. Toward intelligent machine-to-machine communications in smart grid , 2011, IEEE Communications Magazine.
[9] Tarik Taleb,et al. Machine type communications in 3GPP networks: potential, challenges, and solutions , 2012, IEEE Communications Magazine.
[10] Weijia Jia,et al. An efficient admission control for IEEE 802.11 networks based on throughput analyses of (Un)saturated channel , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..