Abstract
This paper presents Rate Adaptive Broadcast (RAB), a novel wireless design that enables the rate adaptive broadcast in Internet of things (IoT). Broadcast is common in IoT due to the ubiquitous tree topologies. Channel resource is usually underused in broadcast because there is no rate adaptation in conventional broadcast and the data rate is always set as the lowest one by default. Existing rate adaptation methods work only for unicast or multicast, relying on information interaction between senders and receivers. These methods cannot directly apply in broadcast, which is a one-way transmission without acknowledgement (ACK). It is also impractical to transplant conventional ACK into broadcast, otherwise, massive ACKs will lead to a heavy overhead. To tackle this dilemma, we propose RAB, which allows the sender to broadcast data ceaselessly while adjusting the data rate according to real-time channel states. The core contribution is the subtly designed feedbacks that can be concurrently delivered and do not affect any reception. We implement RAB on USRPs and establish a 20-node IoT testbed. Experiment results demonstrate that the throughput is largely improved. The throughput of RAB is 2.8x of the standard WiFi and 1.3x of MuDRA, the state-of-the-art multicast rate adaptation method.
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References
Bharadia, D., McMilin, E., Katti, S.: Full duplex radios. In: ACM SIGCOMM (2013)
Bloessl, B., Segata, M., Sommer, C., Dressler, F.: An IEEE 802.11 a/g/p OFDM receiver for GNU radio. In: ACM SIGCOMM Workshop on Software Radio Implementation Forum (2013)
Gupta, V., Gutterman, C., Bejerano, Y., Zussman, G.: Experimental evaluation of large scale WiFi multicast rate control. In: IEEE INFOCOM (2016)
Halperin, D., Hu, W., Sheth, A., Wetherall, D.: Predictable 802.11 packet delivery from wireless channel measurements. In: ACM SIGCOMM (2011)
Kim, J., Kim, S., Choi, S., Qiao, D.: CARA: collision-aware rate adaptation for IEEE 802.11 WLANs. In: IEEE INFOCOM (2006)
Kodialam, M., Nandagopal, T.: Fast and reliable estimation schemes in RFID systems. In: ACM MobiCom (2006)
Kong, L., et al.: Adasharing: adaptive data sharing in collaborative robots. IEEE Trans. Ind. Electron. 64(12), 9569–9579 (2017)
Lim, W.-S., Kim, D.-W., Suh, Y.-J.: Design of efficient multicast protocol for IEEE 802.11n WLANs and cross-layer optimization for scalable video streaming. IEEE Trans. Mob. Comput. (TMC) 11(5), 780–792 (2012)
Rahul, H., Edalat, F., Katabi, D., Sodini, C.: Frequency-aware rate adaptation and MAC protocols. In: ACM MobiCom (2009)
Sen, S., Madabhushi, N.K., Banerjee, S.: Scalable WiFi media delivery through adaptive broadcasts. In: NSDI (2010)
Sen, S., Santhapuri, N., Choudhury, R.R., Nelakuditi, S.: AccuRate: constellation based rate estimation in wireless networks. In: NSDI (2010)
Shahzad, M., Liu, A.X.: Every bit counts: fast and scalable RFID estimation. In: ACM MobiCom (2012)
Villalón, J., Cuenca, P., Orozco-Barbosa, L., Seok, Y., Turletti, T.: Cross-layer architecture for adaptive video multicast streaming over multirate wireless lans. IEEE J. Sel. Areas Commun. (JSAC) 25(4), 699–711 (2007)
Vutukuru, M., Balakrishnan, H., Jamieson, K.: Cross-layer wireless bit rate adaptation. In: ACM SIGCOMM (2009)
Wang, Y., He, Y., Mao, X., Liu, Y., Li, X.-Y.: Exploiting constructive interference for scalable flooding in wireless networks. IEEE/ACM Trans. Netw. (ToN) 21(6), 1880–1889 (2013)
Wong, S.H., Yang, H., Lu, S., Bharghavan, V.: Robust rate adaptation for 802.11 wireless networks. In: ACM MobiCom (2006)
Xiong, J., Choudhury, R.R.: PeerCast: improving link layer multicast through cooperative relaying. In: IEEE INFOCOM (2011)
Zhang, J., Tan, K., Zhao, J., Wu, H., Zhang, Y.: A practical SNR-guided rate adaptation. In: IEEE INFOCOM (2008)
Zhou, Z., Gao, C., Xu, C., Zhang, Y., Mumtaz, S., Rodriguez, J.: Social big-data-based content dissemination in internet of vehicles. IEEE Trans. Ind. Inform. 14(2), 768–777 (2017)
Acknowledgment
This work was supported in part by the National Key R&D Program of China 2018YFB1004703, National Natural Science Foundation of China grant 61972253, 61672349, 61672353.
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Kong, L., Wang, Z., Duan, Y., Meng, T., Wu, F., Chen, G. (2019). Rate Adaptive Broadcast in Internet of Things. In: Guo, S., Liu, K., Chen, C., Huang, H. (eds) Wireless Sensor Networks. CWSN 2019. Communications in Computer and Information Science, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1785-3_5
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DOI: https://doi.org/10.1007/978-981-15-1785-3_5
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