Abstract
As the deployment of wireless multimedia sensor networks (WMSNs) increases sharply, the control granularity of traditional quality of service (QoS) technologies present weak assistance to satisfy the various application requirements. In this paper, we propose a novel architecture of software-defined network (SDN) based content-centric QoS-guaranteed (SCQG) for WMSNs. The SDN is an innovative network paradigm, which has capability to uniformly monitor and control the WMSNs’ infrastructures automatically. In proposed architecture, we formulate proper priority for each content based on its popularity in WMSNs. And also, we extend the SDN controller to match the content and make flow tables each content requests. Besides, we design an k-nearest neighbor (KNN) based machine-learning algorithm to identify the popularity of different contents.
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References
Baccarelli, E., Chiti, F., Cordeschi, N., Fantacci, R., Marabissi, D., Parisi, R., Uncini, A.: Green multimedia wireless sensor networks: distributed intelligent data fusion, in-network processing, and optimized resource management. IEEE Wirel. Commun. 21(4), 20–26 (2014)
Gaolei, L., Mianxiong, D., Kaoru, O., Jun, W., Jianhua, L., Tianpeng, Y.: Towards QoE named content-centric wireless multimedia sensor networks with mobile sinks. In: IEEE International Conference on Communication (ICC) (2017)
Kreutz, D., Ramos, F.M.V., Esteves Verissimo, P., Esteve Pothenberg, C., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103(1), 14–76 (2015)
McKeown, N., Anderson, T., Balakrishnan, H., Parulkar, G., Peterson, L., Rexford, J., Shenker, S., Turner, J.: OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev. 38(2), 69–74 (2008)
Lara, A., Kolasani, A., Ramamurthy, B.: Network innovation using OpenFlow: a survey. IEEE Commun. Surv. Tutor. 16(1), 493–512 (2014)
Akyildiz, I.F., Lee, A., Wang, P., et al.: A roadmap for traffic engineering in SDN-OpenFlow networks. Comput. Netw. 71(4), 1–30 (2014)
Agarwal, S., Kodialam, M., Lakshman, T.V.: Traffic engineering in software defined networks. In: INFOCOM, 2013 Proceedings IEEE, pp. 2211–2219. IEEE (2013)
Yassine, A., Rahimi, H., Shirmohammadi, S.: Software defined network traffic measurement: current trends and challenges. Instrum. Meas. Mag. IEEE 18(2), 42–50 (2015)
Yong, C., Shihan, X., Chunpeng, L., Stojmenovic, I., Minming, L.: Data centers as software defined networks: traffic redundancy elimination with wireless cards at routers. IEEE J. Sel. Areas Commun. 31(12), 2658–2672 (2013)
Qazi, Z.A., Lee, J., Jin, T., et al.: Application-awareness in SDN. ACM SIGCOMM Comput. Commun. Rev. 43(4), 487–488 (2013)
Zhenyun, Z., Tae-Young, C., Raghupathy, S., Aravind, V.: Application-aware acceleration for wireless data networks: design elements and prototype implementation. IEEE Trans. Mob. Comput. 8(9), 1280–1295 (2009)
Amemiya, K., Abiru, K., Ishihara, T.: Application-aware traffic control for network-based data processing services. In: IEEE International Conference on Intelligence in Next Generation Networks (ICIN), pp. 142–147 (2012)
Jarschel, M., Wamser, F., Hohn, T., Zinner, T., Tran-Gia, P.: SDN based application-aware networking on the example of YouTube video streaming. In: 2013 Second European Workshop on Software Defined Networks (EWSDN), vol. 87, no. 92 (2013)
Gaolei, L., Mianxiong, D., Kaoru, O., Jun, W., Jianhua, L., Tianpeng, Y.: Deep packet inspection based application-aware traffic control for software defined networks. In: IEEE Global Communication Conference, pp. 1–6 (2017)
Chang-Su, M., Sun-Hyung, K.: A study on the integrated security system based real-time network packet deep inspection. Int. J. Secur. Appl. 8(1), 113–122 (2014)
Al-Anbagi, I., Erol-Kantarci, M., Mouftah, H.T.: A survey on cross-layer quality-of-service approaches in WSNs for delay and reliability aware applications. IEEE Commun. Surv. Tutor. 18(1), 525–552 (2016)
Kaulbars, D., Schweikowski, F., Wietfeld, C.: Spatially distributed traffic generation for stress testing the robustness of mission critical smart grid communication. In: IEEE Globecom Workshops (GC Wkshps) (2015)
Spachos, P., Toumpakaris, D., Hatzinakos, D.: QoS and energy-aware dynamic routing in wireless multimedia sensor networks. In: IEEE International Conference on Communications (ICC), pp. 6935–6940 (2015)
Kogan, K., Nikolenko, S., Culhane, W., et al.: Towards efficient implementation of packet classifiers in sdn/OpenFlo. In: Proceedings of the Second ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking, pp. 153–154 (2013)
Dainotti, A., Pescape, A., Claffy, K.C.: Issues and future directions in traffic classification. IEEE Netw. 26(1), 35–40 (2012)
Finsterbusch, M., Richter, C., Rocha, E., Muller, J.-A., Hanssgen, K.: A survey of payload-based traffic classification approaches. IEEE Commun. Surv. Tutor. 16(2), 1135–1156 (2014)
Acknowledgments
This work was supported by the National Science Foundation of China (Grant No. 61401273 and 61431008) and Shanghai Science and Technology Committee (Grant No. 15PJ1433800 and 14DZ1104903).
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Li, G., Wu, J., Li, J., Wang, K., He, S. (2018). SDN Based Content-Centric QoS-Guaranteed for Wireless Multimedia Sensor Networks. In: Chen, Y., Duong, T. (eds) Industrial Networks and Intelligent Systems. INISCOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-319-74176-5_4
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