Abstract
Massive advancement of network traffic has been observed lately since the significant usage of online application and cloud administration. Thus, various routing issues need to be managed without increasing the latency to ensure even traffic. Software-defined networking (SDN) is developed to address the above-mentioned issue. SDN allows the network’s programmable features and responses gradually. The suggested system addresses the concerns raised due to multipath steering through SDN. The application of OpenFlow convention and Ryu controller is done to implement SDN with the help of the Mininet-WiFi emulator. The SDN network is designed using a graphical UI program, and the module is implemented with Python programming along with OpenFlow based-Ryu controller. The breadth-first search (BFS) and depth-first search (DFS) schemes are portrayed to calculate the briefest path in the system. Finally, a round trip time (RTT) is observed to ensure the most suitable search algorithm among them to be used in the module resulting in DFS being the preferred algorithm.
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References
S. Parnin, M.M. Rahman, Human location detection system using micro electromechanical sensor for intelligent fan, in International Conference on Mechanical, Automotive and Aerospace Engineering (2016). https://doi.org/10.1088/1757-899x/184/1/012042
K.L. Ku, J.S. Liaw, M.Y. Tsai, T.S. Liu, Automatic control system for thermal comfort based on predicted mean vote and energy saving, in IEEE Transactions on Automation Science and Engineering, vol. 12, no. 1 (2015)
M. Aftab, C. Chau, P. Armstrong, Smart air-conditioning control by wireless sensors: an online optimization approach, in International conference on Future energy systems (2013). https://doi.org/10.1145/2487166.2487192
D.V. Babu, D.K. Yadav, N.K. Yadav, V.K. Verma, MEMS based smart and secure home automation system with multi-way control and monitoring facility using smart phone. J. Chem. Pharm. Sci. 9, 357–359 (2015)
A. Aswani, N. Master, J. Taneja, D. Culler, C. Tomlin, Reducing transient and steady state electricity consumption in hvac using learning-based model-predictive control. Proc. IEEE 100(1), 240–253 (2012). https://doi.org/10.1109/JPROC.2011.2161242
J.Y.H. Wang, Y.K. Chuah, S.W. Chou, T.H. Lo, Non-invasive Zigbee wireless controller for air conditioner energy saving, in 7th International Conference on Wireless Communications, Networking and Mobile Computing, Wuhan, pp. 1–4 (2011). https://doi.org/10.1109/wicom.2011.6040311
Thermal camera.: https://learn.adafruit.com/adafruit-amg8833-8x8-thermal-camera-sensor/overview, 28.09.2018
Raspberry pi zero.: https://learn.adafruit.com/introducing-the-raspberry-pi-zero?view=all, 28.09.2018
IR sensor.: https://learn.adafruit.com/ir-sensor?view=all, 28.09.2018
N. McKeown, T. Anderson, H. Balakrishnan, G. Parulkar, L. Peterson, J. Rexford, S. Shenker, J. Turner, OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev. 38(2), 69–74 (2008)
M. Al-Fares, A. Loukissas, A. Vahdat, A scalable, commodity data center network architecture. ACM Sigcomm Comput. Commun. Rev. 38(4), 63–74 (2008)
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Javed Mehedi Shamrat, F.M., Ghosh, P., Dipu Sultan, M., Majumder, A., Mahmud, I. (2021). Software-Defined Networking with Multiple Routing Utilizing DFS to Improving QoS. In: Tavares, J.M.R.S., Chakrabarti, S., Bhattacharya, A., Ghatak, S. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 164. Springer, Singapore. https://doi.org/10.1007/978-981-15-9774-9_44
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DOI: https://doi.org/10.1007/978-981-15-9774-9_44
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