Abstract
Rain is a relatively frequent long-term event that can reduce the wireless networks throughput and availability. Depending on the rain rate, the communication link may fail completely, bringing about further instability problems of end-to-end paths. One of the effective solutions for reducing the impact of a long-term event such as rain is rerouting. However, the first step for mitigating these effects is to detect the presence and identify the type of long-term event to be able to act correctly. Therefore, it is vital to use an accurate and fast rain detection algorithm that can trigger the rerouting process. Throughout years, many algorithms were proposed to implement efficient and fast routing. Nowadays, software-defined networking (SDN) paradigm eases the deployment of centralized routing approaches by shifting the forwarding intelligence and management to a centralized controller and keeping the network elements as simple as possible. SDN is a promising solution that provides network programmability and facilitates dynamic quality-of-service provisioning. The global view captured by SDN eases reconfiguration and management of the whole backhaul network, which is particularly important in the case of large-scale disturbances of varying intensity and coverage due to weather. This chapter presents models for capturing the impact of rain on wireless channel attenuation, scrutinizes algorithms for rain detection, and discusses different rerouting approaches for mitigating the rain impact.
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References
Abrajano GD, Okada M (2013) Compressed sensing based detection of localized heavy rain using microwave network attenuation. In: Proceedings of European Conference on Antennas and Propagation (EuCAP), pp 2383–2386
Agarwal A, Barman S, Chen N, Lachlan LHA, Wierman A (2015) Online convex optimization using predictions. ACM SIGMETRICS Perform Eval Rev 43(1):191–204
Alicherry M, Bhatia R, Li LE (2005) Joint channel assignment and routing for throughput optimization in multi-radio wireless mesh networks. In: Proceedings of ACM Conference on Mobile Computing and Networking, pp 58–72
Anastasopoulos MP, Cottis PG, Panagopoulos AD (2008) A distributed routing protocol for providing QoS in wireless mesh networks operating above 10 GHz. Wireless Commun Mob Comput 8(10):1233–1245
Azodolmolky S, Kreutz D, Ramos FMV, Rothenberg ChE, Uhlig S, Verissimo P (2015) Software-defined networking: a comprehensive survey. Proc IEEE 103(1):14–76
Bao L, Hansryd J, Noser U, Sandin G, Danielson T (2015) Field trial on adaptive modulation of microwave communication link at 6.8 GHz. In: Proceedings of IEEE European Conference on Antennas and Propagation (EuCAP), pp 1–5
Bertsekas DP (1995) Dynamic programming and optimal control, vol 1, no 2. Athena Scientific, Belmont, MA
Bräysy T, Määttä J (2008) A novel approach to fair routing in wireless mesh networks. EURASIP J Wirel Commun Netw 2009:1–13
Caesar M, Caldwell D, Feamster N, Rexford J, Shaikh A, Van der Merwe J (2005) Design and implementation of a routing control platform. In: Proceedings of the Conference on Symposium on Networked Systems Design & Implementation (NSDI), pp 15–28
Cetinkaya EK, Frost V, Jabbar A, Oberthaler A, Rohrer JP, Sterbenz JPG (2009) Performance comparison of weather disruption-tolerant cross-layer routing algorithms. In: Proceedings of the International Conference on Computer Communications (INFOCOM), pp 1143–1151
Chen J, Rostami A, Wosinska L, Yaghoubi F (2016) Mitigation of rain impact on microwave backhaul networks. In: Proceedings of the IEEE ICC’16, pp 134–139
Crowcroft J, Wang Z (1995) Bandwidth-delay based routing algorithms. In: Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM), vol 3, pp 2129–2133
Cummings RJ, Holt AR, Rahimi AR, Upton GJG (2003) Use of dual-frequency microwave links for measuring path-averaged rainfall. J Geophys Res: Atmos 108(D15)
Furdek M, Rostami A, Wosinka L, Yaghoubi F, Öhlén P (2018) Consistency-aware weather disruption-tolerant routing in SDN-based wireless mesh networks. IEEE Trans Netw Serv Manag 15(2):582–595
Gandhi R, Jin X, Liu H, Harry K, Srikanth M, Ratul Rexford J, Wattenhofer R, Zhang M (2014) Dynamic scheduling of network updates. In: Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (SIGCOMM), vol 44, no 4, pp 539–550
Gill V, Hong Ch-Y, Kandula S, Mahajan R, Nanduri M, Wattenhofer R, Zhang M (2013) Achieving high utilization with software-driven WAN. ACM SIGCOMM Comput Commun Rev 43(4):15–26
Goldshtein O, Messer H, Zinevich A (2009) Rain rate estimation using measurements from commercial telecommunications links. IEEE Trans Signal Process 57(4):1616–1625
Goldsmith AJ, Chua S-G (1998) Adaptive coded modulation for fading channels. IEEE Trans Commun 46(5):595–602
Gudipati A, Katti S, Li LE, Perry D (2013) SoftRAN: software defined radio access network. In: Proceedings of the Second ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking, pp 25–30
Imran M, Jaber M, Tafazolli R, Tukmanov A (2015) An adaptive backhaul-aware cell range extension approach. In: Proceedings of the International Conference on Communication Workshop (ICCW), pp 74–49
ITU Recommendation P.530-12. Propagation data and prediction methods required for the design of terrestrial line-of-sight systems. Geneva, Switzerland
Kilpi J, Seppänen K, Suihko T (2014) Integrating WMN based mobile backhaul with SDN control. In: International Internet of Things Summit. Springer, pp 222–233
Jain S, Kumar A, Mandal S, Ong J, Poutievski L, Singh A, Venkata S, Wanderer J, Zhou J, Zhu M et al (2013) Experience with a globally-deployed software defined WAN. SIGCOMM Comput Commun Rev 43(4):3–14
Li D, Wang S, Xia Sh (2015) The problems and solutions of network update in SDN: a survey. In: Proceedings of the IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp 474–479
Lin SH (1975) A method for calculating rain attenuation distributions on microwave paths. Bell Syst Tech J 54(6):1051–1086
Little S (2009) Is microwave backhaul up to the 4G task? IEEE Microwave Mag 10(5):67–74
Mahajan R, Wattenhofer R (2013) On consistent updates in software defined networks. In: Proceedings of the Workshop on Hot Topics in Networks, p 20
Acknowledgements
This chapter is based on work from COST Action CA15127 (“Resilient communication services protecting end-user applications from disaster-based failures—RECODIS”) supported by COST (European Cooperation in Science and Technology).
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Yaghoubi, F., Furdek, M., Rostami, A., Öhlén, P., Wosinska, L. (2020). Resilient SDN-Based Routing Against Rain Disruptions for Wireless Networks. In: Rak, J., Hutchison, D. (eds) Guide to Disaster-Resilient Communication Networks. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-44685-7_20
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