Abstract
Since internet access is used by billions of people worldwide and the number of internet user is also increasing every day, a new technology called as wireless mesh network (WMN) is becoming popular. This is because it has some desirable characteristic, but it has some limitation for multi-hop routing, bandwidth, and many more. In order to overcome these issues, we proposed Way-Point Multicast Routing Framework (WPMRF) for improving the quality of service (QoS) in Hybrid WMN. Initially, the multicast framework is established based on the minimum load factor. The route established with least load factor is considered, as it avoids any kind of congestion in the network. After that, segmentation of route is done, and the way-point nodes are selected to join the multicast session. After that, the transmission is performed using MAODV and ODMRP protocol. In addition, an estimated route disconnection parameter is used for fast route recovery process and helps to select more reliable route path. The advantage of the proposed work is that it provides more reliable routing path to increase the quality of service (QoS) with fast route recovery process.
References
Wang, X., et al. (2012). A survey of green mobile networks: opportunities and challenges. MONET, 17(1), 4–20.
Zeng, Y., et al. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.
Li, P., et al. (2012). CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding. INFOCOM, 100–108.
Song, Yuning, et al. (2014). A biology-based algorithm to minimal exposure problem of wireless sensor networks. IEEE Transactions on Network and Service Management, 11(3), 417–430.
Cho, S. Y., Adjih, C. E., & Jacquet, P. (2007). “An association discovery protocol for hybrid wireless mesh networks”. The Sixth Annual Mediterranean Ad Hoc Networking WorkShop, Corfu, Greece, June 12–15.
Pirzada, A. A., & Portmann, M. (2007). “High performance AODV routing protocol for hybrid wireless mesh networks”. In Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous).
Liu, Y., et al. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. IET Communications, 4(7), 810–816.
Pirzada, A. A., Portmann, M., & Indulska, J. (2008). Performance analysis of multi-radio AODV in hybrid wireless mesh networks. Computer Communications, 31, 885–895.
Ding, Y., Pongaliur, K., & Xiao, L. (2009). “Hybrid multi-channel multi-radio wireless mesh networks”. 17th International Workshop on Quality of Service (IWQoS).
Rawat, P., & Aswal, M. S. (2010). Integrated security framework for hybrid wireless mesh networks, (IJCSE). International Journal on Computer Science and Engineering, 2(04), 1136–1141.
Busch, B., et al. (2012). Approximating congestion + dilation in networks via “quality of routing” games. IEEE Transactions on Computers, 61(9), 1270–1283.
Li, Peng, et al. (2014). Reliable multicast with pipelined network coding using opportunistic feeding and routing. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3264–3273.
Meng, Tong, et al. (2015). Spatial reusability-aware routing in multi-hop wireless networks. IEEE TMC,. doi:10.1109/TC.2015.2417543.
Dvir, A., et al. (2011). Backpressure-based routing protocol for DTNs. ACM SIGCOMM Computer Communication Review, 41(4), 405–406.
Marwaha, S., et al. (2004). Evolutionary fuzzy multi-objective routing for wireless mobile ad hoc networks. Evolutionary Computation, 2004. CEC2004. Congress on, 2, 1964–1971.
Vasilakos, A., (2003). Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews.
Quan, W., et al. (2014). TB2F: Tree-bitmap and bloom-filter for a scalable and efficient name lookup in content-centric networking. IFIP Networking.
Yen, Yun-Sheng, et al. (2011). Flooding-limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs. Mathematical and Computer Modelling, 53(11–12), 2238–2250.
Spyropoulos, Thrasyvoulos, et al. (2010). Routing for disruption tolerant networks: Taxonomy and design. Wireless Networks, 16(8), 2349–2370.
Vasilakos, A., et al. (2012). Delay tolerant networks: Protocols and applications. Boca Raton: CRC Press.
Youssef, M., et al. (2014). Routing metrics of cognitive radio Networks: A survey. IEEE Communications Surveys and Tutorials, 16(1), 92–109.
Woungang, I., et al. (2013). Routing in opportunistic networks. Berlin: Springer.
Zhang, X. M., et al. (2015). Interference-based topology control algorithm for delay-constrained mobile Ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–754.
Kone, V., Das, S., Zhao, B. Y., & Zheng, H. (2007). “QUORUM—quality of service routing in wireless mesh networks. Mobile Networks and Applications, 358–369.
Wu, H., & Jia, X. (2007). QoS multicast routing by using multiple paths/trees in wireless ad hoc networks. Ad Hoc Networks, 5, 600–612.
Duarte, P. B. F., et al. (2012). On the partially overlapped channel assignment on wireless mesh network backbone: A game theoretic approach. Selected Areas in Communications, IEEE Journal on, 30(1), 119–127.
Attar, A., et al. (2012). A survey of security challenges in cognitive radio networks: Solutions and future research directions. Proceedings of the IEEE, 100(12), 3172–3186.
Vasilakos, A. V., et al. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1–10.
Yao, Y., et al. (2013). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. MASS, 182–190.
Kumar, N., Iqbal, R., Chilamkurti, N., & James, A. (2011). An ant based multi constraints QoS aware service selection algorithm in wireless mesh networks. Simulation Modelling Practice and Theory, 19, 1933–1945.
Bai, R., & Singhal, M. (2006). DOA: DSR over AODV routing for mobile ad hoc networks. IEEE Transactions on Mobile Computing, 5(10), 1403–1416.
Zhao, L., Al-Dubai, A. Y., & Min, G. (2010). GLBM: A new QoS aware multicast scheme for wireless mesh networks”. Journal of Systems and Software, 83, 1318–1326.
Jiang, H., Zheng, L., Liu, Y., & Zhang, M., (2010). Multi-constratined QOS routing optimization of wireless mesh network based on hybrid genetic algorithm. International Conference on Intelligent Computing and Integrated Systems (ICISS), Guilin.
Pourfakhar, E., & Rahmani, A. M. (2010). A hybrid QoS multicast framework-based protocol for wireless mesh networks. Computer Communications, 33, 2079–2092.
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Narayana Rao, A., Subba Rao, C.D.V. Way-Point Multicast Routing Framework for improving QoS in hybrid wireless mesh networks . Wireless Netw 22, 2681–2694 (2016). https://doi.org/10.1007/s11276-015-1086-x
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DOI: https://doi.org/10.1007/s11276-015-1086-x