

Liu, Y., et al.: Auxiliary graph based protection for survivable fiber-wireless (FiWi) access network considering different levels of failures. Opt. Fiber Technol. Li, Y., et al.: Integrated fiber-wireless (FiWi) access networks supporting inter-ONU communications. J. Light. Technol. Khalili, H., et al.: An energy-efficient distributed dynamic bandwidth allocation algorithm for passive optical access networks. Sustainability 12(6), 2264 (2020) Kaursidhu, R., Singh, H.: Suppression of FWM effects by using cost effective combined DCF and FBG module. Kaur, R., et al.: Resource allocation and QoS guarantees for real world IP traffic in integrated XG-PON and IEEE802. In: 2010 12th International Conference on Transparent Optical Networks. Kantarci, B., Mouftah, H.T.: Reliable and fast restoration for a survivable wireless-optical broadband access network. Kannhavong, B., et al.: A survey of routing attacks in mobile ad hoc networks. IEEE Wireless Commun. FCC Office of Strategic Planning and Policy Analysis Working Paper (2003) Ismail, S., Wu, I.: Broadband internet access in OECD countries: a comparative analysis. He, C., Wang, R.: A QoE-aware energy supply scheme over a FiWi access network in the 5G Era. Sensors 20(13), 3794 (2020) Ghazisaidi, N., Maier, M., Chadi, M.: Assi: Fiber-wireless (FiWi) access networks: a survey. IEEE Commun. Mag. Ghazisaidi, N., Maier, M.: Fiber-wireless (FiWi) access networks: challenges and opportunities. IEEE Netw. 41(3), 51–57 (2003)ĭhaini, A.R., Ho, P.-H., Jiang, X.: QoS control for guaranteed service bundles over fiber-wireless (FiWi) broadband access networks. J. Light. Technol. DSTI/ICCP/IE (2007)ĭavis, C.C., Smolyaninov, I.I., Milner, S.D.: Flexible optical wireless links and networks. IEEE Commun. Mag. 3(1), 151–156 (2016)Īurzada, F., et al.: FiWi access networks based on next-generation PON and gigabit-class WLAN technologies: a capacity and delay analysis. IEEE/ACM Trans. The simulation results also show that queuing delay is minimized by 30% as compared to existing DBA method.Īlkhazaali, N.H., et al.: Survey smoothly fiber-wireless (FiWi) accessing wireless networks: convergence and challenges. Indones. J. Electr. Eng. Comput. Sci. The performance of FiWi networks is increased by 60% for proposed DBA approach whereas throughput is increased by 55% as compared to existing DBA method. From the simulation results, it is showing that proposed DBA method is having better performance in terms of queuing delay and packet delivery ratio as compared to existing methods. The proposed method is simulated and evaluated using MATLAB simulator. This algorithm works according to different TDMA slots (those are treated as levels) in order minimize the congestion in FiWi Networks, so it can help to minimize the queuing delay performance. The real time data is placed into the queue which is having the highest priority queue, while the non-real-time data is placed into other two queues depending on the threshold values set for them. In proposed method, every ONU is configured with three levels of priority queues. The innovation of the proposed method compared to previous methods provides a complete multilevel framework for reducing delays to an acceptable level. To solve the problem of increasing delay in FiWi networks due to increasing number of users, connection patterns and traffic congestion, in this work we proposed a multilevel, multi-queue based DBA method, so it is called Multilevel Multi-queue DBA. Hence, it is required to have efficient queuing method at ONU to allocate bandwidth efficiently to get high speed performance of FiWi one of such methods is called as Dynamic Bandwidth Allocation (DBA). Increasing queuing delay resulted into decreasing the throughput performance of FiWi networks. But the major problem with these networks is as the number of mobile user’s increases, queuing delay is increasing at FiWi’s Optical Network Unit (ONU). FiWi supports the mobility of wireless networks as well as high bandwidth of optical networks. The recent solution for this is used by Fiber-Wireless (FiWi) network which it can provide the high throughput for end users. In recent years demand for high speed and robust wireless networks are increasing due to the growth of accessing social networks from mobiles and computer systems.
