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An optimization framework for FiWi access network: Comprehensive solution for green and survivable deployment

机译：FiWi接入网络的优化框架：绿色，可持续部署的全面解决方案

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摘要

Fiber Wireless (FiWi) access network also known as hybrid wireless optical broadband access network is a promising modern access technology as it provides high bandwidth, better flexibility, reliability and stability at lower cost. Likewise other access networks, energy saving and survivability are the most important issues in FiWi also. Therefore this paper provides an optimization framework as a comprehensive solution for deployment of green and survivable FiWi network. We optimize ONUs position in the network using different optimization algorithms such as genetic algorithm, teaching learning based optimization algorithm and whale optimization algorithm (Encircling Prey and Spiral Update Positioning). This optimization helps in achieving energy efficiency and survivability by mutually connecting maximum possible ONUs and wireless routers to each other. An extensive simulation is carried out to show the effectiveness of the present work. Simulation results show reduction in number of all time active ONUs, total physical distance among ONUs and associated wireless routers and total active time of the network. At the same time survivability is achieved by increasing average ONU connectivity of wireless routers. A detailed comparison of applied algorithms states that out of different optimization algorithms, genetic algorithm provides best energy efficiency but average survivability. Teaching learning based optimization & whale optimization algorithm (Encircling Prey) are average energy efficient but survivability offered by these algorithms are average and excellent respectively. Similarly whale optimization algorithm (Spiral Update Positioning) provides good energy efficiency but average survivability. Hence as per the need of energy efficiency and survivability, suitable optimization algorithm can be selected for deployment of green and survivable FiWi access network.
机译：光纤无线（FiWi）接入网络也称为混合无线光纤宽带接入网络，是一种很有前途的现代接入技术，因为它以较低的成本提供了高带宽，更好的灵活性，可靠性和稳定性。与其他接入网一样，节能和生存能力也是FiWi中最重要的问题。因此，本文提供了一个优化框架，作为部署绿色且可生存的FiWi网络的综合解决方案。我们使用遗传算法，基于教学学习的优化算法和鲸鱼优化算法（环绕猎物和螺旋更新定位）等不同的优化算法来优化ONU在网络中的位置。通过将最大可能的ONU和无线路由器相互连接，此优化有助于实现能源效率和可生存性。进行了广泛的仿真，以显示当前工作的有效性。仿真结果表明，所有时间处于活动状态的ONU数量减少，ONU与关联的无线路由器之间的总物理距离以及网络的总激活时间减少了。同时，通过增加无线路由器的平均ONU连接性来实现可生存性。应用算法的详细比较表明，在不同的优化算法中，遗传算法可提供最佳的能源效率，但具有平均生存能力。基于教学学习的优化和鲸鱼优化算法（环绕猎物）具有中等能源效率，但这些算法提供的生存能力分别中等和出色。同样，鲸鱼优化算法（螺旋更新定位）可提供良好的能源效率，但具有平均生存能力。因此，根据能源效率和可生存性的需求，可以选择合适的优化算法来部署绿色且可生存的FiWi接入网络。

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