Mean based Load Adaptation Algorithms (MLAA) for Energy Saving in FiWi Access Networks

Abstract

Abstract

Fiber Wireless (FiWi) network has been evolving as a promising broadband access network. It provides high data rate, flexibility and stability to the users. Exponential growth in broadband access networks has opened many research challenges. Energy conservation is one of them. In FiWi network, among all the components, optical network unit (ONU) consumes most of the power of the network. Hence, to keep ONU in low power state while ensuring required quality of service (QoS) contributes towards energy saving in FiWi network. In this paper, we propose Mean based Load Adaptation Algorithms (MLAA) viz. algorithm 1 and algorithm 2 for delay insensitive and delay sensitive services, respectively. It is clear from simulation results that proposed algorithms provide energy saving while ensuring required quality of service (QoS) in terms of delay. Proposed algorithms are low complex and easy to implement. Beside, algorithm 2 avoid the necessity of handshaking signals which results in further energy saving.

Keywords: Energy saving, Load adaption, FiWi, ONU, QoS

Cite this Article

Uma Rathore Bhatt, Abhilasha Chaure, Raksha Upadhyay. Mean based Load Adaptation Algorithms (MLAA) for Energy Saving in FiWi Access Networks. Trends in Opto-Electro & Optical Communications. 2016; 6(3): 23–32p.