Design And Simulation Implementation Of Energy-saving Algorithms In Wireless-Optical Broadband Access Networks

With the increase of global greenhouse effect and the growth of energy shortage, the energy-saving with low carbon emission and the greening economy development has became the focus and consensus within the whole world. Furthermore, excessive energy consumption has became a major obstacle for improving the future network and the corresponding problems have gained extensive attention from research community. Therefore, how to reduce the consumed energy has become one of important issues in the field of network system. Since the access network plays the dominant role of energy consumption in the whole network, it is necessary to study the energy-efficient design on access technique with high quality of service while decreasing the "carbon footprint" as much as possible, which is much significant to construct the green networks.This thesis focuses on the energy-saving problems in Wirless-Optical Broadcast Access Network (WOBAN). On the basis of multi-radio Wireless Mesh Ntework (WMN) with high capacity and genetic algorithm, this thesis designs four energy-saving algorithm namely SEGAM, DEGAM, SEGA-S-M and DEGA-S-M to get a green WOBAN. Among the four energy-saving algorithms, SEGAM and DEGAM are designed to get an optimal topology of the WOBAN front-end. SEGAM is targeted at how to get the minimum watt consumption of the wireless front-end. Both the power consumption and the cost decreased in the optimal topology of the WOBAN front-end provided by SEGAM. DEGAM is targeted at how to get the minimum power consumption and the minimum average hops from wireless router to ONU in WOBAN. While geting an energy-saving and cost-saving topology of the wireless front-end, DEGAM can guarantee the average End-to-End delay in WOBAN. SEGA-S-M combines sleep mechanism of ONU with SEGAM and DEGA-S-M combines sleep mechanism of ONU with DEGAM. SEGA-S-M and DEGA-S-M can reduce the power consumption both in the front-end and in the back-end of the WOBAN. The new two algorithms with sleep mechanism of ONU can reduce more power than SEGAM and DEGAM. To evaluate the performances of the proposed algorithms, this thesis develops the simulation through the VC++6.0software. The simulation results demonstrate that the proposed energy-saving algorithms can effectively reduce the energy consumption in WOBAN and it may guide the work to construct the green WOBAN in future.