Energy Efficient Switching And Routing Technologies In Heterogeneous Wireless Network

With the development of mobile communication technology, and broadband wireless communication technology, the next generation wireless network tend to be a heterogeneous one. Heterogeneous network selection algorithm can be expected to play an increasingly important role in the future wireless communication network. Due to the difference in energy consumption of different networks, selecting appropriate access network according to energy consumption characteristics and applications for mobile terminal (MT) can effectively extend battery life. In this paper, a fuzzy neural network based energy efficient network selection method is proposed. To select the optimal network and achieve the best balance between performance and energy consumption, the proposed method takes network bandwidth, signal strength, quality of service(QoS) and energy consumption into account. A novel energy efficiency utility function is proposed to calculate the energy utility value of different applications based on real-time and non-real-time service. And the calculated energy utility value together with other QoS parameters is input into fuzzy neural network (FNN) for subsequent processing. Finally, the most appropriate network can be selected by comparing the inference results of fuzzy neural network. In addition, when ad hoc mode is applied to3/4G wireless data networks, VANETs, and IEEE802.11WLANs for a more seamless integration of heterogeneous wireless networks, we devise a route-selection algorithm for forwarding data packets to the most appropriate attachment point to maximize collective battery lifetime and maintain load balancing. Results based on a detailed performance evaluation study are also presented here to demonstrate the efficacy of the proposed algorithms.