摘要
In order to solve the problem the existing vertical handoff algorithms of vehicle heterogeneous wireless network do not consider the diversification of network's status, an optimized vertical handoff algorithm based on markov process is proposed and discussed in this paper. This algorithm takes into account that the status transformation of available network will affect the quality of service(Qo S) of vehicle terminal's communication service. Firstly, Markov process is used to predict the transformation of wireless network's status after the decision via transition probability. Then the weights of evaluating parameters will be determined by fuzzy logic method. Finally, by comparing the total incomes of each wireless network, including handoff decision incomes, handoff execution incomes and communication service incomes after handoff, the optimal network to handoff will be selected. Simulation results show that: the algorithm proposed, compared to the existing algorithm, is able to receive a higher level of load balancing and effectively improves the average blocking rate, packet loss rate and ping-pang effect.
In order to solve the problem the existing vertical handoff algorithms of vehicle heterogeneous wireless network do not consider the diversification of network＇s status, an optimized vertical handoff algorithm based on markov process is proposed and discussed in this paper. This algorithm takes into account that the status transformation of available network will affect the quality of service （QoS） of vehicle terminal＇s communication service. Firstly, Markov process is used to predict the transformation of wireless network＇s status after the decision via transition probability. Then the weights of evaluating parameters will be determined by fuzzy logic method. Finally, by comparing the total incomes of each wireless network, including handoff decision incomes, handoff execution incomes and communication service incomes after handoff, the optimal network to handoff will be selected. Simulation results show that： the algorithm proposed, compared to the existing algorithm, is able to receive a higher level of load balancing and effectively improves the average blocking rate, packet loss rate and ping-pang effect.
基金
supported in part by the National Natural Science Foundation of China under grant No. 61271259, No. 61301123, No. 61471076
Scientific and Technological Research Program of Chongqing Municipal Education Commission of Chongqing of China under Grant No.KJ130536
作者简介
MA Bin, the corresponding author, received Ph.D. Degrees in computer science and technology from Chongqing University （CQU）, Chongqing, China. He is currently served as an Associate professor in CQUPT. His research interests include wireless heterogeneous network, cognitive radio network. His recent work focuses on the key techniques of resource manage- ment in Cognitive radio networks and wireless het- erogeneous networks. Email： mab_cqupt@sina.comDENG Hong, received the B. Sc. degree from North Sichuan Medical University （NSMU）, Nanchong, Si- chuan, China. She is currently working toward the M. Sc. degree with the College of computer science and technology in CQUPT. Her recent work focuses on the key techniques of resource management in wire- less heterogeneous networks.XIE Xianzhong, received Ph.D. Degrees in Signal and Information Processing from Xi Dian University, Xi＇an, China. He is currently served as a professor in CQUPT. And he is the leader of the team ＂Chongqing Key Laboratory of Computer Network and Commu- nication Technology＂ in this institute. His research interests include wireless communication technology and application of computer network. His recent work focuses on the cognitive radio networks.LIAO Xiaofeng, received the Ph.D. degree in circuits and systems from the University of Electronic Science and Technology, Chengdu, China. He is currently a Professor and Yangtze River Scholar in Chongqing University. He has published over 100 academic journal and conference papers. Currently, his main research interests include neural networks, nonlinear dynamical systems, bifurcation and chaos, synchro- nization and control of chaos, signal processing, and wireless network.
