Directional Routing Algorithm for Deep Space Optical Network
Directional Routing Algorithm for Deep Space Optical Network作者机构:Key Laboratory of Medical Image Computing of Northeastern University Ministry of Education School of Computer Science and Engineering Northeastern University Shenyang 110819 China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China State Key Laboratory of Information Photonics and Optical Communications (BUPT) 100876 China
出 版 物:《China Communications》 (中国通信(英文版))
年 卷 期:2017年第14卷第1期
页 面:158-168页
核心收录:
学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 0839[工学-网络空间安全] 08[工学] 0803[工学-光学工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by National Natural Science Foundation of China (61471109, 61501104 and 91438110) Fundamental Research Funds for the Central Universities ( N140405005 , N150401002 and N150404002) Open Fund of IPOC (BUPT, IPOC2015B006)
主 题:deep space optical network routing algorithm directional flooding routing algorithm traditional flooding routing algorithm
摘 要:With the development of science, economy and society, the needs for research and exploration of deep space have entered a rapid and stable development stage. Deep Space Optical Network(DSON) is expected to become an important foundation and inevitable development trend of future deepspace communication. In this paper, we design a deep space node model which is capable of combining the space division multiplexing with frequency division multiplexing. Furthermore, we propose the directional flooding routing algorithm(DFRA) for DSON based on our node model. This scheme selectively forwards the data packets in the routing, so that the energy consumption can be reduced effectively because only a portion of nodes will participate the flooding routing. Simulation results show that, compared with traditional flooding routing algorithm(TFRA), the DFRA can avoid the non-directional and blind transmission. Therefore, the energy consumption in message routing will be reduced and the lifespan of DSON can also be prolonged effectively. Although the complexity of routing implementation is slightly increased compared with TFRA, the energy of nodes can be saved and the transmission rate is obviously improved in DFRA. Thus the overall performance of DSON can be significantly improved.