为了降低水下传感器网络通信过程中端到端时延,提高发送成功率,平衡节点能耗,延长网络生存时间,在水下传感网基于深度信息的路由协议（Depth Based Routing,DBR）的基础上,提出了基于深度信息的定向路由协议（Depth Based Directional R...为了降低水下传感器网络通信过程中端到端时延,提高发送成功率,平衡节点能耗,延长网络生存时间,在水下传感网基于深度信息的路由协议（Depth Based Routing,DBR）的基础上,提出了基于深度信息的定向路由协议（Depth Based Directional Routing,DBDR）.新算法以源节点与目的节点间线段为轴线建立半径为w的虚拟管道,只有管道内节点才有转发数据资格,管道内节点以基于深度信息的路由协议发送数据包,并提出了新的以节点深度和能量为权重的转发时延算法.基于NS2的仿真表明,与DBR相比较,DBDR协议的端到端时延减少了23%～42%左右,数据包发送成功率达到95%以上,实验结果表明,DBDR可以更好地平衡网络中节点能耗,延长网络生存时间,提高数据包传递成功率,降低了数据包通信时延.展开更多
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 i...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.展开更多
文摘为了降低水下传感器网络通信过程中端到端时延,提高发送成功率,平衡节点能耗,延长网络生存时间,在水下传感网基于深度信息的路由协议（Depth Based Routing,DBR）的基础上,提出了基于深度信息的定向路由协议（Depth Based Directional Routing,DBDR）.新算法以源节点与目的节点间线段为轴线建立半径为w的虚拟管道,只有管道内节点才有转发数据资格,管道内节点以基于深度信息的路由协议发送数据包,并提出了新的以节点深度和能量为权重的转发时延算法.基于NS2的仿真表明,与DBR相比较,DBDR协议的端到端时延减少了23%～42%左右,数据包发送成功率达到95%以上,实验结果表明,DBDR可以更好地平衡网络中节点能耗,延长网络生存时间,提高数据包传递成功率,降低了数据包通信时延.
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)
文摘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.
