Low Earth Orbit (LEO) satellites provide short round-trip delays and are becoming in- creasingly important. One of the challenges in LEO satellite networks is the development of specialized and efficient routing algor...Low Earth Orbit (LEO) satellites provide short round-trip delays and are becoming in- creasingly important. One of the challenges in LEO satellite networks is the development of specialized and efficient routing algorithms. To satisfy the QoS requirements of multimedia applications, satellite routing protocols should consider handovers and minimize their effect on the active connections. A distributed QoS routing scheme based on heuristic ant algorithm is proposed for satisfying delay bound and avoiding link congestion. Simulation results show that the call blocking probabilities of this al- gorithm are less than that of Shortest Path First (SPF) with different delay bound.展开更多
In order to establish a route supporting multi-constrained quality of service（QoS）, increase network throughput and reduce network energy consumption, an improved ant colony-based multi-constrained QoS energy-saving...In order to establish a route supporting multi-constrained quality of service（QoS）, increase network throughput and reduce network energy consumption, an improved ant colony-based multi-constrained QoS energy-saving routing algorithm（IAMQER） is proposed. The ant colony algorithm, as one of the available heuristic algorithms, is used to find the optimal route from source node to destination node. The proposed IAMQER algorithm, which is based on the analysis of local node information such as node queue length, node forwarding number of data packets and node residual energy, balances the relationship between the network throughput and the energy consumption, thus improving the performance of network in multi-constrained QoS routing. Simulation results show that this IAMQER algorithm can find the QoS route that reduce average energy consumption and improves network packet delivery ratio under the end-to-end delay and packet loss ratio constraints.展开更多
低地球轨道(Low Earth Orbit,LEO)卫星系统因能够提供多媒体通信服务而成为卫星通信研究的热点.有效的路由算法设计是LEO卫星网络中的一个关键问题.为了满足多媒体应用的服务质量(Quality of Service,QoS)要求,卫星的路由算法应当考虑...低地球轨道(Low Earth Orbit,LEO)卫星系统因能够提供多媒体通信服务而成为卫星通信研究的热点.有效的路由算法设计是LEO卫星网络中的一个关键问题.为了满足多媒体应用的服务质量(Quality of Service,QoS)要求,卫星的路由算法应当考虑切换的影响.文章提出了一种基于启发式蚂蚁算法的分布式的QoS路由策略,可以满足延时限制,同时避免链路拥塞.仿真结果显示在不同的延时限制条件下,相对于最短路径优先算法,该算法具有较低的呼叫阻塞概率.展开更多
基金Supported by the National Natural Science Foundation of China (No.60372013).
文摘Low Earth Orbit (LEO) satellites provide short round-trip delays and are becoming in- creasingly important. One of the challenges in LEO satellite networks is the development of specialized and efficient routing algorithms. To satisfy the QoS requirements of multimedia applications, satellite routing protocols should consider handovers and minimize their effect on the active connections. A distributed QoS routing scheme based on heuristic ant algorithm is proposed for satisfying delay bound and avoiding link congestion. Simulation results show that the call blocking probabilities of this al- gorithm are less than that of Shortest Path First (SPF) with different delay bound.
基金supported by the National Natural Science Foundation of China(61101107)the Beijing Higher Education Young Elite Teacher Project
文摘In order to establish a route supporting multi-constrained quality of service（QoS）, increase network throughput and reduce network energy consumption, an improved ant colony-based multi-constrained QoS energy-saving routing algorithm（IAMQER） is proposed. The ant colony algorithm, as one of the available heuristic algorithms, is used to find the optimal route from source node to destination node. The proposed IAMQER algorithm, which is based on the analysis of local node information such as node queue length, node forwarding number of data packets and node residual energy, balances the relationship between the network throughput and the energy consumption, thus improving the performance of network in multi-constrained QoS routing. Simulation results show that this IAMQER algorithm can find the QoS route that reduce average energy consumption and improves network packet delivery ratio under the end-to-end delay and packet loss ratio constraints.
文摘低地球轨道(Low Earth Orbit,LEO)卫星系统因能够提供多媒体通信服务而成为卫星通信研究的热点.有效的路由算法设计是LEO卫星网络中的一个关键问题.为了满足多媒体应用的服务质量(Quality of Service,QoS)要求,卫星的路由算法应当考虑切换的影响.文章提出了一种基于启发式蚂蚁算法的分布式的QoS路由策略,可以满足延时限制,同时避免链路拥塞.仿真结果显示在不同的延时限制条件下,相对于最短路径优先算法,该算法具有较低的呼叫阻塞概率.
