The Shortest Path Analysis Based on Road Network

Rational planning of agricultural product transport route from initial node to destination node can effectively reduce the cost price of agricultural products,and the calculation of shortest path between any two points also affects people’s daily travel.Taking Heze Railway Station to Heze College for example,with remote sensing image data as the base map,we conduct vectorization and topological analysis on roads in the target area.With Dijkstra as theoretical basis of shortest path algorithm,we use ArcG IS network analysis method to build road network,and calculate the planning program of the shortest distance path,the shortest path by driving and the shortest path by walking.

Distribution network planning based on shortest path

In order to form an algorithm for distribution network routing,an automatic routing method of distribution network planning was proposed based on the shortest path.The problem of automatic routing was divided into two steps in the method:the first step was that the shortest paths along streets between substation and load points were found by the basic ant colony algorithm to form a preliminary radial distribution network,and the second step was that the result of the shortest path was used to initialize pheromone concentration and pheromone updating rules to generate globally optimal distribution network.Cases studies show that the proposed method is effective and can meet the planning requirements.It is verified that the proposed method has better solution and utility than planning method based on the ant colony algorithm.

Efficient Routing Protection Algorithm Based on Optimized Network Topology

Network failures are unavoidable and occur frequently.When the network fails,intra-domain routing protocols deploying on the Internet need to undergo a long convergence process.During this period,a large number of messages are discarded,which results in a decline in the user experience and severely affects the quality of service of Internet Service Providers(ISP).Therefore,improving the availability of intra-domain routing is a trending research question to be solved.Industry usually employs routing protection algorithms to improve intra-domain routing availability.However,existing routing protection schemes compute as many backup paths as possible to reduce message loss due to network failures,which increases the cost of the network and impedes the methods deployed in practice.To address the issues,this study proposes an efficient routing protection algorithm based on optimized network topology(ERPBONT).ERPBONT adopts the optimized network topology to calculate a backup path with the minimum path coincidence degree with the shortest path for all source purposes.Firstly,the backup path with the minimum path coincidence with the shortest path is described as an integer programming problem.Then the simulated annealing algorithm ERPBONT is used to find the optimal solution.Finally,the algorithm is tested on the simulated topology and the real topology.The experimental results show that ERPBONT effectively reduces the path coincidence between the shortest path and the backup path,and significantly improves the routing availability.

A routing algorithm for industrial wireless network based on ISA100.11a

ISA100.11 a industrial wireless network standard is based on a deterministic scheduling mechanism.For the timeslot delay caused by deterministic scheduling,a routing algorithm is presented for industrial environments.According to timeslot,superframe,links,channel and data retransmission of deterministic scheduling mechanisms that affect the design of the routing algorithm,the algorithm selects the link quality,timeslot delay and retransmission delay as the routing criteria and finds the optimum communication path by k shortest paths algorithm.Theoretical analysis and experimental verification show that the optimal paths selected by the algorithm not only have high link quality and low retransmission delay,but also meet the requirements of the deterministic scheduling.The algorithm can effectively solve the problem of packet loss and transmission delay during data transmission,and provide a valuable solution for efficient data transmission based on determinacy.

A Disk Scheduling Algorithm:SPFF

We put forward an optimal disk schedule with n disk requests and prove its optimality mathematically.Generalizing the idea of an optimal disk schedule, we remove the limit of n requests and, at the same time, consider the dynamically arrival model of disk requests to obtain an algorithm, shortest path first-fit first （SPFF）. This algorithm is based on the shortest path of disk head motion constructed by all the pendent requests. From view of the head moving distance, it has the stronger glohality than SSTF. From view of the head-moving direction, it has the better flexibility than SCAN. Therefore, SPFF keeps the advantage of SCAN and, at the same time, absorbs the strength of SSTF. The algorithm SPFF not only shows the more superiority than other scheduling polices, but also have higher adjustability to meet the computer system＇s different demands.

Small World Properties Generated by a New Algorithm Under Same Degree of All Nodes

基于我们以前建议了的所有节点的一样的度的模型，一个新算法，“在整个顶点的所谓的传播(SAV ) ”算法，从一枚常规戒指为 generatingsmall 世界性质被建议格子。在随机给连接换新电线期间， SAV 被用来保留连接的未改变的数字。把 SAV 算法与在整个边界的 Watts-Strogatzmodel 和“传播”作比较算法，三个方法能有小世界网络的一样的拓扑的性质。这些结果提供小世界网络的多样的形成。它对为在与网络联系的节点和交往的自动机内的相互的振荡器的动力学的一些应用的研究有用。

A~*算法在Shortest-Path方面的优化研究

在游戏和地理信息系统开发等领域中,专门针对最短路径搜索方面的优化研究较多,尤其是最短路径中启发式搜索算法中的A*算法的效率优化研究.本文将针对在人工智能或算法研究中的使用的地图大多数是基于任意图而不是网格图的状况,通过任意图与网格图及方向的相结合,提出了三种优化A*算法的启发式函数搜索策略,较好地减小了算法搜索的范围和规模,有效地提高了A*算法的运行效率.最后的实验结果显示,与传统的A*算法相比较,优化启发搜索策略后的A*算法寻径更快速,更准确,计算效率更高.

Efficient Parallel Algorithms for Some Graph Theory Problems

In this paper,a sequential algorithm computing the all vertex pair distance matrix D and the path matrix Pis given.On a PRAM EREW model with p,1≤p≤n^2,processors,a parallel version of the sequential algorithm is shown.This method can also be used to get a parallel algorithm to compute transitive closure arrayof an undirected graph.The time complexify of the parallel algorithm is O(n^3/p).If D,P andare known,it is shown that the problems to find all connected components, to compute the diameter of an undirected graph,to determine the center of a directed graph and to search for a directed cycle with the minimum(maximum)length in a directed graph can all be solved in O(n^2/p^+ logp)time.

ON THE FAULT-TOLERANT ROUTING IN DISTRIBUTED LOOP NETWORKS

Based on their "Theorem 2", an O(δ)-time algorithm of searching for the shortest path between each pair of nodes in a double loop network was proposed by K.Mukhopadyaya, et al.(1995). While, unfortunately, it will be proved that both "Theorem 2" and its proof are in error. A new and more faster O(△)-time, △≤δ, algorithm will be presented in this paper.

Resource Allocation Using SPA Based on Different Cost Functions in Elastic Optical Networks

Routing, modulation and spectrum allocation in elastic optical networks is a problem aiming at increasing the capacity of the network. Many algorithms such as shortest path algorithm can be used as the routing section of this problem. The efficiency of these algorithms is partly based on how the cost of each link is defined. In this study, we considered several basic metrics in cost of network links and compared their effects on the network capacity. In particular, the static costs and the dynamic costs were evaluated and compared. For dynamic scenarios, compared to static scenarios, at least one additional factor, the usage of the links, was added. We further considered a new factor that is based on probability of accommodating the signal at a given time in any given link. The results show that, among them, the shortest path algorithm provides the least blocking probability when the cost is a combination of link length and the abovementioned possibility/usage of the link.

Aware Diffusion: A Semi-Holistic Routing Protocol for Wireless Sensor Networks

Routing is a challenging task in Wireless Sensor Networks (WSNs) due to the limitation in energy and hardware capabilities in WSN nodes. This challenge prompted researchers to develop routing protocols that satisfy WSNs needs. The main design objectives are reliable delivery, low energy consumption, and prolonging network lifetime. In WSNs, routing is based on local information among neighboring nodes. Routing decisions are made locally;each node will select the next hop without any clue about the other nodes on the path. Although a full knowledge about the network yields better routing, that is not feasible in WSNs due to memory limitation and to the high traffic needed to collect the needed data about all the nodes in the network. As an effort to try to overcome this disadvantage, we are proposing in this paper aware diffusion routing protocol. Aware diffusion follows a semi-holistic approach by collecting data about the available paths and uses these data to enforce healthier paths using machine learning. The data gathering is done by adding a new stage called data collection stage. In this stage, the protocol designer can determine which parameters to collect then use these parameters in enforcing the best path according to certain criteria. In our implementation of this paradigm, we are collecting total energy on the path, lowest energy level on the path, and hop count. Again, the data collected is designer and application specific. The collected data will be used to compare available paths using non-incremental learning, and the outcome will be preferring paths that meet the designer criteria. In our case, healthier and shorter paths are preferred, which will result in less power consumption, higher delivery rate, and longer network life since healthier and fewer nodes will be doing the work.

基于软件定义网络的高故障保护率的路由保护方案

软件定义网络(Software Defined Network,SDN)以其强大的可编程性和集中控制的优势得到了学术界的广泛关注。现有的SDN设备在执行报文转发时仍然使用最短路径协议,当最短路径中的结点发生故障时,网络仍然需要重新收敛,在此期间报文可能会被丢弃,进而无法传递至目的结点,给实时性应用的流畅性造成了冲击,影响用户体验。学术界普遍采用路由保护的方案来应对网络故障,现有的路由保护方案存在以下两个方面的问题:(1)故障保护率低;(2)当网络出现故障时,备份路径可能会出现路由环路。为了解决上述两个问题,首先提出了备份下一跳计算规则;然后基于此规则设计了一种软件定义网络下的高故障保护率的路由保护算法(Routing Protection Algorithm with High Failure Protection Ratio,RPAHFPR),该算法融合了路径生成算法(Path Generation Algorithm,PGA)、旁支优先算法(Side Branch First Algorithm,SBF)和环路规避算法(Loop Avoidance Algorithm,LAA),可以同时解决已有路由保护方法面临的故障保护率低和路由环路问题;最后在大量的真实网络拓扑和模拟网络拓扑中验证了RPAHFPR方案的性能。与经典的NPC和U-TURN相比,RPAHFPR的故障保护率分别提高了20.85%和11.88%,并且在86.3%的拓扑中可以达到100%的故障保护率,在所有拓扑中可以达到99%以上的故障保护率。RPAHFPR的路径拉伸度基本接近1,不会引入过多的时间延迟。

基于软件定义网络的多约束QoS双路径路由优化方法

针对当前SDN架构存在路由算法复杂度高、QoS流满意度低和单链路故障等问题,提出了一种基于软件定义网络的多约束QoS双路径路由优化算法(SDN_MCQDP)。利用控制器获得全局网络状态信息,生成基于目的节点的有向无环图。在多约束QoS路由选择阶段,通过拉格朗日松弛对偶算法将多约束问题转化为线性规划问题。使用反向链路删减得到满足多约束QoS的节点不相交的双路径冗余链路,使链路故障后的数据传输得到保障。从路由计算时间、链路利用率、QoS流满意度等方面对算法进行仿真实验。结果表明,与MODLARAC、QT、RMCDP_RD、H_MCOP算法比较,SDN_MCQDP能够有效降低传输时延,减少路由计算时间,提高链路利用率,且在链路发生故障后仍能满足QoS需求。

基于空间最短距离算法的三相不平衡人工翻仓治理策略

随着社会的发展,人们对电能质量的要求越来越高,而配变台区三相负荷不平衡会对配电网的供电安全性、供电质量和经济运行产生不良影响,是低压电网运行的薄弱环节。通过将空间最短距离算法应用于三相不平衡治理策略研究中,完成了同站配变三相不平衡人工翻仓治理,为配电网三相不平衡科学治理提供了新的可行方案。

基于城市道路网的最短路径分析解决方案

近年来 GIS对网络分析功能的需求迅速增长 .网络分析中的一个关键问题是最短路径问题 ,它作为许多领域中选择最优问题的基础 ,在交通网络分析系统中占有重要地位 .由于最短路径分析常用于汽车导航系统以及各种城市应急系统 (如 110报警、119火警以及 12 0急救系统 ) ,本文针对城市道路网的特点 ,提出了一种实用。

动态网络最短路径射线追踪

最短路径射线追踪算法 ,用预先设置的网络节点的连线表示地震波传播路径 ,当网络节点稀疏时 ,获得的射线路径呈之字形 ,计算的走时比实际走时系统偏大 .本文在波前扩展和反向确定射线路径的过程中 ,在每个矩形单元内 ,通过对某边界上的已知走时节点的走时进行线性插值 ,并利用Fermat原理即时求出从该边界到达其他边界节点的最小走时及其子震源位置和射线路径 ,发展了相应的动态网络算法 .从而克服了最短路径射线追踪算法的缺陷 ,大大提高了最小走时和射线路径的计算精度 .

适合复杂网络分析的最短路径近似算法

基于互联网抽取的社会网络往往具有较大的规模,这对社会网络分析算法的性能提出了更高的要求.许多网络性质的度量都依赖于最短路径信息,社会网络等现实网络往往表现出"无标度"等复杂网络特征,这些特征指示了现实网络中最短路径的分布规律.基于现实网络的拓扑特征,提出了一种适合于复杂网络的最短路径近似算法,利用通过局部中心节点的一条路径近似最短路径,该算法能够方便地用于需要最短路径信息的社会网络性质的估算,为复杂网络的近似分析提供了一种新的思路.在各种生成网络与现实网络上的实验结果表明,该算法在复杂网络上能够大幅降低计算复杂性并保持较高的近似准确性.

图的节点-弧段联合结构表示法及其在GIS最优路径选取中的应用

最短路径分析是ＧＩＳ网络分析的一个基本问题，获取最短路径的经典算法主要有迪杰斯特拉（Ｄｉｊｋｓｔｒａ）及弗罗伊德（Ｆｌｏｙｄ）算法，这两种方法的实现都主要借助于图的节点邻接矩阵来表示图并通过适当的搜索技术完成。本文从节约存储空间、提高运算速度出发，采用节点－弧段联合结构来表示图，避开采用大规模数组，并利用深度优先搜索算法，实现最短路径的自动判断与提取，并给出算法的实现方法。

物理节点可重复映射的虚拟网映射算法

该文在已有的映射算法基础上,结合K短路径的思想,改进了链路映射过程。算法通过多次搜索K短路径,寻找满足虚链路带宽需求的物理路径,有效地提高了虚链路的映射率。同时,根据虚拟网映射特性,针对节点映射过程,提出了物理节点可重复映射的映射算法,即在同一虚拟网映射过程中,物理节点可接受多个虚节点的映射。算法不仅减少了部分虚链路的映射过程,降低了映射的复杂度,而且节约了链路映射的成本,使物理网可以接收更多的虚拟网请求,有效地提高了映射效率。模拟实验表明,算法在执行时间、映射成功率以及映射收益等指标上都有着明显优势。