Routing Algorithm in Networks on the Globe

S. Bose
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Abstract

Packet switching of data in networks is done by either the distance-vector or the link-state routing protocols. These protocols use the Bellman-Ford and the Dijkstra's algorithms respectively for the least cost path from a source base station to a destination station. For inter-network transmission, the path-vector routing protocol is in use. With progress of time, the network topologies are becoming huge in size, requiring large demand on book keeping of routing tables and transmission of the data packets dynamically to several other stations of the net-work by broadcast, increasing the load on the network. Here, assuming the router stations to be terrestrially located with links along the ground, a large network is assumed to lie on a spherical surface, and so the shortest geodesic path from source to destination becomes a great circular arc. For fast transmission, the cost of a link to a node is multicast to its neighboring nodes only for selection of the path lying as close as possible to the geodesic line between the source and the destination. As the arrival and dispatch of data packets at a nodal station occurs randomly, the cost of a link is estimated in this paper by the waiting time of a queueing process. This process at a router station is thus modeled by the Markovian M/M/c model, where c is the number of servers at the router station. If other commercial fixed charge is involved for the use of a link, then that can be included in the total cost of a link. Finally, a method of search of a mobile destination is also presented using sphericity of the network. Algorithms for the near geodesic path, costs of links as waiting times and destination search in mobile environment are clearly presented.
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全球网络中的路由算法
网络中数据的分组交换由距离矢量或链路状态路由协议完成。这些协议分别使用Bellman-Ford和Dijkstra算法来寻找从源基站到目的基站的最低成本路径。对于网络间传输,使用路径矢量路由协议。随着时间的推移,网络拓扑结构变得越来越庞大,需要大量的路由表的记账,并且需要通过广播的方式将数据包动态地传输到网络的其他几个站点,从而增加了网络的负载。在这里,假设路由器站位于陆地上,链路沿着地面,假设一个大的网络位于球面上,因此从源到目的的最短测地线路径成为一个大圆弧。为了实现快速传输,只要选择尽可能靠近源和目的之间的测地线的路径,到一个节点的链路的代价就是多播到它的相邻节点。由于节点站的数据包到达和分发是随机发生的,因此本文通过排队过程的等待时间来估计链路的成本。因此,路由器站的这个过程用马尔可夫M/M/c模型来建模,其中c是路由器站的服务器数量。如果其他商业固定费用涉及使用一个链接,那么可以包括在一个链接的总成本。最后,提出了一种利用网络球度的移动目的地搜索方法。给出了移动环境下的近测地线路径算法、链路等待时间代价算法和目的地搜索算法。
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