The network is divided into multi-level fisheye scope to reduce routing update information.
网络被分为不同的鱼眼层次以减少路由更新信息。
This paper proposed an improved routing update algorithm - a dynamically self-adaptive routing update algorithm based on clustering mechanism.
提出了一种改进的路由更新算法—基于分簇机制的动态自适应路由更新算法。
Then, update the application's routing table and set up a catch-all route for the new XML output type (Listing 12).
然后，更新这个应用程序的路由表并为新的XML输出类型建立一个“全部捕获”路由(见清单12)。
Also update the application's routing table to add a new route for this Action, as in Listing 1.
并且更新应用程序的路由表，为这个Action添加一个新的路由，如清单1所示。
The final step is to update the application's routing table with additional routes for the login and logout actions. Listing 11 displays the updated routes
最后一个步骤是更新应用程序的路由表，为登录和注销操作添加更多路由。
But first, update the web.xml file to include the RestServlet from Apache Wink that is responsible for routing the requests to the correct resources.
但首先，更新web . xml文件并从ApacheWink将RestServlet包含进来，它负责将请求路由到正确的资源。
Optional dynamic update to routing tables and other configuration.
可选的对路由表及其他配置信息的动态更新。
In the complex networks, routes are discovered by a periodic update between 1 - hop neighbors or by using a reactive routing protocol.
复杂网络中，通过1-跳邻点的周期性更新或使用反应式路由协议来发现路由。
The precomputation is able to create and update the routing tables in each node.
预计算主要是能创建和更新每个节点上的路由表。
The edge update of minimum spanning forest is very important in network routing and many other areas.
最小生成森林的边更新在网络路由等方面有着重要的应用价值。
Draw up and update equipments safety operation regulation, routing inspection instruction, etc.
制定和更新设备安全操作规程，巡检指导书等。
In this paper, we present a cross-layer load-aware based ant colony optimization routing protocol with bi-directional and hop-by-hop pheromone update for ad hoc networks(CLABHPU).
本文将跨层优化和蚂蚁优化方法结合起来解决自组网中的负载均衡问题，提出了一种基于跨层负载感知和双向逐跳更新信息素的蚂蚁优化路由协议（CLABHPU）。
In this paper, we present a cross-layer load-aware based ant colony optimization routing protocol with bi-directional and hop-by-hop pheromone update for ad hoc networks(CLABHPU).
本文将跨层优化和蚂蚁优化方法结合起来解决自组网中的负载均衡问题，提出了一种基于跨层负载感知和双向逐跳更新信息素的蚂蚁优化路由协议（CLABHPU）。
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