在无线传感器网络的各种应用问题中，节点的位置信息是很重要的。
In various applications of wireless sensor networks issues, the node location information is very important.
如何准确地获得未知移动节点的位置信息是普适计算环境下定位服务要解决的关键问题。
How to obtain location information of an unknown node precisely is a key problem of locating service under ubiquitous computing environment.
通过目的节点的位置信息，L -ZRP能够确定一个包转发域，以此来限制包转发的范围。
Through the location information of the destination node, L-ZRP could determine the packet forwarding domain so that it could limit the scope of the packet forwarding.
基于位置路由算法的基本思想是基于节点的位置信息来选择下一跳，将包向目的节点的方向上进行转发。
The basic idea of position based routing algorithm is to select the next hop based on the position information of nodes, and forward the packets to the direction of destination.
在分析的基础上，找出了这些算法的不足之处在于利用了节点的位置信息，并同时给出了本文算法的基本思想。
By analysis, the deficiency of the algorithm was found which lies on using the location information of the node, then the main idea of the algorithm was given.
传感器节点采集到的数据必须结合其位置信息才有意义，没有位置信息的数据几乎没有利用价值。
Raw sensor data must be combined with spatial information and the value of the raw data increases substantially. Raw data without its position information has less capability.
本文提出的方法在目的端利用获得的中间节点位置信息来生成无向图，再利用广度优先遍历算法BFS计算出另外一条不相交路径。
This method USES intermediate nodes' location information to create undirected graph at destination node, and USES Breath-First Search (BFS) algorithm to find another disjoint path.
修正的区域路由算法利用节点位置信息，使得区域内的邻节点更新过程可以获得更有效的触发，从而减少了大量的不必要的广播报文开销。
Modified ZRP (MZRP) effectively triggers the neighbor nodes' update process of IARP, in use of position information, accordingly the broadcast overhead has been decreased much.
将路网节点间的相对位置信息引入信息素更新，以加快搜索速度；使用混沌扰动改进选择策略，以避免出现早熟停滞现象。
Relative location information among nodes in road network is introduced in pheromone updating for higher searching speed, and chaos perturbation is used to improve sel.
传感器节点采集到的数据必须结合其位置信息才有意义，没有位置信息的数据几乎没有利用价值。
Raw sensor data must be combined with spatial information and the value of the raw data increases substantially.
在无线传感器网络中，节点位置信息对于监测活动至关重要，是传感器网络应用的前提。
In wireless sensor networks, the position of the sensors is very important for monitored objects, so determining the positions of sensors is a key problem in many applications.
在无线传感器网络中，节点位置信息对于监测活动至关重要，是传感器网络应用的前提。
In wireless sensor networks, the position of the sensors is very important for monitored objects, so determining the positions of sensors is a key problem in many applications.
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