...
首页> 外文期刊>Discrete Applied Mathematics >Optimizing movement in convex and non-convex path-networks to establish connectivity
【24h】

Optimizing movement in convex and non-convex path-networks to establish connectivity

机译:优化凸面和非凸路径中的运动,建立连接

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

We solve a movement problem in which there are n sensors in path network in plane, where any sensor communicates only with its two immediate neighbors and only at a given maximum communication distance A. Initially, some of the inter-sensor distances may be more than A. We need to move sensors so that each sensor is in the communication range of its two neighbors, keeping the path topology intact. The problem is to minimize the maximum movement of any sensor. We present an O(n(3))-time algorithm to compute the new positions of sensors to establish transmission connectivity, called A-connectivity in the paper, in a convex path-network which minimizes the maximum movement among the sensors. We also generalize our algorithm for ring, non-convex path, tethered and heterogeneous networks. (C) 2019 Elsevier B.V. All rights reserved.
机译:我们解决了一个运动问题,其中路径网络中存在n个传感器,其中任何传感器仅与其两个立即邻居通信,并且仅在给定的最大通信距离A.最初,一些间距间距距离可能大于 答:我们需要移动传感器,使每个传感器处于两个邻居的通信范围,保持路径拓扑完整。 问题是最小化任何传感器的最大运动。 我们介绍了一个(n(3)) - 时间算法来计算传感器的新位置,以建立凸面的传输连接,称为纸张中的一个连接,在凸路径中最小化传感器之间的最大运动。 我们还概括了我们的环,非凸路,系列和异构网络算法。 (c)2019年Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号