Constructing red-black spanners for mixed-charging vehicular networks

IF 0.9 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Sergey Bereg , Yuya Higashikawa , Naoki Katoh , Junichi Teruyama , Yuki Tokuni , Binhai Zhu
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Abstract

Motivated by the recent trend of increasing number of e-cars and hybrid cars, we investigate the problem of building a red-black spanner for a mixed-charging vehicular network. In such a network, we have two kinds of gas/charging stations: electric (black) and the traditional gas (red) stations. Our requirement is that one cannot connect two gas stations directly in the spanner (i.e., no red-red edge), and the goal is to build a linear-size spanner with a bounded stretch factor under this requirement. (In 2-d, it can be shown that a spanner with an optimal stretch factor could have a quadratic size and if one is constrained to build the spanner purely from a given road network then it is impossible to obtain a bounded stretch factor.) Our main results are summarized as follows.
  • 1.
    In 1-d, a linear-size red-black spanner is built to satisfy the ‘no red-red edge’ requirement which achieves the optimal stretch factor.
  • 2.
    In 2-d and under the L2 metric, we build a linear-size red-black spanner satisfying the ‘no red-red edge’ requirement which achieves a stretch factor of 1.998.
  • 3.
    In 2-d and under the L1 metric, a linear-size red-black spanner is built to satisfy the ‘no red-red edge’ requirement which achieves a stretch factor of 3.613.
为混合充电车辆网络构建红黑扳手
最近,电动汽车和混合动力汽车的数量呈上升趋势,受此激励,我们研究了为混合充电车辆网络构建红黑扳手的问题。在这种网络中,我们有两种加油/充电站:电动(黑色)和传统加油(红色)站。我们的要求是不能将两个加油站直接连接在一起(即没有红-红边),目标是在此要求下建立一个线性大小的、伸展系数有界的拼接器。(在二维模型中,可以证明具有最佳伸展系数的扳道器可能具有二次方大小,而如果我们受限于纯粹从给定的道路网络中构建扳道器,那么就不可能获得有界的伸展系数)。我们的主要结果总结如下: 1.在 1-d 条件下,为满足 "无红-红边 "要求,我们构建了线性大小的红-黑扳手,从而获得了最优拉伸系数。3.在二维和 L1 指标下,我们构建了一个线性大小的红黑扳手,以满足 "无红色边缘 "的要求,其拉伸系数达到 1.998。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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