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Label Coloring Based Beaconing Schedule in Duty-Cycled Multihop Wireless Networks

机译:基于循环多跳无线网络的基于彩色标记的标签

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摘要

Beaconing is a fundamental networking service where each node broadcasts a packet to all its neighbors locally. Unfortunately, the problem Minimum Latency Beaconing Schedule (MLBS) in duty-cycled scenarios is not well studied. Existing works always have rigid assumption that each node is only active once per working cycle. Aiming at making the work more practical and general, MLBS problem in duty-cycled network where each node is allowed to active multiple times in each working cycle (MLBSDCA for short) is investigated in this paper. First, a novel kind of coloring problem, named as label coloring problem, is identified and analyzed. Second, an edge-based scheduling framework is designed and the MLBSDCA under protocol interference model is transformed to such coloring problem. Based on label coloring, a group first-fit scheduling algorithm is designed for MLBSDCA under protocol interference model. After that, a $(ho +1)^2*|mathcal {W}|$(ρ+1)2*|W|-approximation algorithm is proposed to further reduce the beaconing latency, where $ho$ρ denotes the interference radius, and $|mathcal {W}|$|W| is the maximum number of active time slots per working cycle. When $ho$ρ and $|mathcal {W}|$|W| is equal to 1, the approximation ratio is only 4, which is better than the one (i.e., 10) in existing works. Furthermore, two approximation algorithms for MLBSDCA under physical interference model are also investigated. The theoretical analysis and experimental results demonstrate the efficiency of the proposed algorithms in term of latency.
机译:信标是一个基本的网络服务,每个节点在本地广播到所有邻居的数据包。不幸的是,在核心方案中的最小问题最小延迟信标日程(MLB)也没有很好地研究。现有工作始终具有刚性假设,即每个节点仅在每个工作周期中激活一次。旨在使工作更实用和一般,在本文中研究了每个节点在每个工作循环中允许每个节点在每个工作周期中多次激活的MLB问题,在本文中研究了每次工作周期(MLBSDCA)。首先,鉴定并分析了一种名为标签着色问题的新颖的着色问题。其次,设计了基于边缘的调度框架,并且在协议干扰模型下的MLBSDCA被转换为这种着色问题。基于标签着色,在协议干扰模型下为MLBSDCA设计了一种组第一配合调度算法。之后,一个<内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $( rho +1)^ 2 * | mathcal {w} | $ <替代品> ρ + 1 2 * | w | - 建议估计算法以进一步减少信标延迟,在哪里<内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ Rho $ <替代品> ρ <内联图xlink:href =“ Li-Ieq2-2907956.gif“/> 表示干扰半径,和<内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ | mathcal {w} | $ <替代方案> | w | 是每个工作周期的最大活动时隙数。什么时候<内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ Rho $ <替代品> ρ <内联图xlink:href =“ LI-IEQ4-2907956.GIF“/> 和<内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ | mathcal {w} | $ <替代方案> | w | 等于1,近似比仅为4,这比现有工作中的一个(即10)更好。此外,还研究了物理干扰模型下MLBSDCA的两个近似算法。理论分析和实验结果表明了延迟期间所提出的算法的效率。

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