Minimum-Latency Beaconing Schedule in duty-cycled multihop wireless networks

Lixin Wang, P. Wan, Kyle Young
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引用次数: 9

Abstract

Beaconing is a primitive communication task in which every node locally broadcasts a packet to all of its neighbors within a fixed distance. The problem Minimum Latency Beaconing Schedule (MLBS) seeks a shortest schedule for beaconing subject to the interference constraint. MLBS has been well studied when all the nodes are always awake. However, it is well-known that the networking nodes often switch between the active state and the sleep state to save energy. A node in duty-cycled scenarios may require transmitting multiple times to inform all of its neighbors due to their different active times. Thus, all of the known algorithms for MLBS are not suitable for duty-cycled multihop wireless networks. In this paper, we study MLBS in Duty-Cycled multihop wireless networks (MLBSDC). We first present two constant-approximation algorithms for MLBSDC under the protocol interference model with the approximation bounds independent of the length of a scheduling period. Then, we develop an efficient algorithm for MLBSDC under the physical interference model. To the best of our knowledge, this is the first paper that develops efficient algorithms for MLBSDC under either of these two interference models.
占空周期多跳无线网络中的最小延迟信标调度
信标是一种原始的通信任务,其中每个节点在本地向固定距离内的所有邻居广播数据包。最小时延信标调度(MLBS)问题寻求在干扰约束下最短的信标调度。当所有节点都处于清醒状态时,MLBS已经得到了很好的研究。然而,众所周知,网络节点经常在活动状态和睡眠状态之间切换以节省能量。在占空比场景中,由于节点的活动时间不同,节点可能需要多次传输才能通知所有邻居。因此,所有已知的MLBS算法都不适用于占空比多跳无线网络。本文主要研究了占空比多跳无线网络(MLBSDC)中的MLBS。首先给出了协议干扰模型下MLBSDC的两种常逼近算法,其逼近界与调度周期长度无关。在此基础上,提出了一种基于物理干涉模型的MLBSDC算法。据我们所知,这是第一篇在这两种干扰模型下为MLBSDC开发高效算法的论文。
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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