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摘要翻译：
无线传感器网络节能的一个有效方法是调度外部节点的睡眠间隔，而剩余节点保持活动状态，以提供持续的服务。为了使传感器网络成功运行，主动节点必须同时保持感知覆盖和网络连通性，以前的研究证明，如果节点的通信范围至少是感知范围的两倍，凸区域的完全覆盖意味着节点工作集之间的连通性。本文考虑一个矩形区域a=a*b，使得R a R b s s{磅},{磅}，其中s R是节点的感知范围。并对节点间的最小允许距离进行约束。根据这一约束，我们提出了一个新的通信范围相对于传感器感知范围的下界(S2+3*R)，即考虑区域的完全覆盖意味着节点工作集之间的连通性；同时提出了一种新的满足约束的分配方法。
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英文标题：
《A New Sufficient Condition for 1-Coverage to Imply Connectivity》
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作者：
Seyed Hossein Khasteh, Saeid Bagheri Shouraki, and Ali Akbar Kiaei
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最新提交年份：
2010
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
An effective approach for energy conservation in wireless sensor networks is scheduling sleep intervals for extraneous nodes while the remaining nodes stay active to provide continuous service. For the sensor network to operate successfully the active nodes must maintain both sensing coverage and network connectivity, It proved before if the communication range of nodes is at least twice the sensing range, complete coverage of a convex area implies connectivity among the working set of nodes. In this paper we consider a rectangular region A = a *b, such that R a R b s s {\pounds}, {\pounds}, where s R is the sensing range of nodes. and put a constraint on minimum allowed distance between nodes(s). according to this constraint we present a new lower bound for communication range relative to sensing range of sensors(s 2 + 3 *R) that complete coverage of considered area implies connectivity among the working set of nodes; also we present a new distribution method, that satisfy our constraint.
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PDF链接：
https://arxiv.org/pdf/1011.1662
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