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ON Coverage and Capacity for Disaster Area Wireless Networks Using Mobile Relays

机译:使用移动中继的灾区无线网络的覆盖范围和容量

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Public safety organizations increasingly rely on wireless technology to provide effective communications during emergency and disaster response operations. This paper presents a comprehensive study on dynamic placement of relay nodes (RNs) in a disaster area wireless network. It is based on our prior work of mobility model that characterizes the spatial movement of the first responders as mobile nodes (MNs) during their operations. We first investigate the COverage-oriented Relay Placement (CORP) problem that is to maximize the total number of MNs connected with the relays. Considering the network throughput, we then study the CApacity-oriented Relay Placement (CARP) problem that is to maximize the aggregated data rate of all MNs. For both coverage and capacity studies, we provide each the optimal and the greedy algorithms with computational complexity analysis. Furthermore, simulation results are presented to compare the performance between the greedy and the optimal solutions for the CORP and CARP problems, respectively. It is shown that the greedy algorithms can achieve near optimal performance but at significantly lower computational complexity.
机译:公共安全组织越来越依赖无线技术在紧急情况和灾难响应操作期间提供有效的通信。本文对灾区无线网络中中继节点(RN)的动态放置进行了全面的研究。它基于我们先前的移动性模型工作,该模型将第一响应者在其操作过程中的空间移动表征为移动节点(MN)。我们首先研究面向Coverage的中继放置(CORP)问题,该问题是使与中继连接的MN总数最大化。考虑网络吞吐量,我们然后研究面向容量的中继放置(CARP)问题,该问题将最大化所有MN的聚合数据速率。对于覆盖率和容量研究,我们为每个最优算法和贪婪算法提供计算复杂性分析。此外,给出了仿真结果以分别比较贪婪和最优解决方案对CORP和CARP问题的性能。结果表明,贪婪算法可以达到接近最佳的性能,但计算复杂度却大大降低。

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