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Obstacles constrained group mobility models in event-driven wireless networks with movable base stations

机译:具有可移动基站的事件驱动无线网络中的障碍物限制了群体移动性模型

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In this paper, we propose a protocol for dynamic reconfiguration of ad-hoc wireless networks with movable base stations in presence of obstacles. Hosts are assigned to base stations according to a probabilistic throughput function based on both the quality of the signal and the base station load. In order to optimize space coverage, base stations cluster hosts using a distributed clustering algorithm. Obstacles may interfere with transmission and obstruct base stations and hosts movement. To overcome this problem, we perform base stations repositioning making use of a motion planning algorithm on the visibility graph based on an extension of the bottleneck matching technique. We implemented the protocol on top of the NS2 simulator as an extension of the AODV. We tested it using both Random Way Point and Reference Point Group mobility models properly adapted to deal with obstacles. Experimental analysis shows that the protocol ensures the total space coverage together with a good throughput on the realistic model (Reference Point Group) outperforming both the standard AODV and DSR.
机译:在本文中,我们提出了一种在存在障碍物的情况下对具有可移动基站的自组织无线网络进行动态重新配置的协议。根据信号质量和基站负载,根据概率吞吐量函数将主机分配给基站。为了优化空间覆盖范围,基站使用分布式群集算法对主机进行群集。障碍物可能会干扰传输并阻碍基站和主机的移动。为了克服这个问题,我们基于瓶颈匹配技术的扩展,在可见性图上利用运动规划算法对基站进行重新定位。我们在NS2仿真器之上实现了该协议,作为AODV的扩展。我们使用经过适当调整以应对障碍的随机路径点和参考点组移动性模型进行了测试。实验分析表明,该协议确保了实际模型(参考点组)的总空间覆盖范围以及良好的吞吐量,优于标准的AODV和DSR。

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