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A distributed deployment algorithm for communication coverage in wireless robotic networks

机译:一种用于无线机器人网络通信覆盖的分布式部署算法

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摘要

Wireless Robotic Networks (WRNs), composed of numerous mobile robotic agents with the ability of moving, computing, sensing, and communicating, are able to provide wireless communication services and thus implement complicated tasks for user equipments. In order to guarantee the performance of coverage rate and ensure providing the services timely and effectively, mobile robotics in WRNs are usually deployed flexibly and quickly. However, coverage overlaps and energy redundancy may be generated by excessive deployed agents. In order to provide maximum coverage area with a minimum number of agents, we study the 3-dimensional coverage deployment problem in WRNs and propose a distributed deployment algorithm. Firstly, we give the scenario model, communication model, and coverage model to define the 3-dimensional coverage problem. Secondly, we propose a distributed coverage deployment algorithm that can set redundant agents to idle mode iteratively. Herein, we decouple the coverage deployment problem in the altitude and horizontal dimensions without any loss of optimality. On the one hand, this algorithm can find the optimal altitude for agents mathematically. On the other hand, this algorithm contains a local deployment algorithm based on Particle Swarm Optimization (PSO) which is used for a particular active agent to find a better position with a larger local coverage area. In particular, the local coverage area is obtained depending on the Voronoi Diagram (VD). Our proposed algorithm is distributed which only requires local information. Finally, performance evaluation are given in three aspects, which demonstrate the effectiveness of the proposed distributed deployment algorithm.
机译:无线机器人网络(WRNS)由具有移动,计算,传感和通信能力的多种移动机器人代理,能够提供无线通信服务,从而为用户设备实现复杂的任务。为了保证覆盖率的表现,并确保及时有效地提供服务,WRN中的移动机器人通常灵活快速地部署。然而,可以通过过度部署的代理产生覆盖重叠和能量冗余。为了提供具有最小代理的最大覆盖区域,我们研究WRN中的三维覆盖部署问题并提出了分布式部署算法。首先,我们提供场景模型,通信模型和覆盖模型来定义三维覆盖问题。其次,我们提出了一种分布式覆盖部署算法,可以将冗余代理设置为迭代模式。这里,我们将覆盖部署问题与水平尺寸的覆盖部署问题分离而不会损失最优性。一方面,该算法可以在数学上找到最佳的Agents。另一方面,该算法包含基于粒子群优化(PSO)的本地部署算法,该算法用于特定的活动代理,以找到具有更大的本地覆盖区域的更好位置。特别地,根据voronoi图(Vd)获得本地覆盖区域。我们提出的算法分布只需要本地信息。最后,在三个方面给出了性能评估,这证明了所提出的分布式部署算法的有效性。

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