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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >On Distributed Localization for Road Sensor Networks: A Game Theoretic Approach
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On Distributed Localization for Road Sensor Networks: A Game Theoretic Approach

机译:道路传感器网络的分布式本地化:一种博弈论方法

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Road sensor network is an important part of vehicle networks system and is critical for many intelligent automobile scenarios, such as vehicle safety monitoring and transportation efficiency supporting. Localization of sensors is an active and crucial issue to most applications of road sensor network. Generally, given some anchor nodes’ positions and certain pairwise distance measurements, estimating the positions of all nonanchor nodes embodies a nonconvex optimization problem. However, due to the small number of anchor nodes and low sensor node connectivity degree in road sensor networks, the existing localization solutions are ineffective. In order to tackle this problem, a novel distributed localization method based on game theory for road sensor networks is proposed in this paper. Formally, we demonstrate that our proposed localization game is a potential game. Furthermore, we present several techniques to accelerate the convergence to the optimal solution. Simulation results demonstrate the effectiveness of our proposed algorithm.
机译:道路传感器网络是车辆网络系统的重要组成部分,对于许多智能汽车场景(例如车辆安全监控和交通效率支持)至关重要。对于道路传感器网络的大多数应用,传感器的本地化是一个积极而关键的问题。通常,给定一些锚节点的位置和某些成对的距离测量值,估计所有非锚节点的位置都体现了一个非凸优化问题。但是,由于道路传感器网络中的锚节点数量少,传感器节点的连通度低,因此现有的定位方案无效。为了解决这个问题,本文提出了一种基于博弈论的道路传感器网络分布式定位新方法。正式地,我们证明了我们提出的本地化游戏是一种潜在的游戏。此外,我们提出了几种技术来加速收敛到最佳解决方案。仿真结果证明了该算法的有效性。

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