Potential Game for Energy-Efficient RSS-Based Positioning in Wireless Sensor Networks
Potential Game for Energy-Efficient RSS-Based Positioning in Wireless Sensor Networks
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DOI：
10.1109/jsac.2015.2430172
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发表时间：
2015-05
影响因子：
16.4
通讯作者：
A. Moragrega;P. Closas;C. Ibars
中科院分区：
文献类型：
--
作者：
A. Moragrega;P. Closas;C. Ibars
定位是无线传感器网络中许多应用的关键。为了设计实用的定位算法，采用有效的算法，最大限度地提高电池寿命，同时实现高精度是至关重要的。参与的锚节点的数量和它们的发射功率对定位节点的能量消耗有重要影响。提出了一种基于博弈论的无线传感器网络位置信息获取资源优化算法。所提出的方法提供使用RSS测量的节点的定位和跟踪。我们使用几何精度稀释作为我们的算法的优化指标，目的是最小化的数量和功率的锚节点，合作定位，从而节省能源。该算法被证明是一个潜在的游戏，因此收敛性得到保证。一个分布式的低复杂度的实现方案。该博弈被应用于无线传感器网络，结果显示了节能和定位误差之间的权衡。
Positioning is a key aspect for many applications in wireless sensor networks. In order to design practical positioning algorithms, employment of efficient algorithms that maximize the battery lifetime while achieving a high degree of accuracy is crucial. The number of participating anchor nodes and their transmit power have an important impact on the energy consumption of positoning a node. This paper proposes a game theoretical algorithm to optimize resource usage in obtaining location information in a wireless sensor network. The proposed method provides positioning and tracking of nodes using RSS measurements. We use the Geometric Dilution of Precision as an optimization metric for our algorithm, with the aim of minimizing the number and power of anchor nodes that collaborate in positioning, thus saving energy. The algorithm is shown to be a potential game, therefore convergence is guaranteed. A distributed low complexity solution for the implementation is presented. The game is applied to WSN and results show the trade-off between power saving and positioning error.