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Improved APIT localization algorithm in wireless sensor networks

机译:无线传感器网络中改进的APIT定位算法

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Localization is an active area of research in the field of wireless sensor networks. The best solution is provided with the help of range based localization. However, the setup cost is very high for such a system. Range free localization provides an inbudget solution but at the same time, it compromises with the accuracy and increases the localization error. This paper intends to present a cost effective yet more accurate localization solution scheme. This scheme is a range free localization with a blend of APIT, RSSI and PSO algorithm. The algorithm selects and weights the RSSI measurements of the neighboring nodes from the beacon node during beacon exchange to measure the distance based upon the strength. Further, we use PSO along with a cost function to reduce the cost of the co-ordinates by continuous iterations using position and velocity vectors of the neighboring nodes by finding the co-ordinates with the global and local least cost. Finally, we use APIT to calculate the co-ordinates of the unknown or the desired node with the help of the beacon nodes and the neighboring nodes as calculated using PSO. Since the localization is range free, hardware setup cost is minimum and the simulation results shows that the location error is dropped sharply as compared to APIT and combination of APIT with RSSI. As a result, it leads to better accuracy with low cost.
机译:本地化是无线传感器网络领域研究的活跃领域。基于范围的本地化可提供最佳解决方案。但是,这种系统的设置成本非常高。无范围定位提供了一个预算内的解决方案,但与此同时,它会降低精度并增加定位误差。本文旨在提出一种经济高效但更准确的本地化解决方案。该方案是结合了APIT,RSSI和PSO算法的无范围定位。该算法在信标交换期间从信标节点选择相邻节点的RSSI测量值并对其加权,以基于强度测量距离。此外,我们将PSO与成本函数一起使用,以通过找到具有全局和局部最小成本的坐标,通过使用相邻节点的位置和速度矢量的连续迭代,来降低坐标的成本。最后,我们借助APIT借助信标节点和邻近节点(使用PSO计算)来计算未知或所需节点的坐标。由于定位是不受范围限制的,因此硬件设置成本最低,并且仿真结果表明,与APIT以及APIT与RSSI的组合相比,定位误差大大降低了。结果,它以较低的成本获得了更好的精度。

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