水下无线传感器网络中的错误信标过滤策略（英文）

发布时间：2018-07-20 10:57

【摘要】：水下无线传感器网络可以为海洋地理数据收集、预防自然灾害、战术预警等多种水下应用提供实时监控服务。水下定位技术是水下应用中的一大难点。水下定位通常依赖信标节点;但是由于水下洋流环境的复杂变化、水下生物的碰触和强电磁干扰,信标节点往往会移动或损坏,导致许多普通传感器节点定位错误。为了处理错误信标问题,提出一种基于粒子群优化的错误信标过滤算法来精确地找出错误信标。首先通过改进的三边定位法计算出定位错误;然后通过粒子群优化算法把定位错误数量最多的信标节点过滤出来。剩下的信标节点不断进行过滤,直到每一个信标节点的相关定位错误都低于某个预设的阈值。模拟实验证明,算法可以高效地检测出几乎全部错误信标,并且有很好的算法一致性。
[Abstract]:Underwater wireless sensor networks can provide real-time monitoring services for marine geographic data collection, natural disaster prevention, tactical early warning and other underwater applications. Underwater positioning technology is a big difficulty in underwater application. Underwater positioning usually depends on beacon nodes, but due to the complex changes of underwater ocean current environment, the contact of underwater organisms and strong electromagnetic interference, beacon nodes will often move or damage, resulting in many common sensor node positioning errors. In order to deal with the problem of error beacon, an error beacon filtering algorithm based on particle swarm optimization is proposed to find the error beacon accurately. First, the localization errors are calculated by the improved trilateral localization method, and then the beacon nodes with the largest number of localization errors are filtered out by particle swarm optimization. The remaining beacon nodes are filtered until each beacon node's location error is lower than a preset threshold. Simulation results show that the algorithm can detect almost all error beacons efficiently and has good consistency.
【作者单位】：南京工程学院计算机工程学院;南京邮电大学计算机科学与技术学院;
【基金】：国家自然科学基金(61373139) 博士后科研基金(2014M560379,2015T80484)资助
【分类号】：TN929.3;TP212.9

【相似文献】