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NMTLAT: A New robust mobile Multi-Target Localization and Tracking Scheme in marine search and rescue wireless sensor networks under Byzantine attack

机译:NMTLAT:在拜占亮攻击下的海洋搜索和救援无线传感器网络中的一种新的强大移动多目标本地化和跟踪方案

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After a shipwreck (ship collision, explosion, disappearance, etc.), people rely on the marine search and rescue wireless sensor networks (MSR-WSNs) as one key weapon to locate and track drowning targets to save lives and assets. However, due to the complex and dynamic ocean environment, marine sensors could be captured by malicious attackers and then become Byzantine sensors. Byzantine sensors may tamper with the actual sensor data at a fixed or time-varying probability and transmit it to the data fusion center (DFC), which renders the normal localization and tracking function of the search and rescue system downgrade or even fail. To address this issue, we develop a New robust marine mobile Multi-Target LocAlization and Tracking scheme called NMTLAT by eliminating abnormal measurement data from the initial measurement data. NMTLAT works in several steps. By analyzing and mining sensors data and behavior, we firstly employ the information entropy of the system composed of a single sensor and their neighbor sensors to develop an efficient dynamic threshold based Byzantine node identification method. After migrating Byzantine sensors, the DFC utilizes sensor-aware and preprocessed marine data of the beacon or honest sensors to complete target localization and trajectory tracking. Specifically, NMTLAT consists of a novel distributed and cooperative multi-target localization and tracking algorithm using both received signal strength indication (RSSI) and priori information of sensors location. NMTLAT employs the importance sampling method to approximate the posterior probability distribution of the sensors and targets location. Furthermore, when the marine target is outside MSR-WSNs coverage, a piecewise function is utilized to characterize the likelihood of finding a drowning target in the search and rescue sea area. Finally, the Lyapunov's second stability theorem is adopted to measure the stability of the NMTLAT. Our extensive simulation experiments validate that the NMTLAT performance is superior to existing solutions in various marine search and rescue scenarios.
机译:在沉船(船舶碰撞,爆炸,消失等)之后,人们依靠海洋搜索和救援无线传感器网络(MSR-WSNS)作为一个关键武器来定位和跟踪淹没目标以拯救生命和资产。然而,由于复杂和动态的海洋环境,可以通过恶意攻击者捕获海洋传感器,然后成为拜占庭式传感器。拜占庭式传感器可以以固定的或时变概率篡改实际传感器数据,并将其传输到数据融合中心(DFC),这使得搜索和救援系统降级甚至失败的正常定位和跟踪功能。为了解决这个问题,我们通过从初始测量数据中消除异常测量数据,开发一种新的强大的船用移动多目标定位和跟踪方案,称为NMTLAT。 NMTLAT在几个步骤中工作。通过分析和挖掘传感器数据和行为,我们首先使用由单个传感器和邻居传感器组成的系统的信息熵来开发基于高效的动态阈值的拜占庭节点识别方法。迁移拜占庭传感器后,DFC利用信标或诚实传感器的传感器感知和预处理的海洋数据来完成目标本地化和轨迹跟踪。具体地,NMTLAT由一种新颖的分布式和协作的多目标定位和跟踪算法组成,所述信号强度指示(RSSI)和传感器位置的先​​验信息。 NMTLAT采用重要的采样方法来近似传感器的后验概率分布和目标位置。此外,当海域目标在MSR-WSN覆盖范围之外,分段函数用于表征在搜索和救援海域中找到溺水目标的可能性。最后,采用Lyapunov的第二个稳定定理来测量NMTLAT的稳定性。我们广泛的仿真实验验证了NMTLAT性能优于各种海洋搜索和救援方案的现有解决方案。

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