共查询到19条相似文献,搜索用时 125 毫秒
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用无线传感器网络探测跟踪目标 总被引:1,自引:0,他引:1
与传统的探测跟踪方法相比,无线传感器网络以其良好的特性弥补了传统跟踪方法的不足。文章介绍了无线传感器网络的体系结构,探讨了无线传感器网络探测跟踪目标的策略和方法,最后提出了用无线传感器网络跟踪目标需要考虑的问题。 相似文献
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信息化战争要求作战系统"看得明、反应快、打得准",打得准的关键是对目标进行定位跟踪。文章介绍了无线传感器网络的基本概念和体系构成,探讨了无线传感器网络技术在战场目标定位跟踪方面应用的原理,讨论了无线传感器网络应用于战场目标跟踪定位的关键技术。 相似文献
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无线传感器网络是目前最前沿的研究之一。随着科技的进步,无线传感器网络在我们的日常生活中发挥着越来越重要的作用。而无线传感器网络的独特性使得它很容易受到各种攻击,这也对无线传感器网络安全性提出了更高的要求。文章试着分析无线传感器网络存在的安全隐患,并提出无线传感器网络的防护策略。 相似文献
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无线传感器网络由于其自组织性、鲁棒性及节点数量巨大的特点,非常适合于目标跟踪。无线传感器网络目标跟踪大体分为单目标跟踪与面目标跟踪。单目标跟踪主要采用双元检测协作跟踪、信息驱动协作跟踪、传送树跟踪算法等方法。面目标跟踪采用对偶空间转换算法等方法。在无线传感器网络目标跟踪中,跟踪精度、跟踪能量消耗和跟踪可靠性是需要考虑的主要问题。 相似文献
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目标跟踪一直是无线传感器网络的重要方向之一。由于无线传感器网络在目标跟踪应用中有很多限制,相对传统的多目标跟踪手段,无线传感器网络多目标跟踪的研究成果很少。本文针对无线传感器网络目标跟踪中的限制因素,提出了一种基于预测分离的无线传感器网络多目标跟踪算法。算法利用混叠信号分离的原理对多目标混叠信号进行分离,得出每个目标所产生的单一信号,计算每个目标的状态,根据目标前一时刻的状态,用直线预测的方法预测目标下一时刻的状态。最后通过仿真验证算法。 相似文献
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无线传感器网络已成为当今的一个研究热点,由于无线传感器网络是一个能量受限网络,需要采取措施延长网络的正常使用寿命,负载均衡策略正是延长网络生命期的重要手段.本文介绍无线传感器网络中的节点负载问题,提出了一种基于拓扑控制的无线传感器网络节点负载均衡策略,有助于延长无线传感器网络的使用寿命. 相似文献
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无线传感器网络中基于移动代理的信息驱动的多分辨率算法研究 总被引:1,自引:0,他引:1
该文提出了一种适用于无线传感器网络的基于移动代理的信息驱动的多分辨率(MAIDM)算法,以提高目标跟踪过程中数据处理的精度和容错性,并满足无线传感器网络对节能方面的要求。该文在以簇为逻辑结构的无线传感器网络中,移动代理根据各节点信息贡献量的估计,使用多分辨率算法收集、处理节点数据,并根据移动代理迁移路径上节点信息贡献量的最大值,动态决定其携带的数据量,以达到在节省能量的同时,提高跟踪的精度和容错性。仿真验证了MAIDM算法在精度和容错性方面比IDSQ算法有很大的提高,在节省能量方面比MA-CSIP算法更加有效。 相似文献
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Target tracking is one of the most important applications of wireless sensor networks. Optimized computation and energy dissipation are critical requirements to save the limited resource of sensor nodes. A new robust and energy-efficient collaborative target tracking framework is proposed in this article. After a target is detected, only one active cluster is responsible for the tracking task at each time step. The tracking algorithm is distributed by passing the sensing and computation operations from one cluster to another. An event-driven cluster reforming scheme is also proposed for balancing energy consumption among nodes. Observations from three cluster members are chosen and a new class of particle filter termed cost-reference particle filter (CRPF) is introduced to estimate the target motion at the cluster head. This CRPF method is quite robust for wireless sensor network tracking applications because it drops the strong assumptions of knowing the probability distributions of the system process and observation noises. In simulation experiments, the performance of the proposed collaborative target tracking algorithm is evaluated by the metrics of tracking precision and network energy consumption. 相似文献
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为了提高运动目标的跟踪精度,提出一种基于强跟踪滤波的传感器目标跟踪算法.首先通过传感器节点测量目标的状态值,并通过融合中心对信息进行融合,然后利用Cholesky分解技术变换成噪声独立的量化融合系统,并采用强跟踪滤波算法对目标状态进行估计,最后与其它目标跟踪算法进行对比实验.结果表明,本文算法不仅提高了目标跟踪的精度,而且具有更好的鲁棒性. 相似文献
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An optimum sensor node deployment in wireless sensor network can sense the event precisely in many real time scenarios for example forests, habitat, battlefields, and precision agriculture. Due to these applications, it is necessary to distribute the sensor node in an efficient way to monitor the event precisely and to utilize maximum energy during network lifetime. In this paper, we consider the energy hole formation due to the unbalanced energy consumption in many-to-one wireless sensor network. We propose a novel method using the optimum number of sensor node Distribution in Engineered Corona-based wireless sensor network, in which the interested area is divided into a number of coronas. A mathematical models is proposed to find out the energy consumption rate and to distribute the optimum number of sensor node in each corona according to energy consumption rate. An algorithm is proposed to distribute the optimum number of sensor nodes in corona-based networks. Simulation result shows that the proposed technique utilized 95 % of the total energy of the network during network lifetime. The proposed technique also maximizes the network lifetime, data delivery and reduce the residual energy ratio during network lifetime. 相似文献
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Target tracking problems have been studied for both robots and sensor networks. However, existing robotic target tracking algorithms require the tracker to have access to information-rich sensors, and may have difficulty recovering when the target is out of the tracker??s sensing range. In this paper, we present a target tracking algorithm that combines an extremely simple mobile robot with a networked collection of wireless sensor nodes, each of which is equipped with an unreliable, limited-range, boolean sensor for detecting the target. The tracker maintains close proximity to the target using only information sensed by the network, and can effectively recover from temporarily losing track of the target. We present two algorithms that manage message delivery on this network. The first, which is appropriate for memoryless sensor nodes, is based on dynamic adjustments to the time-to-live (TTL) of transmitted messages. The second, for more capable sensor nodes, makes message delivery decisions on-the-fly based on geometric considerations driven by the messages?? content. We present an implementation along with simulation results. The results show that our system achieves both good tracking precision and low energy consumption. 相似文献
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This paper investigates strategies for prolonging the system lifetime for wireless video sensor networks, by adopting a mobile
sink and solar-powered video sensors. Issues of tracking moving objects in wireless video sensor networks are studied, and
the effectiveness of adopting a mobile sink is evaluated. This paper applies a power-rate-distortion analysis framework, which
provides a theoretical fundamental to quantify various properties of wireless video sensor networks. The performance of wireless
video sensor networks is evaluated with a mobile sink versus a static sink, under different cluster sizes and number of sensors.
Comparisons of network lifetime, tracking error, video distortion, are also covered in this paper. In addition, this paper
also evaluates the performance of solar-powered video sensors under an unequal layered clustering topology. 相似文献
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An important application of wireless sensor networks is tracking moving objects. Prediction-based techniques have been proposed to reduce the power consumption in wireless sensor networks by limiting the sensor active time. This paper proposes a quantitative method to optimize the power efficiency by analyzing the effect of prediction on the energy consumption in such networks. To our best knowledge, our efforts are the first attempt made to calculate the optimal tracking interval for a given predictive tracking algorithm. Based on this method, the lifetime and power efficiency of a sensor network can be effectively improved. 相似文献
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