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针对DV-Hop算法中存在的误差问题,提出了一种基于平均每跳距离的改进方案.该算法利用误差修正值δ对估算的平均每跳距离值进行修正,以便减少估算的平均每跳距离与实际平均每跳距离之间的偏差.实验结果表明,改进算法有效的降低了节点的平均定位误差,提高了节点的定位精度,并且不需要增加额外的硬件. 相似文献
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无线传感器网络安全定位研究 总被引:4,自引:0,他引:4
定位是无线传感器网络的重要支撑技术之一,保证定位的安全性对无线传感器网络的应用全关重要。文章针对安全在定位中的重要性,叙述了定位的安全需求,详细介绍了各种攻击模式和专门针对定位的攻击,对已存在的所有安全定位技术作了全面介绍和比较。最后指出当前安全定位技术存在的不足和安全定位今后的研究方向。 相似文献
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Directional Controlled Fusion in Wireless Sensor Networks 总被引:3,自引:2,他引:1
Though data redundancy can be eliminated at aggregation point to reduce the amount of sensory data transmission, it introduces
new challenges due to multiple flows competing for the limited bandwidth in the vicinity of the aggregation point. On the
other hand, waiting for multiple flows to arrive at a centralized node for aggregation not only uses precious memory to store
these flows but also increases the delays of sensory data delivery. While traditional aggregation schemes can be characterized
as “multipath converging,” this paper proposes the notation of “multipath expanding” to solve the above problems by jointly
considering data fusion and load balancing. We propose a novel directional-controlled fusion (DCF) scheme, consisting of two
key algorithms termed as directional control and multipath fusion. By adjusting a key parameter named multipath fusion factor
in DCF, the trade-offs between multipath-converging and multipath-expanding can be easily achieved, in order to satisfy specific
QoS requirements from various applications. We present simulations that verify the effectiveness of the proposed scheme.
Min Chen received the Ph.D degree in Electrical Engineering from South China University of Technology in 2004, when he was 23 years old. Since Mar. 2006, he is Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia. Before joining UBC, he has been a Post-Doctoral Fellow in School of Computer Science and Engineering at Seoul National University for one and half years. Dr. Chen’s research interests include algorithmic, optimization and performance issues in wireless ad hoc and sensor networks and multimedia communications over wireless networks. He was interviewed by Chinese Canadian Times where he appeared on the celebrity column in 2007. He is the author of a textbook OPNET Network Simulation (Tsinghua Univ. Press, 2004). Dr. Chen received the Best Paper Runner-up Award from The Fifth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008. Victor C.M. Leung received the B.A.Sc. (Hons.) and PhD degrees, both in electrical engineering, from the University of British Columbia (UBC) in 1977 and 1981, respectively. He was the recipient of many academic awards, including the APEBC Gold Medal as the head of the 1977 graduate class in the Faculty of Applied Science, UBC, and the NSERC Postgraduate Scholarship. From 1981 to 1987, Dr. Leung was a Senior Member of Technical Staff and satellite systems specialist at MPR Teltech Ltd. In 1988, he was a Lecturer in Electronics at the Chinese University of Hong Kong. He returned to U.B.C. as a faculty member in 1989, where he is a Professor and holder of the TELUS Mobility Research Chair in Advanced Telecommunications Engineering in the Department of Electrical and Computer Engineering. His research interests are in mobile systems and wireless networks. Dr. Leung is a Fellow of IEEE and a voting member of ACM. He is an editor of the IEEE Transactions on Wireless Communications, an associate editor of the IEEE Transactions on Vehicular Technology, and an editor of the International Journal of Sensor Networks. Shiwen Mao received the Ph.D. degree in Electrical and Computer Engineering (ECE) from Polytechnic University, Brooklyn, NY in 2004. He was a Research Scientist at Virginia Tech, Blacksburg, VA from December 2003 to April 2006. Currently, he is an Assistant Professor in ECE at Auburn University, Auburn, AL. Dr. Mao’s research interests include modeling and optimization of wireless networks, cognitive networks, and multimedia communications. He is on the Editorial Board of the Hindawi Advances in Multimedia Journal and the Wiley International Journal of Communication Systems. Dr. Mao received the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems and the Best Paper Runner-up Award from The Fifth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008. He is the co-author of a textbook TCP/IP Essentials: A Lab-Based Approach (Cambridge Univ. Press, 2004). 相似文献
Min ChenEmail: |
Min Chen received the Ph.D degree in Electrical Engineering from South China University of Technology in 2004, when he was 23 years old. Since Mar. 2006, he is Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia. Before joining UBC, he has been a Post-Doctoral Fellow in School of Computer Science and Engineering at Seoul National University for one and half years. Dr. Chen’s research interests include algorithmic, optimization and performance issues in wireless ad hoc and sensor networks and multimedia communications over wireless networks. He was interviewed by Chinese Canadian Times where he appeared on the celebrity column in 2007. He is the author of a textbook OPNET Network Simulation (Tsinghua Univ. Press, 2004). Dr. Chen received the Best Paper Runner-up Award from The Fifth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008. Victor C.M. Leung received the B.A.Sc. (Hons.) and PhD degrees, both in electrical engineering, from the University of British Columbia (UBC) in 1977 and 1981, respectively. He was the recipient of many academic awards, including the APEBC Gold Medal as the head of the 1977 graduate class in the Faculty of Applied Science, UBC, and the NSERC Postgraduate Scholarship. From 1981 to 1987, Dr. Leung was a Senior Member of Technical Staff and satellite systems specialist at MPR Teltech Ltd. In 1988, he was a Lecturer in Electronics at the Chinese University of Hong Kong. He returned to U.B.C. as a faculty member in 1989, where he is a Professor and holder of the TELUS Mobility Research Chair in Advanced Telecommunications Engineering in the Department of Electrical and Computer Engineering. His research interests are in mobile systems and wireless networks. Dr. Leung is a Fellow of IEEE and a voting member of ACM. He is an editor of the IEEE Transactions on Wireless Communications, an associate editor of the IEEE Transactions on Vehicular Technology, and an editor of the International Journal of Sensor Networks. Shiwen Mao received the Ph.D. degree in Electrical and Computer Engineering (ECE) from Polytechnic University, Brooklyn, NY in 2004. He was a Research Scientist at Virginia Tech, Blacksburg, VA from December 2003 to April 2006. Currently, he is an Assistant Professor in ECE at Auburn University, Auburn, AL. Dr. Mao’s research interests include modeling and optimization of wireless networks, cognitive networks, and multimedia communications. He is on the Editorial Board of the Hindawi Advances in Multimedia Journal and the Wiley International Journal of Communication Systems. Dr. Mao received the 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems and the Best Paper Runner-up Award from The Fifth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008. He is the co-author of a textbook TCP/IP Essentials: A Lab-Based Approach (Cambridge Univ. Press, 2004). 相似文献
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针对无线传感器网络中经典定位算法 DV-Hop 存在定位精度低的缺陷,提出了一种改进算法。在传统 DV-Hop 算法的基础上,首先采用最小均方误差准则校正信标节点的平均每跳距离,然后对各未知节点到参考信标节点的平均每跳距离进行加权处理,最后通过参数分析,对未知节点进行位置修正。仿真实验结果表明,改进算法相比于传统的 DV-Hop 定位算法以及已有的改进算法具有很高的定位精度,并且无需增加额外的硬件设施。因此在工程上具有很好的实用性。 相似文献
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节点定位是传感网络最基本的技术之一,对此提出一种基于移动信标的网格扫描定位算法(Mobile Beacon Grid-Scan,MBGS)。该算法在网格扫描定位算法基础上,利用一个移动信标巡航整个传感区域,产生大量的虚拟信标,提高网络信标覆盖率,然后普通节点利用这些信标信息减小其可能区域(Estimative Rectangle,ER),并把新可能区域网格坐标质心作为其最新估计坐标。仿真结果表明,与Bounding Box、质心定位算法以及传统的网格扫描定位算法相比,MBGS定位方法的定位精度更高,算法性能更加稳定。 相似文献
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DV-Hop 算法是解决无线传感器网络节点定位问题的一种经典算法。文中根据经典的DV-Hop 算法提出了一种改进算法,通过引入更优的误差矫正和双曲线定位算法,减少了经典算法中多跳过程中积累的定位误差。比较和分析了经典DV-Hop 算法和改进后算法的仿真结果可以看出,改进后的DV-Hop 算法定位精度提高显著,在给定条件下的定位误差下降了约50%。 相似文献
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无线传感器网络定位算法综述 总被引:8,自引:2,他引:8
无线传感器网络(WSN)是一个多学科的研究领域,具有很广泛的应用前景,其中,WSN的定位是非常重要的研究方向。介绍了国内外研究机构在WSN定位方面的研究进展,并对这些工作进行了归纳和总结。将每种定位算法按照需不需要测距分为两大类,而且在具体算法中讨论了其以下几个特征,包括:需要/不需要锚节点、集中式/分布式、固定/移动等。 相似文献
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张丽虹 《微电子学与计算机》2012,29(9):171-174,178
针对传感器部署密度大、分布不均匀,DV-Hop定位算法误差大等问题,提出了一种改进DV-Hop的无线传感器节点定位算法.首先采用DV-Hop算法对未知传感器节点位置进行计算,然后在采用遗传算法对DV-Hop定位的误差进行修正.仿真结果表明,改进DV-Hop算法提高了节点的定位精度,降低定位的误差,更能真实地反映传感器网络节点的实际分布情况. 相似文献
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传感器网络的粒子群优化定位算法 总被引:1,自引:0,他引:1
无线传感器网络定位问题是一个基于不同距离或路径测量值的优化问题。由于传统的节点定位算法采用最小二乘法求解非线性方程组时很容易受到测距误差的影响,为了提高节点的定位精度,将粒子群优化算法引入到传感器网络定位中,提出了一种传感器网络的粒子群优化定位算法。该算法利用未知节点接收到的锚节点的距离信息,通过迭代方法搜索未知节点位置。仿真结果表明,该算法有效地抑制了测距误差累积对定位精度的影响,提高了节点的定位精度。 相似文献
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Improved TOA‐Based Localization Method with BS Selection Scheme for Wireless Sensor Networks 下载免费PDF全文
The purpose of a localization system is to estimate the coordinates of the geographic location of a mobile device. The accuracy of wireless localization is influenced by non‐line‐of‐sight (NLOS) errors in wireless sensor networks. In this paper, we present an improved time of arrival (TOA)–based localization method for wireless sensor networks. TOA‐based localization estimates the geographic location of a mobile device using the distances between a mobile station (MS) and three or more base stations (BSs). However, each of the NLOS errors along a distance measured from an MS (device) to a BS (device) is different because of dissimilar obstacles in the direct signal path between the two devices. To accurately estimate the geographic location of a mobile device in TOA‐based localization, we propose an optimized localization method with a BS selection scheme that selects three measured distances that contain a relatively small number of NLOS errors, in this paper. Performance evaluations are presented, and the experimental results are validated through comparisons of various localization methods with the proposed method. 相似文献
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在无线传感器网络中传统的序列定位算法将空间划分为点、边和面等不同的区域,但以面重心为未知点定位时误差较大. 针对此节点自定位算法的误差问题,提出了一种序列定位与三点垂心法相结合的节点定位改进算法,给出了该算法的基本原理与实现方法. 通过进一步判断排列顺序相关系数的三个最大值,求出离未知节点“最近”的三个区域的重心构成的三角形的垂心,进一步滤掉节点不可能存在的区域,减少定位误差. 该算法增加了计算未知节点精确位置的计算量,但不需要增加节点的硬件条件和计算复杂度. 仿真结果表明,与传统序列定位算法和三点垂心法相比,新算法可以明显的提高定位精度,随着锚节点数的增多,定位误差呈大幅度的减少. 相似文献
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In wireless sensor networks, node localization is a fundamental middleware service. In this paper, a robust and accurate localization algorithm is proposed, which uses a novel iterative clustering model to obtain the most representative intersection points between every two circles and use them to estimate the position of unknown nodes. Simulation results demonstrate that the proposed algorithm outperforms other localization schemes (such as Min-Max, etc.) in accuracy, scalability and gross error tolerance. 相似文献
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文中在MCB(Monte—Carlo Localization Boxed)定位算法的基础上提出了一种新的移动无线传感器网络(Mobile Wireless Sensor Networks)节点的定位算法——权重MCB算法。MCB算法在定位过程中,在采样和滤波阶段用到了一阶锚节点和二阶锚节点的位置信息,而没有应用到邻居节点的位置信息。权重MCB在定位过程中不仅用到了一阶锚节点和二阶锚节点的位置信息,还应用到了一阶邻居节点的采样集合里的采样点(即一阶邻居节点的估计位置),从而改进了定位精度。对比MCB算法,权重MCB算法对定位精度的改进为13%~18%。 相似文献
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集中传感器、计算机以及通信技术的无线传感器网络技术由于其良好的性能以及广阔的运用空间,得到了广大学者的关注和研究。基于此介绍了无线传感器网络的基本概念、属性,讨论了无线传感器网络的关键技术,并就使用领域进行了阐述。 相似文献
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无线传感器网络中LEACH算法的改进研究 总被引:1,自引:2,他引:1
针对经典分簇路由算法LEACH在选取簇头时的不足,文中从节点区域能量平衡出发,尽量将剩余能量较高且所在位置覆盖密度较大的节点充当簇头,使整个区域"均匀"消耗能量,并基于此思想提出了一种对经典分簇路由算法LEACH的改进算法.实验仿真结果表明,改进算法能有效平衡区域能量消耗,延长网络的生命周期. 相似文献