检索结果-内蒙古大学图书馆

2015 International Conference on Computer Science and Environmental Engineering(CSEE 2015)

作者： Hao Shi Wanliang Wang Liangjin Lu College of Computer Science and Technology Zhejiang University of Technology

Node localization is one of the key technologies of wireless sensor networks,while 3D localization has been becoming a hotspot in the field of localization technology research these *** paper proposes to transfer the 3D localization problem in WSN into global optimization one and use improved bat algorithm(IBA) for the position estimation of unknown *** the disadvantages of bat algorithm including premature convergence and slow convergence,an IBA algorithm is *** equation of velocities and positions is modified by inertia weight factor and Lévy flight strategy,effectively avoiding trapping in local optimum,accelerating the convergence speed,and realizing the balance of exploration and exploitation *** experiments on Zigbee platform indicated that IBA boasts higher localization accuracy in 3D space and faster convergence.

关键词： wireless sensor networks localization algorithm bat algorithm inertia weight factor Lévy flight

来源：评论

学校读者我要写书评

暂无评论

Analysis of OSSDL and IVCN Self-localization algorithms in Wireless Sensor Networks

Analysis of OSSDL and IVCN Self-localization Algorithms in W...

引用

International Conference on Computer Science and Network Technology

作者： Wu Hua Zhang Guangyuan Liu Yang Xiao Hairong Xing Jianping Zhang Hui School of Information Science and Electric Engineering Shandong Jiaotong University School of Information Science and Engineering Shandong University China Unicom Shandong Branch

ISBN: (纸本)9781467329637

A range-free three dimensional localization scheme based on optimum space step distance (OSSDL) and an improved node self-localization algorithm based on virtual central node (IVCN) for wireless sensor network (WSN) are proposed in our previous papers. By analyzing classic two dimensional DV-Hop localization algorithm, OSSDL algorithm realizes localization. Especially by optimizing distances from the 3D network model, the optimum space step distance from nodes to anchors in OSSDL is obtained and the coordinates of all unknown nodes can be derived finally. However in IVCN localization algorithm, by deducing a 3D special node in the cube which is virtually formed by eight anchor nodes, which is called virtual central node, unknown nodes can compute their own estimated positions automatically. In this paper, a comprehensive analysis of OSSDL and IVCN are presented to explore their true performances. We also have made comparisons with classic DV-Hop and Centroid algorithms with several parameters changed under the same simulation environments. The index of positioning accuracy is addressed. From simulation results, IVCN performs better on localization accuracy than OSSDL, which is definitely much better than that of original DV-Hop.

关键词： WSN localization algorithm OSSDL IVCN Performance analysis Wireless sensor networks WSN gene STEP SPACING Ganglia Set of central axillary lymph nodes Boat anchors algorithms positioning accuracy

来源：评论

学校读者我要写书评

暂无评论

A probabilistic-based approach for direction-of-arrival estimation and localization of multiple sources

引用

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2020年第11期33卷 e4425-e4425页

作者： Abdelbari, Amr Bilgehan, Bulent Near East Univ Dept Elect & Elect Engn Nicosia Turkey

This article contributes to science at two points. The first contribution is at a point of introducing a novel direction-of-arrival (DOA) estimation method which based on subspaces methods called Probabilistic Estimation of Several Signals (PRESS). The PRESS method provides higher resolution and DOA accuracy than current models. Second contribution of the article is at a point of localizing the unknown signal source. The process of localization achieved by using DOA information for the first time. The importance of localization exists in a large area of engineering applications. The aim is to determine the location of multiple sources by using PRESS with minimum effort of computation. We used the maximum probabilistic process in this study. Initially, all the signals are collected by the array of sensors and accurately identified using the proposed algorithm. The receiver at the best in test estimates the source location using only the knowledge of the geographical latitude and longitude values of the array of sensors. Several test points with an accurately calculated angle of arrival enable us to draw linear lines towards the transmitter. The transmitter location can be accurately identified with the line of interceptions. Simulation and numerical results show the outstanding performance of both the DOA estimation method and transmitter localization approach compared with many classical and new DOA estimation methods. The PRESS localization method first tested at 19 degrees, 26 degrees, and 35 degrees with an signal-to-noise ratio (SNR) value of -5 dB. The PRESS method produced results with an extremely low bias of 0 and 0.00080 degrees. The simulation tests are repeated and produced results with zero bias, which give the exact location of the unknown source.

关键词： array of antenna array signal processing direction-of-arrival (DOA) estimation localization algorithm probability subspaces method

来源：评论

学校读者我要写书评

暂无评论

PD Source Diagnosis and localization in Industrial High-Voltage Insulation System via Multimodal Joint Sparse Representation

引用

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2016年第4期63卷 2506-2516页

作者： Wan, Liangtian Han, Guangjie Shu, Lei Chan, Sammy Feng, Naixing Hohai Univ Dept Informat & Commun Syst Changzhou 213022 Peoples R China Guangdong Univ Petrochem Technol Guangdong Petrochem Equipment Fault Diag Key Lab Guangzhou 525000 Guangdong Peoples R China City Univ Hong Kong Dept Elect Engn Kowloon Tong Hong Kong Peoples R China Xiamen Univ Inst Electromagnet & Acoust Xiamen 361005 Peoples R China

Partial discharge (PD) is the manifestation of insulation degradation, and it is regarded as a great risk in the field of industrial high-voltage insulation system. In this paper, the direction-of-arrival (DOA) estimation algorithm is used for the localization of partial-discharge source. The intersecting point of two rays, which come from two different directions measured by two uniform linear arrays (ULAs), can be regarded as the plane location of partial-discharge source. Fast rise times of partial-discharge pulses result in a wide electromagnetic spectrum, thus this paper focuses on the DOA estimation of wideband signals. The technique of multimodal joint sparse representation (MJSR) has been used to improve the performance of biometrics recognition. Here, we extend it to DOA estimation. The received data are represented by a sparse linear combination of potential steering vectors, while constraining the observations from different frequencies subject to sharing the same sparsity pattern. Based on the simultaneous orthogonal matching pursuit (SOMP) and alternating direction method of multipliers (ADMM), a hard threshold algorithm is proposed for DOA estimation. In order to reduce the computational complexity of hard threshold algorithm, an improved soft threshold DOA estimation algorithm based on the ADMM is proposed as well. The effectiveness of the proposed algorithms is validated by simulations and real tests.

关键词： Direction-of-arrival (DOA) estimation localization algorithm multimodal joint sparse representation (MJSR) wideband signal

来源：评论

学校读者我要写书评

暂无评论

A novel hybrid localization scheme for deep mine based on wheel graph and chicken swarm optimization

引用

COMPUTER NETWORKS 2019年第May 8期154卷 73-78页

作者： Yu, Xiuwu Zhou, Lixing Li, Xiangyang USC State Key Lab Safety & Hlth Met Mines Hengyang Hunan Peoples R China

This paper proposes a hybrid localization scheme for deep mine monitoring via wireless sensor network. The algorithm is designed for optimal accuracy as well as efficiency. A clustering method based on wheel graph theory is proposed to standardize the subnetwork quantity and reduce the complexity of subsequent chicken swarm optimization (CSO). The proposed scheme allows for the swift and simple transformation of clusters, which minimizes complexity among clusters and improves the localization precision. Simulation and performance analysis results show that the localization accuracy of the proposed CSO-W scheme is 26.4% higher than D3D-MDS and 17.1% higher than CSO. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Wireless sensor network localization algorithm Deep mine Wheel graph Chicken swarm optimization

来源：评论

学校读者我要写书评

暂无评论

A framework based on barycentric coordinates for localization in wireless sensor networks

引用

COMPUTER NETWORKS 2013年第17期57卷 3701-3712页

作者： Hou, Cuiqin Hou, Yibin Huang, Zhangqin Beijing Univ Technol Embedded Software & Syst Inst Beijing 100124 Peoples R China

localization is a fundamental and vital problem in wireless sensor networks. This paper presents an optimizing framework for localization based on barycentric coordinates. The framework consists of two components. The first component retains the structure revealed by the distances between pairs of nodes;the second component constrains the boundary nodes to maintain the distance with their neighbor nodes. A hybrid localization algorithm is derived on top of the optimizing framework. A part of the computation is performed collaboratively by nodes, whereas the rest is executed on the sink node. Experimental results show that the proposed localization algorithm obtains lower location errors without higher communication costs. (C) 2013 Elsevier B.V. All rights reserved.

关键词： localization algorithm Optimizing framework Barycentric coordinates Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Path planning for multiple mobile anchor nodes assisted localization in wireless sensor networks

引用

MEASUREMENT 2019年 141卷 124-136页

作者： Sun, Supeng Zhao, Jianping Tian, Xiaochuan Zhang, Jing Changchun Univ Sci & Technol Changchun 130022 Jilin Peoples R China

The multiple mobile anchor nodes assisted localization algorithm has better performance than single anchor node. However, it still has some problems that include large energy consumption caused by transmitting data packages repeatedly at the same position, low localization efficiency and overlong moving path. In this paper, the path planning method for multiple mobile anchor nodes (PP-MMAN) is proposed. The method not only improves the location efficiency of the node by shortening the length of the moving path, but also reduces the energy consumption of the anchor nodes in the way of avoiding the phenomenon that the mobile beacon nodes transmit the data packages repeatedly at the same position. In addition, the Compensation algorithm for Positioning (CAP) is proposed to solve the problem that some unknown nodes near the boundary area cannot estimate their own positions because of the insufficient positional information. The proposed PP-MMAN algorithm is compared with the existing algorithms such as GSCAN and GTURN. Simulation results show that the proposed PP-MMAN moves 19.3% and 27.9% less length of path as compared with the GSCAN and GTURN. Simulation also indicate that the proposed PP-MMAN consumes 24.48% and 25.02% less energy as compared with the GSCAN and GTURN, moreover it increases 14.42% and 7.81% of average location efficiency as compared with the GSCAN and GTURN. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Mobile path planning Mobile beacon nodes localization algorithm Wireless sensor network

来源：评论

学校读者我要写书评

暂无评论

localization systems for wireless sensor networks

引用

IEEE WIRELESS COMMUNICATIONS 2007年第6期14卷 6-12页

作者： Boukerche, Azzedine Oliveira, Horacio A. B. F. Nakamura, Eduardo F. Loureiro, Antonio A. F. Univ Ottawa Ottawa ON K1N 6N5 Canada Univ Fed Amazonas Manaus Amazonas Brazil Univ Fed Minas Gerais FUCAPI Minas Gerais Brazil Univ Fed Minas Gerais Minas Gerais Brazil

Monitoring applications define an important class of applications used in wireless sensor networks. In these applications the network perceives the environment and searches for event occurrences (phenomena) by sensing different physical properties, such as temperature, humidity, pressure, ambient light, movement, and presence (for target tracking). In such cases the location information of both phenomena and nodes is usually required for tracking and correlation purposes. In this work we summarize most of the concepts related to localization systems for WSNs as well as how to localize the nodes in these networks (which allows the localization of phenomena). By dividing the localization systems into three distinct components-distance/angle estimation, position computation, and localization algorithm-besides providing a didactic viewpoint, we show that these components can be seen as subareas of the localization problem that need to be analyzed and studied separately.

关键词： angular measurement distance measurement wireless sensor networks WSN angle estimation distance estimation localization algorithm position computation Ganglia Angle measurement PHENOMENON distance measurement

来源：评论

学校读者我要写书评

暂无评论

localization Scheme Using Single Anchor Node for Mobile Wireless Sensor Nodes in WSNs

引用

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2024年 1-24页

作者： Kumar, Sanjeev Singh, Manjeet Dr BR Ambedkar Natl Inst Technol ECE Dept Jalandhar Punjab India

Mobile wireless sensor networks (MWSNs) have revolutionized observing and tracking. Accurately locating mobile sensor nodes remains a challenging task. The precisely identifying event source location is very important. To locate mobile sensor nodes there is a need of developing an efficient localization method. Most of the researcher have used multiple anchor nodes for localization. Therefore, in resource constraint networks reducing number of anchor nodes is an open research issue. The main idea of this work is to propose a localization method using single anchor node. To achieve this, a novel coordinated auto-localization algorithm with particle swarm optimization (PSO) is introduced to enhance localization and tracking of mobile sensor nodes. A mathematical framework has been developed which uses parallel coordinate system to identify location and PSO to track movement pattern of sensor nodes. PSO minimized localization error by refining position accuracy through iterative convergence. It achieves 10% reduction in localization error and a 25% increase in correctly localized nodes, with an overall tracking precision of 80%. Comparative analysis with different techniques like mobile anchor positioning with mobile anchor & neighbor, fish swarm optimization algorithm, DV-hop localization, and autonomous groups particle swarm optimization shows that this method reduces the average localization error to 10% and improves localization efficiency by reducing the required time by 16% compared to other techniques. A pairwise Wilcoxon rank test with a 95% confidence interval shows the proposed method's superior performance, with a mean of 2.6321E-18 and standard deviation of 3.2705E-19, compared to other metaheuristic algorithms.

关键词： Mobile Wireless sensor networks Anchor node Mobile sensor node localization error localization algorithm Particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

Node localization Based on Improved PSO and Mobile Nodes for Environmental Monitoring WSNs

引用

INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS 2018年第4期25卷 470-479页

作者： Shen, Shu Sun, Lijuan Dang, Yibo Zou, Zhiqiang Wang, Ruchuan Nanjing Univ Posts & Telecommun Sch Comp Sci & Technol Nanjing Jiangsu Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing Jiangsu Peoples R China

In this paper, a novel iterative localization algorithm based on improved particle swarm optimization (PSO) is proposed for monitoring environment like lakes, rivers or other water bodies. The first step of this algorithm is to get the position of some unknown nodes by using improved PSO algorithm. The second step is to locate other nodes by using these unknown nodes in first step as new anchor nodes. The localization problem of island node in sparse distributed grid is solved by introducing adaptive mobile node in this paper. The simulation results show that the algorithm has the advantages of small location error and little influence by environmental factors.

关键词： localization algorithm Wireless sensor networks (WSNs) Particle swarm optimization (PSO) Environment monitoring

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：