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18th International Conference on Advanced Communication Technology (ICACT)

作者： Wu, Jiawei Tianjin Univ Commerce Sch Informat Engn Tianjin Peoples R China

ISBN: (纸本)9788996865063

In order to enhance the accuracy of AD-Hoc network localization and the autonomy of the range-free localization algorithm, the sensing distance-accumulated value, as a scale, is used to modify accumulated distance and estimate node location information by the way of curve fitting, instead of calculating the coordinate value by the way of maximum likelihood estimation. By means of the mathematical deduction and simulation analysis, this localization algorithm, based on the distance-assisted, could realize the quantitative analysis of dv-hop algorithm, reduce the physical localization difference of the AD-Hoc network due to the multi-hop communication mechanism, modify the accumulated distance in the hop segment, improve the localization accuracy in a network of nodes that are unevenly distributed. In dense or sparse networks, this new improved algorithm could achieve a better localization data of the nodes than the traditional algorithm, and realize the nodes autonomous localization in the AD-Hoc network.

关键词： AD-Hoc network Range-free localization dv-hop algorithm Distance-assited hop count quantitative analysis

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An Improved Hybrid Localization algorithm for Wireless Sensor Networks 8

An Improved Hybrid Localization Algorithm for Wireless Senso...

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8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

作者： Liu, Yuan Chen, Junjie Xu, Zhenfeng Zhang, Jingxia Yang, Yan Southeast Univ Nanjing Jiangsu Peoples R China Sch Guangdong Petr & Chem Engn Maoming Guangdong Peoples R China

ISBN: (纸本)9781509007684

Localization technology is the basis of practical applications of wireless sensor networks (WSNs). An improved localization algorithm for wireless sensor networks was proposed to reduce hop distance error and solve the premature convergence problem for the hybrid localization algorithm of dv-hop and Bat (BAdv-hop). Based on the vector routing localization mechanism, an optimization method was designed to enhance the average hop distance accuracy. The linear weight strategy was used to correct searching velocity of bats. In addition, tendentious random disturbance was established to optimize location information. Experimental results showed that the localization accuracy of improved algorithm is 13% greater than that of dv-hop algorithm and 3% greater than that of BAdv-hop algorithm. Moreover, the improved algorithm effectively reduced the maximum iterations and avoided premature convergence without any additional energy consumption compared to BAdv-hop algorithm.

关键词： wireless sensor networks improved algorithm dv-hop algorithm bat algorithm localization

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An Adaptive Hybrid Localization algorithm for Wireless Sensor Network

An Adaptive Hybrid Localization Algorithm for Wireless Senso...

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2nd International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)

作者： Liu, Lijun Wei, Yuankun Xiu, Guoyi Shenyang Univ Technol Informat Sci & Engn Sch Shenyang Peoples R China

ISBN: (纸本)9780769549354

Aiming at that bounding box algorithm's coverage is depend on the anchor nodes density in network and dv-hop has a larger location error, this paper presents a hybrid algorithm that combines the bounding box localization algorithm and dv-hop localization algorithm, which is called Bdv-hop algorithm. Simulating in MATLAB platform, we analyze bounding box, dv-hop and the Bdv-hop algorithm respectively. Extensive simulation show that under a variety of network conditions, Bdv-hop algorithm inherits both the advantage of bounding box that has smaller location error and cost, and the advantage of dv-hop that has high location coverage. At the same time Bdv-hop algorithm have a better adaptability.

关键词： Adaptability Bdv-hop hybrid localization algorithm Bounding box algorithm dv-hop algorithm Location Coverage Location Error Wireless Sensor Network

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High-Accuracy Positioning for Indoor Wireless Sensor Networks 9

High-Accuracy Positioning for Indoor Wireless Sensor Network...

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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Hongji Huang Jin-Yuan Wang Xingzhou Zhou Tong Xiang Yu Zhang Hao Wu Yongjin Wang College of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications National Mobile Communications Research Laboratory Southeast University

ISBN: (纸本)9781509038237;9781509038220

In this paper, a new scheme to reduce the positioning error is investigated for wireless sensor networks(WSN). To be specific, conventional Distance Vector-hop(dvhop) algorithm fail to calculate the average distance per-hop with high precision that caused by the random distribution of the irregular network topology, greatly leading to the positioning error in the dv-hop algorithm. To enhance the positioning accuracy, we combine the Quantum Bacterial Foraging Optimization(QBFO) algorithm with the dv-hop algorithm, designing a new QBFO-dv-hop(Quantum Bacterial Foraging Optimization dv-hop) algorithm. In the QBFO-dv-hop algorithm, the average distance per-hop is calculated by the QBFO by using the minimum hops of nodes and the position information of anchor nodes are broadcast. Simulation results illustrate that the positioning error of 30% anchors can be effectively reduced without adding computation complexity, and computer simulation also shows that increasing the number of the unknown nodes or decreasing the communication radius can get better performance compared with other typical dv-hop algorithms.

关键词： dv-hop algorithm quantum bacterial foraging optimization model quantum computing swarm intelligence

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dv-hop Localization algorithms Based on Centroid in Wireless Sensor Networks

DV-Hop Localization Algorithms Based on Centroid in Wireless...

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International Conference on Consumer Electronics, Communications and Networks

作者： Dengyi Zhang Feng Liu Lei Wang Yuanxiu Xing School of Computer Wuhan University

ISBN: (纸本)9781457714146

The localization of the unknown nodes is essential for many applications in wireless sensor networks (WSN). But the traditional dv-hop algorithm has not high accuracy of the localization of the nodes. In this paper, we proposed an improved dv-hop location algorithm based on reduce the accumulation errors of the average hop distance of the unknown nodes in wireless sensor networks. We have made detailed analysis of the dv-hop algorithm, and have introduced the weighted averaged method for calculate to the average hop distance in the second stages. Then the estimates regional based on two beacon nodes is built, and the centroid of the region is the coordinates of the unknown node. Simulation experiments are conducted to compare the traditional dv-hop algorithm and improved dv-hop algorithm. The simulation results show that the proposed algorithm has better localization accuracy based on the same or different number of the sensor nodes and the communication radius.

关键词： dv-hop algorithm Centroid Average hop distance

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An LED SAHP-based Planar Projection PTCdv-hop Location algorithm

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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2019年第9期13卷 4541-4554页

作者： Zhang, Yuexia Chen, Hang Jin, Jiacheng Beijing Informat Sci & Technol Univ Sch Informat & Commun Engn Inst Beijing 100101 Peoples R China Beijing Informat Sci & Technol Univ Beijing Key Lab High Dynam Nav Technol Beijing 100101 Peoples R China

This paper proposes a planar projection dv-hop location algorithm (PTCdv-hop) based on the LED semi-angle at half power (SAHP, which accounts for LED SAHP characteristics in visible light communication (VLC)) and uses the dv-hop algorithm for range-free localization. Distances between source nodes and nodes positioned in three-dimensional indoor space are projected onto a two-dimensional plane to reduce complexity. Circles are structured by assigning source nodes (projected onto the horizontal plane of the assigned nodes) to be centers and the projection distances as radii. The proposed PTCdv-hop algorithm then determines the position of node location coordinates using the trilateralweighted-centroid algorithm. Simulation results show localization errors of the proposed algorithm are on the order of magnitude of a millimeter when three sources are used. The PTCdv-hop algorithm has higher positioning accuracy and stronger dominance than the traditional dv-hop algorithm.

关键词： dv-hop algorithm indoor positioning semi-angle at half power (SAHP) visible light communication(VLC)

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An ensemble approach for improving localization accuracy in wireless sensor network

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COMPUTER NETWORKS 2022年 219卷

作者： Tripathy, Pujasuman Khilar, P. M. Natl Inst Technol Dept Comp Sci & Engn Rourkela 769008 Odisha India

A wireless sensor network (WSN) consists of many small, low cost and less computational power sensor nodes. These nodes are uniformly or randomly deployed for gathering vital information from the environment. It is crucial to identify the exact and accurate position of the sensor node as it helps in efficient communication between unknown and known (beacon) nodes. Localization has many applications, such as rescue, traffic controlling and monitoring, underwater cultivation, surveillance, and target tracking. It is also used in day-to-day life in the form of GPS to guide people in their travel. Hence, to avail of the accurate service from localization, the exact position of the sensor is needed. In this work, an ensemble approach is proposed using both dv-hop and a weighted amorphous algorithm to enhance localization accuracy. Two distance measurements are calculated to obtain the distance from an unknown node to the beacon node by considering hop value and size. Finally, the probabilistic distance estimation is applied to the obtained distances to get the actual distance. Proposed approach is compared with the traditional amorphous and three other improved amorphous algorithms and provides higher accuracy in terms of MAE, MSE, and RMSE.

关键词： Localization Wireless Sensor Network (WSN) dv-hop algorithm Amorphous algorithm Mean Absolute Error(MAE) Mean Square Error(MSE) Root Mean Square Error(RMSE)

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Wireless Sensor Node Localization algorithm Based on Particle Swarm Optimization and Quantum Neural Network

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INTERNATIONAL JOURNAL OF ONLINE ENGINEERING 2018年第10期14卷 230-240页

作者： Liu, Yulong Yu, Xiaoming Hao, Yuhua Yancheng Inst Technol Sch Math & Phys Yancheng 224051 Peoples R China

Aiming at the problem of node localization in wireless sensor networks, a location algorithm for optimizing distance vector hopping (dv-hop) by constructing a quantum neural network model based on particle swarm optimization (PSO) is proposed. According to the average distance obtained by the traditional dv-hop and the distance from the measured nodes, the quantum neural network model is constructed, and the average distance is trained by the particle swarm optimization algorithm which would shorten the training time of the traditional artificial neural network and accelerate the convergence speed. By using the proposed model, the optimal mean value is obtained, and the optimization of the dv-hop algorithm is realized. The simulation results show that compared with the traditional dv-hop algorithm, the proposed algorithm can reduce the positioning error by about 20%, and the positioning accuracy is significantly improved.

关键词： wireless sensor networks quantum neural network particle swarm optimization dv-hop algorithm

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3D sensor network location spatial positioning technology based on machine learning

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INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS 2023年第1期24卷 13-23页

作者： Lu, Zhiyong Tan, Xiaodan Southern Med Univ Sch Biomed Engn Guangzhou 510515 Guangdong Peoples R China Guangdong Vocat Coll Elect Technol Guangzhou 510515 Guangdong Peoples R China

The purpose of this paper is to combine machine learning to locate the 3D sensor network space. Real life is mostly a three-dimensional environment. Whether it is a factory in manufacturing or a vegetation base in agriculture, it needs to be monitored and positioned. In this paper, the localization algorithm is discussed to a certain extent. This paper firstly introduces the relevant background and organizes related work. It also wrote related algorithms, such as ranging-based positioning algorithms in the free space of wireless sensors. It shows the positioning link by introducing the wireless sensor network structure system and node structure. And this paper summarizes the Bounding-box Method positioning principle, TDOA algorithm principle, and TDOA positioning principle. It then describes the gradient boosting tree classification algorithm based on machine learning, and focuses on the admiral boosting tree classification algorithm related to the experiment. This paper also describes the ranging technology combining RSSI algorithm and dv-hop algorithm in three-dimensional space, and mentions two algorithms of RSSI and dv-hop. In the fourth part, the machine learning coordinate prediction accuracy improvement experiment and the three-dimensional space positioning algorithm optimization experiment and result analysis are carried out. It is proved by experiments that the model evaluation effect of the gradient boosting tree classification algorithm in machine learning is the best. It can be applied to the calculation of relative position coordinates of label nodes. It then carried out the three-dimensional positioning effect test experiment of Idv-hop algorithm. This shows that when the network density in the experimental environment reaches more than 12, the localization coverage of Idv-hop algorithm and dv-hop algorithm are both higher than 91%. Finally, the hybrid algorithm of RSSI and dv-hop algorithm is used to compare the positioning accuracy, positioning cover

关键词： 3D sensor network dv-hop algorithm gradient boosting tree algorithm hybrid algorithm localization algorithm machine learning

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Iterative L-M algorithm in WSN - Utilizing Modifying Average hopping Distances

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INTERNATIONAL JOURNAL OF ONLINE ENGINEERING 2017年第10期13卷 4-20页

作者： Qiao, Xin Yang, Han-Sheng Wang, Zheng-Chuang Chaohu Univ Sch Mech & Elect Engn Chaohu 238000 Anhui Peoples R China

Wireless Sensor Networks (WSN) are getting more and more attention for various applications. In addition, localization plays an important role in WSN. This article focus on the large errors of dv-hop (Distance Vector-hop) localization algorithm in net topology of randomly distributed notes. A CLdv-hop (Correct Levenberg Marquardt dv-hop) algorithm in dv-hop based on modifying average hopping distances is proposed. Firstly, hop count threshold is to optimize the anchor node during a data exchange. The weighted average hop distance of unknown nodes nearest the three anchor nodes are selected as its average hop distance according to the minimum mean square criteria. Finally, L-M (Levenberg Marquardt) algorithm is used to optimize the coordinate of unknown node estimated by least squares. The simulation results show that, under the conditions of existing overhead and for a given simulation environment, CLdv-hop algorithm has higher positioning accuracy than existing improved algorithms. The accuracy is improved 33%-41% compared with dv-hop algorithm.

关键词： wireless sensor networks dv-hop algorithm localization L-M algorithm

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