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Optimization of MAC algorithm based on IEEE 802.15.4 in indoor positioning system

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High Technology Letters 2021年第1期27卷 86-94页

作者： Sun Guanyu qin danyang Lan Tingting Key Laboratory of Electronic and Communication Engineering Heilongjiang UniversityHarbin 150080P.R.China

The mobility of the targets asks for high requirements of the locating speed in indoor positioning *** standard medium access control(MAC)algorithm will often cause lots of packet conflicts and high transmission delay if multiple users communicate with one beacon at the same time,which will severely limit the speed of the ***,an optimized MAC algorithm is proposed based on channel reservation to enable users to reserve beacons.A frame threshold is set to ensure the users with shorter data frames do not depend on the reservation mechanism,and multiple users can achieve packets switching with relative beacon in a fixed sequence by using frequency division multiplexing *** simulation results show that the optimized MAC algorithm proposed in this paper can improve the positioning speed significantly while maintaining the positioning ***,the positioning accuracy can be increased to a certain extent if more channel resources can be obtained,so as to provide effective technical support for the location and tracking applications of indoor moving targets.

关键词： medium access control(MAC)algorithm indoor positioning multi-channel fingerprint identification IEEE 802.15.4

Detecting and adaptive responding mechanism for mobile WSN

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High Technology Letters 2020年第3期26卷 323-334页

作者： Zhao Min qin danyang Guo Ruolin Xu Guangchao Key Laboratory of Electronic and Communication Engineering Heilongjiang UniversityHarbin 150080P.R.China

Mobile wireless sensor network(WSN)composed by mobile terminals has a dynamic topology and can be widely used in various ***,the lack of centralized control,dynamic topology and limited energy supply make the network layer of mobile WSN be vulnerable to multiple attacks,such as black hole(BH),gray hole(GH),flooding attacks(FA)and rushing attacks(RU).Existing researches on intrusion attacks against mobile WSN,currently,tend to focus on targeted detection of certain types of *** defense methods also have clear directionality and is unable to deal with indeterminate intrusion ***,this work will design an indeterminate intrusion attack oriented detecting and adaptive responding mechanism for mobile *** proposed mechanism first uses a test sliding window(TSW)to improve the detecting accuracy,then constructs parameter models of confidence on attack(COA),network performance degradation(NPD)and adaptive responding behaviors list,finally adaptively responds according to the decision table,so as to improve the universality and flexibility of the detecting and adaptive responding *** simulation results show that the proposed mechanism can achieve multiple types of intrusion detecting in multiple attack scenarios,and can achieve effective response under low network consumption.

关键词： mobile wireless sensor network(WSN) network security intrusion detection adaptive response

An effective indoor radio map construction scheme based on crowdsourced samples

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High Technology Letters 2020年第4期26卷 390-401页

作者： Guo Ruolin qin danyang Zhao Min Xu Guangchao Provincial Key Laboratory of Electronic Engineering Heilongjiang UniversityHarbin 150080P.R.China

The crowdsourcing-based WLAN indoor localization system has been widely promoted for the effective reduction of the workload from the offline phase data collection while constructing radio *** at the problem of the inaccurate location annotation of the crowdsourced samples,the existing invalid access points(APs)in collected samples,and the uneven sample distribution,as well as the diverse terminal devices,which will result in the construction of the wrong radio map,an effective WLAN indoor radio map construction scheme(WRMCS)is proposed based on crowdsourced *** WRMCS consists of 4 main modules:outlier detection,key AP selection,fingerprint interpolation,and terminal device ***,an online localization algorithm is put forward to estimate the position of the online test *** simulation results show that the proposed scheme can achieve higher localization accuracy than the peer schemes,and possesses good effectiveness and robustness at the same time.

关键词： localization fingerprint crowdsourced samples radio map fingerprint interpolation

Research on Link Duration for Mobile Multihop Communication Networks

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China Communications 2016年第8期13卷 159-168页

作者： danyang qin Shuang Jia Songxiang Yang Erfu Wang Qun Ding Key Laboratory of Electronics Engineering College of Heilongjiang University

Mobile multihop communication network is an important branch of modern mobile communication system, and is an important technical support for ubiquitous communication. The random movement of the nodes makes the networking be more flexible, but the frequently changing topology will decrease the link duration between nodes significantly, which will increase the packets loss probability and affect the network communication performance. Aiming at the problem of declining link duration caused by nomadic characteristics in mobile multihop communication network, four link duration models for possible moving states are established based on different features in real networking process in this paper, which will provide reliable criterion for the optimal routing selection. Model analysis and simulation results show that the reliable route established by the proposed model will effectively extend the link duration, and can enhance the global stability of the mobile multihop information transmission, so as to provide new option to transmission reliability improvement for the mobile communication network.

关键词： multihop mobile networks link duration network reliability node mobility models

Research on color image matching method based on feature point compensation in dark light environment

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High Technology Letters 2023年第1期29卷 78-86页

作者：唐华鹏 qin danyang YAN Mengying YANG Jiaqiang ZHANG Gengxin School of Electronic Engineering Heilongjiang UniversityHarbin 150080P.R.China

Image matching refers to the process of matching two or more images obtained at different time,different sensors or different conditions through a large number of feature points in the *** present,image matching is widely used in target recognition and tracking,indoor positioning and *** features missing,however,often occurs in color images taken in dark light,making the extracted feature points greatly reduced in number,so as to affect image matching and even fail the target *** unsharp masking(USM)based denoising model is established and a local adaptive enhancement algorithm is proposed to achieve feature point compensation by strengthening local features of the dark image in order to increase amount of image information *** library for approximate nearest neighbors(FLANN)and random sample consensus(RANSAC)are image matching *** results show that the number of effective feature points obtained by the proposed algorithm from images in dark light environment is increased,and the accuracy of image matching can be improved obviously.

关键词： dark light environment unsharp masking(USM) denoising model feature point compensation fast library for approximate nearest neighbor(FLANN) random sample consensus(RANSAC)

Multi-label learning algorithm with SVM based association

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High Technology Letters 2019年第1期25卷 97-104页

作者： Feng Pan qin danyang Ji Ping Ma Jingya Zhang Yan Yang Songxiang Key Laboratory of Electronic and Communication Engineering Heilongjiang University School of Electronics and Information Engineering Harbin Institute of Technology

Multi-label learning is an active research area which plays an important role in machine learning. Traditional learning algorithms, however, have to depend on samples with complete labels. The existing learning algorithms with missing labels do not consider the relevance of labels, resulting in label estimation errors of new samples. A new multi-label learning algorithm with support vector machine(SVM) based association(SVMA) is proposed to estimate missing labels by constructing the association between different labels. SVMA will establish a mapping function to minimize the number of samples in the margin while ensuring the margin large enough as well as minimizing the misclassification probability. To evaluate the performance of SVMA in the condition of missing labels, four typical data sets are adopted with the integrity of the labels being handled manually. Simulation results show the superiority of SVMA in dealing with the samples with missing labels compared with other models in image classification.

关键词： multi-label learning missing labels association support vector machine(SVM)

A fast local routing repair scheme for wireless mobile ad hoc network

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Science China(Information Sciences) 2011年第1期54卷 111-122页

作者： qin danyang,SHA XueJun & XU YuBin Electronics and Information Engineering School,Harbin Institute of Technology,Harbin 150001,China 1. Electronics and Information Engineering School Harbin Institute of Technology Harbin 150001 China

Mobile ad hoc network(MANET)is a centerless packet radio network which does not use fixed *** has recently received tremendous attention due to its capabilities of self-configuration and ***,attenuation and interference caused by node mobility and wireless channel sharing weaken the stability of communication links.A mathematical exploring model for the next hop has been established based on the optimal exploring *** negative impact of wireless routes discontinuity has been alleviated by a novel fast local routing repair scheme(FLRRS)proposed in this paper,wherein the route requirement zone has been restricted into a pie slice region on intermediate nodes according to the solution of exploring *** scheme is an effective approach in reducing the average end-to-end delay during routing *** also allows continuous packet forwarding for fault ***-2 based simulation results showed remarkable successful packet delivery rate and end-to-end delay improvements of source-initiated routing protocol with the fast local repair scheme,especially in the case of high dynamic environments with heavy traffc loads.

关键词： FLRRS optimal exploration parabolic partial differential equation fault resilience MANET

Study on key management scheme for heterogeneous wireless sensor networks

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High Technology Letters 2018年第4期24卷 343-350页

作者： qin danyang Ma Jingya Zhang Yan Yang Songxiang Ji Ping Feng Pan Key Lab of Electronic and Communication Engineering Heilongjiang University

Heterogeneous wireless sensor network( HWSN) is composed of different functional nodes and is widely applied. With the deployment in hostile environment,the secure problem of HWSN is of great importance; moreover,it becomes complex due to the mutual characteristics of sensor nodes in HWSN. In order to enhance the network security,an asymmetric key pre-distributed management scheme for HWSN is proposed combining with authentication process to further ensure the network security; meanwhile,an effective authentication method for newly added nodes is presented. Simulation result indicates that the proposed scheme can improve the network security while reducing the storage space requirement efficiently.

关键词： heterogeneous wireless sensor network(HWSN) key management authentication network security storage space

基于四维结构化设计的专业学位研究生招生考试复试改革的探索与实践

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黑龙江教育（理论与实践） 2023年第2期 18-20页

作者：秦丹阳黑龙江大学电子工程学院黑龙江哈尔滨150080

专业学位研究生教育是培养高层次、应用型专门人才的主渠道,科学、全面、高效的研究生复试考核是实现专业学位研究生高质量培养的先决要素。文章从主体维度、内容维度、程序维度和评分维度设计了面向专业学位研究生复试面试的四维结构... 详细信息

专业学位研究生教育是培养高层次、应用型专门人才的主渠道,科学、全面、高效的研究生复试考核是实现专业学位研究生高质量培养的先决要素。文章从主体维度、内容维度、程序维度和评分维度设计了面向专业学位研究生复试面试的四维结构化考评体系,设计了复试面试的结构化组建方法、丰富了复试面试题目的结构化设置、优化了线上线下一体化面试流程的结构化部署、拓展了复试面试结果的结构化评价,为相关领域专业学位考评提供了可借鉴的有效途径。

关键词：专业学位复试面试四维结构化人才培养