The Improvement Based on the DV-Hop Localization Algorithm for Wireless Sensor Networks by DONG Jing-wei, YANG Guang, LIU Yang, Zhang Tian-qi

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Practical Link Duration Prediction Model in Vehicular Ad Hoc Networks by Xiufeng Wang, Chunmeng Wang, Gang Cui, Qing Yang

“…Link duration prediction is one of the most fundamental problems in vehicular ad hoc networks (VANETs) as it determines the network performance of many vehicular applications. …”
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An Approach to Evaluating Computer Network Security with Intuitionistic Trapezoidal Fuzzy Information by Ming Xue

“…We investigate the multiple attribute decision-making problems for evaluating the computer network security with intuitionistic trapezoidal fuzzy information. …”
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FRER mechanism based on frame preservation caching in time-sensitive networking by CAI Yueping, HU Shaoliu, HAN Xiao

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Incentive mechanism based on auction model for mobile crowd sensing network by Yuanni LIU, Yaoxi LI, Huicong LI, Wanlin LI, Jianhui ZHANG, Guofeng ZHAO

“…The selfishness and uncertainty of user behaviors in the mobile crowd sensing network make them unwilling to participate in sensing activities,which may result to a lower sensing task completion rate.To deal with these problems,an incentive mechanism based on auction model was proposed.In order to maximize the utility of each user,the proposed incentive method based on reverse auction (IMRA) leveraged a task-centric method to choose winners,and payed them according to a critical-price strategy.Furthermore,the proposed user-bidirectional interaction incentive mechanism (UBIM) helped drop-out users (buyers) to transfer their unfinished tasks to new users.Simulation results show that,compared with TRAC and IMC-SS,IMRA can achieve a better performance in terms of average user utility and tasks coverage ratio,and the task completion ratio can also be improved by UBIM.…”
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Routing optimization method based on GPCR for vehicular Ad Hoc network by Zhiru GU, Min LI, Yonghong LONG, Xiaohua SHU, Qing RONG

“…To improve the performance in sparse networks,local optimum,and routing loop in the greedy perimeter coordinator routing (GPCR) protocol,the weighted-GPCR (W-GPCR) protocol was proposed.The relationship between vehicle node routing and other parameters such as the Euclidean distance between node pairs,moving direction and density was profoundly analyzed,the composite parameter weighted model was established and the calculation method was designed for the existing routing problems,the weighted parameter ratio was selected adaptively in different scenarios,so as to obtain the optimal next-hop relay node.In order to verify the performance of the W-GPCR method,the proposed method was compared with the existing methods such as the traditional geographic perimeter stateless routing (GPSR) protocol,GPCR and so on,and the results show that the proposed method is superior to the package delivery ratio,end-to-end delay,and average hop count.…”
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Research on low-rate DDoS attack of SDN network in cloud environment by Xingshu CHEN, Qiang HUA, Yitong WANG, Long GE, Yi ZHU

“…Aiming at the problems of low-rate DDoS attack detection accuracy in cloud SDN network and the lack of unified framework for data plane and control plane low-rate DDoS attack detection and defense,a unified framework for low-rate DDoS attack detection was proposed.First of all,the validity of the data plane DDoS attacks in low rate was analyzed,on the basis of combining with low-rate of DDoS attacks in the aspect of communications,frequency characteristics,extract the mean value,maximum value,deviation degree and average deviation,survival time of ten dimensions characteristics of five aspects,to achieve the low-rate of DDoS attack detection based on bayesian networks,issued by the controller after the relevant strategies to block the attack flow.Finally,in OpenStack cloud environment,the detection rate of low-rate DDoS attack reaches 99.3% and the CPU occupation rate is 9.04%.It can effectively detect and defend low-rate DDoS attacks.…”
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A Scalable Multi-Target Tracking Algorithm for Wireless Sensor Networks by Songhwai Oh

“…The proposed algorithm has been successfully applied to real-time multi-target tracking problems using wireless sensor networks.…”
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Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks by Mrinal Nandi, Anup Dewanji, Bimal Roy, Santanu Sarkar

“…In this paper, we consider the problems of distributed fault detection in wireless sensor network (WSN). …”
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The Improved Antlion Optimizer and Artificial Neural Network for Chinese Influenza Prediction by Hongping Hu, Yangyang Li, Yanping Bai, Juping Zhang, Maoxing Liu

“…The experimental results show that the proposed IALO outperforms SCA, PSO, MFO, MVO, and ALO according to the average values and the convergence speeds. And the proposed IALO is tested to optimize the parameters of BP neural network for predicting the Chinese influenza and the predicted model is built, written as IALO-BPNN, which is against the models: BPNN, SCA-BPNN, PSO-BPNN, MFO-BPNN, MVO-BPNN, and ALO-BPNN. …”
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Using PAT for Energy Recovery and Pressure Reduction in Water Distribution Networks by Hamed Mohammadi, Mahnaz Ghaeini-Hessaroeyeh, Ehsan Fadaei-Kermani

“…Leakage is one of the main problems of urban water distribution networks. Leakage control and management can play an important role in increasing network efficiency and reducing water loss. …”
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Autonomous and adaptive congestion control for machine-type communication in cellular network by Qi Pan, Xiangming Wen, Zhaoming Lu, Wenpeng Jing, Haijun Zhang

“…Machine-type communications have suffered serious congestion, overload, and poor quality of service problems in cellular networks, since the cellular networks are designed for human-to-human communications. …”
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Functional brain networks develop from a "local to distributed" organization. by Damien A Fair, Alexander L Cohen, Jonathan D Power, Nico U F Dosenbach, Jessica A Church, Francis M Miezin, Bradley L Schlaggar, Steven E Petersen

“…The mature human brain is organized into a collection of specialized functional networks that flexibly interact to support various cognitive functions. …”
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Skin cancer detection using dermoscopic images with convolutional neural network by Khadija Nawaz, Atika Zanib, Iqra Shabir, Jianqiang Li, Yu Wang, Tariq Mahmood, Amjad Rehman

“…The study introduces a deep learning-based network specifically designed for skin lesion detection to enhance data in the melanoma dataset. …”
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Crushed Stone Grain Shapes Classification Using Convolutional Neural Networks by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Irina Razveeva, Alexander L. Mailyan, Diana Elshaeva, Andrei Chernil’nik, Nadezhda I. Nikora, Gleb Onore

“…This study implements methods using convolutional neural networks, which solve an important problem in the construction industry—to classify crushed stone grains by their shape. …”
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Breast cancer pathology image recognition based on convolutional neural network. by Weijian Fang, Shuyu Tang, Dongfang Yan, Xiangguang Dai, Wei Zhang, Jiang Xiong

“…In the recognition process of pathological image categories, the network first recognises each sub-image, and then sums and averages the recognition results of each sub-image to finally obtain the classification result. …”
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Two-Criteria Technique for the Resource-Saving Computing in the Fog and Edge Network Tiers by A. B. Klimenko

“…Based on the proposed model of the two-criteria optimization problem, a method was proposed for resource saving in the edge and foggy layers of the network. …”
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Design of wavelength rotation graph model applied in wavelength switching optical network by ZHAO Ji-jun1, ZHANG Shu-guang1, ZHAO Wen-yu2

“…Based on distributing uniformly virtual network topology links and associated wavelengths to the surface of rotating sphere,a new wavelength rotation graph model of wavelength switching optical network（WSON） was constructed,and a creative method to solve the routing and wavelength assignment（RWA） problems was proposed.The simulation results show that if the wavelength number of each link is set separately to 4 and 8,the average blocking probability of the RWA based on the rotation graph model reduces by 5.03% and 9.71%,and the average resource utilization increases by 3.3% and 1.54% respectively,as compared with the existing model.This method would be useful for solving the problem of optical network RWA which has wavelength conversion capabilities.…”
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Dynamic Routing Method over Hybrid SDN for Flying Ad Hoc Networks by Baghdad Science Journal

“…Few methods have recently been proposed to overcome this problem due to the rapid changes of network topology. …”
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Data Aggregation and Scheduling to Optimize Information Freshness In Multi-Hop IoT Networks by Xueling Wu, Long Qu, Maurice J. Khabbaz

“…The original problem is decomposed into a Restricted Master Problem (RMP) and a Pricing Problem (PP). …”
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