2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)最新文献_第8页

An Energy-Efficient Distributed Adaptive Cooperative Routing in Wireless Multimedia Sensor Networks 无线多媒体传感器网络中一种节能的分布式自适应协同路由

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905401

Jian Liu, Denghui Wang, Junhui Zhao

引用次数: 2

Image Representation Using Variants of Principal Component Analysis: A Comparative Study 使用主成分分析变体的图像表示:比较研究

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905294

Abubakar Siddique, Isma Hamid, Weisheng Li, Qamar Nawaz, S. M. Gilani

引用次数: 0

Data-driven Vehicular Communications in Urban Vehicular Network 城市车联网中数据驱动的车辆通信

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905402

Wen Zhang, Zhengyang Zhou, Chuancai Ge, Pengkun Wang

{"title":"Data-driven Vehicular Communications in Urban Vehicular Network","authors":"Wen Zhang, Zhengyang Zhou, Chuancai Ge, Pengkun Wang","doi":"10.1109/ICCSN.2019.8905402","DOIUrl":"https://doi.org/10.1109/ICCSN.2019.8905402","url":null,"abstract":"Vehicular communications, referring to data packets exchange among vehicles and infrastructures, have attracted a lot of attention recently because of its contributions in intelligent transportation systems. Due to the complexity of large-scale network topology and dynamic of mobile nodes, vehicular communication is difficult to be established in an ultra-reliable and low-latency way. Existing efforts of vehicular communications mainly focused on historical trajectories and perform experiments on simulated road networks with free moving vehicles, or just analyze a limited scope of traffic pattern over public vehicles. However, previous studies ignored the traffic pattern of urban private vehicles, leading to a narrow perception for data transmission. To make up for this blind spot, we propose a data-driven method for vehicular communications by analyzing the traffic pattern of urban vehicles. We model the urban vehicles traffic pattern by deep neural networks and clustering technique is applied to enhance the ability of collecting data for vehicles. Additionally, to deal with the unbalanced traffic load in road networks, we devise a novel method to detect the appropriate location for deploying auxiliary WiFi-spots to help data transmission in low traffic load area. Therefore, our solution enables the data packets to be transmitted in an optimal way thus comprehensive and valuable information is collected for guiding the transmission. Our proposed method outperforms the state-of-the-art vehicular communication methods in terms of diffusion speed and range in urban vehicular networks.","PeriodicalId":330766,"journal":{"name":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124486643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Classification of Road Traffic Accident Data Using Machine Learning Algorithms 使用机器学习算法的道路交通事故数据分类

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905362

Bulbula Kumeda, Fengli Zhang, Fan Zhou, Sadiq Hussain, Ammar Almasri, Maregu Assefa

{"title":"Classification of Road Traffic Accident Data Using Machine Learning Algorithms","authors":"Bulbula Kumeda, Fengli Zhang, Fan Zhou, Sadiq Hussain, Ammar Almasri, Maregu Assefa","doi":"10.1109/ICCSN.2019.8905362","DOIUrl":"https://doi.org/10.1109/ICCSN.2019.8905362","url":null,"abstract":"The dramatic increase in road traffic accidents in the world is causing serious problems in every aspect of human lives. The most important and meaningful nature of traffic characteristics, causation analysis, and associations between different causal factors have been ignored. Moreover, the traffic accident data is only used to conduct a rudimentary statistical analysis and data mining efforts which results only in patterns and statistics. The main targets of this road accident data classification are to identify the major and key factors that cause the road traffic accident and form policies and preventive actions that would reduce the accident severity level. Machine learning algorithms are used to analyze the data, extract hidden patterns, predict the severity level of the accidents and summarize the information in a useful format. In this work, we have applied different machine learning classification algorithms and discussed here the six algorithms with high accuracy and best classification performances such as Fuzzy-FARCHD, Random Forest, Hierarchal LVQ, RBF Network (Radial Basis Function Network), Multilayer Perceptron, and Naïve Bayes on road traffic accident data set obtained from UK road traffic accident of the year 2016. The data set contains information on all road accident casualties across Calderdale. The results from our analysis show that Fuzzy-FARCHD algorithm is effective to classify the dataset and achieves an accuracy of 85.94%. In this work, we have revealed that Lighting Conditions, 1st Road Class & No., Number of vehicles are the key features in selecting the attributes.","PeriodicalId":330766,"journal":{"name":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124498665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

DSDV and AODV Protocols Performance in Internet of Things Environment 物联网环境下的DSDV和AODV协议性能

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905256

Saqib Daud, S. Gilani, M. S. Riaz, Asif Kabir

{"title":"DSDV and AODV Protocols Performance in Internet of Things Environment","authors":"Saqib Daud, S. Gilani, M. S. Riaz, Asif Kabir","doi":"10.1109/ICCSN.2019.8905256","DOIUrl":"https://doi.org/10.1109/ICCSN.2019.8905256","url":null,"abstract":"The Internet of Things (IoT) devices can be identified and controlled intelligently irrespective of its location, across the world to develop more easiness to human lives. The IoT devices constantly forward a large amount of data towards sink nodes which requires extensive routing. Thus, routing is an important aspect of the IoT. This paper presents a performance analysis of two well-known routing protocols: (a) Destination Sequenced Distance Vector routing (DSDV), and (b) Ad hoc On Demand Distance Vector routing (AODV) in the Vehicular Ad hoc network (VANET) based IoT environment. Here, we propose a new scenario in which Constant Bit Rate (CBR) sources increases incrementally and reaches half out of the total nodes whereas the other nodes which are kept stationary decreases exponentially. The total number of nodes in the topology remains constant. The CBR source nodes move with variable speed to different waypoints as destinations at different times. The performance of above- mentioned protocols has been analyzed in our new proposed scenario, keeping in view the TCP Reno and UDP. The comparison among these two routing protocols has been done on the basis of delay, jitter, packet dropped ratio, throughput transferred and generated throughput.","PeriodicalId":330766,"journal":{"name":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121382901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Secure Beamforming and Artificial Noise Design in Full-Duplex Wireless-Powered Relay Networks 全双工无线中继网络中的安全波束形成和人工噪声设计

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905329

Peipei Chen, Taoshen Li, Xing Fang

引用次数: 3

Research on Security Protection of Key Information Infrastructure in Optical Networks 光网络关键信息基础设施安全保护研究

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905305

Renzheng Shuai, Zhang Yinfa, Xia Guijin, Rao Xuejun, Wang Xiaoshuang

引用次数: 0

An Environmental Friendly Routing with Channel Allocation for Underwater WSNs 基于信道分配的水下无线传感器网络环境友好路由

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905328

Hao Su, Yujie Qian, Jie Zhang

{"title":"An Environmental Friendly Routing with Channel Allocation for Underwater WSNs","authors":"Hao Su, Yujie Qian, Jie Zhang","doi":"10.1109/ICCSN.2019.8905328","DOIUrl":"https://doi.org/10.1109/ICCSN.2019.8905328","url":null,"abstract":"For decades, along with more and more countries paying attention to the exploitation of marine resources, underwater wireless sensor networks (UWSNs) have become a promising technology in monitoring marine environment and exploring the oceans. Due to the characteristics of water medium, acoustic communication is regard as the best choice for UWSNs. However, some marine mammals also communicate bu using acoustic signal and the frequencies of the natural acoustic systems are heavily overlapped with the frequencies used by underwater acoustic networks (UAN). As an improvement of our previous work VMOPR (a virtual void-based marine organism protection routing protocol), in this paper, we propose an environment friendly protection routing protocol with channel allocation for UWSNs aming to avoid the harmful interference with marine mammals. Considering the restriction of noise and practical link capacity, a channel allocation algorithm is designed to achieve the maximum utilization of limited frequencies. Simulation results show that the proposed scheme outperforms the counterparts EEIAR and VBF protocol in terms of throughput and energy efficiency when taking marine mammals and transmission constraints into account.","PeriodicalId":330766,"journal":{"name":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127228681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Modelling and Optimization Algorithm for Dynamic Volume of Access to VOD Business in Ubiquitous Wireless Environment 无所不在无线环境下VOD业务动态访问量建模与优化算法

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905386

Hui Zhang, Yejun Sun, Yaxiang Lou, Haitao Zhao, Hongbo Zhu, Yanfei Sun

{"title":"Modelling and Optimization Algorithm for Dynamic Volume of Access to VOD Business in Ubiquitous Wireless Environment","authors":"Hui Zhang, Yejun Sun, Yaxiang Lou, Haitao Zhao, Hongbo Zhu, Yanfei Sun","doi":"10.1109/ICCSN.2019.8905386","DOIUrl":"https://doi.org/10.1109/ICCSN.2019.8905386","url":null,"abstract":"In the wireless ubiquitous environment, this paper analyses and models the dynamic volume of access to VOD business. This paper also proposes a wireless business optimization algorithm that enables the CDN edge server to help the core network to divert pressure of user's access best. Firstly, a probability model of the daily volume of access is defined, based on video's score and video's online time. Further, a function relationship between the parameter of the model and the joint conditions above is established to accurately reflect the average value of the daily volume of access. On this basis, the predicted value of the daily volume of access to any video under a certain guarantee probability is obtained. Then, an optimization model for distribution and download of videos is built for the edge server of CDN with limited storage space. A distribution and download scheme of videos based on 0–1 knapsack algorithm is proposed. The simulation results verify the correctness of the model of volume of access and the effectiveness of the optimization algorithm.","PeriodicalId":330766,"journal":{"name":"2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125388540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human and Vehicle Attenuations for Millimeter-wave Channels 毫米波信道的人类和车辆衰减

2019 IEEE 11th International Conference on Communication Software and Networks (ICCSN) Pub Date : 2019-06-01 DOI: 10.1109/ICCSN.2019.8905321

Pao-Jen Wang, Po-Yu Lee, Chi-Min Li

引用次数: 0