Proceedings of the 2021 9th International Conference on Communications and Broadband Networking最新文献

Study on Dynamic Optimization and Control Algorithm of Overlapping Phase of the Traffic Flow 交通流重叠相位动态优化与控制算法研究

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3456434

Zijun Liang, Haoyun Liu, W. Kong, Ting-ting lv

{"title":"Study on Dynamic Optimization and Control Algorithm of Overlapping Phase of the Traffic Flow","authors":"Zijun Liang, Haoyun Liu, W. Kong, Ting-ting lv","doi":"10.1145/3456415.3456434","DOIUrl":"https://doi.org/10.1145/3456415.3456434","url":null,"abstract":"In order to further improve the control efficiency of urban intersections, this paper took overlapping phase of the traffic flow as the optimization object, and put forward the dynamic optimization and control algorithm of overlapping phase of the traffic flow at intersection. This algorithm based on the compatibility relation of traffic flow, built the overlapping phase set of traffic flow, according to the switching structure of overlapping phase of the traffic flow, established the intersection benefit function, the traffic flow was dynamically selected to form the overlapping phase according to the minimum queue delay, the timing of the overlapping phase was further optimized with the minimum queue delay as the optimization objective, so as to realize the dynamic optimization and control of the overlapping phase of traffic flow. Finally, the intersection of Huang Shan road and Tian Zhi road in Hefei was tested. The experimental result showed that, after using the algorithm of this paper, the average delay and stop were greatly reduced compared with the method of the fixed-time control and the actuated control when the traffic flow was unevenly distributed and fluctuated at intersection.","PeriodicalId":422117,"journal":{"name":"Proceedings of the 2021 9th International Conference on Communications and Broadband Networking","volume":"851 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115644822","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

Broadband Miniaturized Dual-linear Polarization Antenna Based on Short Circuit Loading 基于短路加载的宽带小型化双线极化天线

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3456461

Jianjiao Yu, Xinquan Geng, Huili Zheng

引用次数: 0

Flexible Routing Strategy for Low-latency Transmission in Software Defined Network 软件定义网络中低延迟传输的灵活路由策略

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3456444

Zixuan Zhao, Shuai Gao, Ping Dong

{"title":"Flexible Routing Strategy for Low-latency Transmission in Software Defined Network","authors":"Zixuan Zhao, Shuai Gao, Ping Dong","doi":"10.1145/3456415.3456444","DOIUrl":"https://doi.org/10.1145/3456415.3456444","url":null,"abstract":"Some Internet applications require the network to provide the necessary low-latency performance. However, in traditional IP networks, protocols such as RIP and OSPF cannot provide such flexible services.Currently, there are mainly two methods to achieve low-latency services.The first is to reserve resources for target traffic, which cannot fully use network resources. The second is to use gating mechanism. The gating schedule is complicated to calculate and requires clock synchronization with high precision, so it is mainly used in specific scenarios. To improve the latency performance of network and allocate resources reasonably, this paper proposes a flexible routing strategy based on Segment Routing and network telemetry technology(FRST), which dynamically selects routes according to the delay performance requirements of the target traffic. It sets the trigger threshold for path update to avoid routing fluctuations and uses the active/standby forwarding table mechanism to reduce the packet loss rate in dynamic scenarios. We conduct experiments under the Software Defined Network (SDN) with P4 programmable platform and open network operating system (ONOS), and the results show that FRST improves network latency and throughput performance.","PeriodicalId":422117,"journal":{"name":"Proceedings of the 2021 9th International Conference on Communications and Broadband Networking","volume":"12 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113967560","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

Predicting Spatial Distribution of Radio Signals using XGBoost 利用XGBoost预测无线电信号的空间分布

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3456442

Haijia Jin, Wen Ye, S. Xiong, Pengchao Cheng

{"title":"Predicting Spatial Distribution of Radio Signals using XGBoost","authors":"Haijia Jin, Wen Ye, S. Xiong, Pengchao Cheng","doi":"10.1145/3456415.3456442","DOIUrl":"https://doi.org/10.1145/3456415.3456442","url":null,"abstract":"Radio propagation models can predict the spatial distribution and strength of radio signals by simulating their propagation characteristics over coverage areas. Since the empirical propagation model with fixed structure is not suitable for complex environments due to its low prediction precision, and the ray tracing propagation model brings high cost for geographic scenario modeling, this paper proposes a data-driven radio propagation model based on machine learning. The model's input features are extracted following Non-Line-of-Sight propagation of radio signals, the scenario-spanning model structure is designed using XGBoost, and the model is trained with driving test data. We used practical measurement data collected in urban areas to evaluate the model, and it is demonstrated that the root mean square error of model prediction is no more than 10.33dB. The prediction accuracy of the proposed propagation model is better than that of empirical ones. Moreover, its prediction performance is close to that of ray tracing models, while its modeling cost is lower than that of ray tracing ones. Therefore, this model is a feasible and efficient approach for radio prediction in complex urban environment.","PeriodicalId":422117,"journal":{"name":"Proceedings of the 2021 9th International Conference on Communications and Broadband Networking","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134149266","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

Microwave Ablation Monitoring based on Automatic Segmentation of Ultrasonic Harmonic Envelope Nakagami Parametric Imaging 基于超声谐波包络线自动分割的微波消融监测中上参量成像

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3456524

Zhu Yuxin, Z. Yufeng, Han Suya, L. Zhiyao, Dong Yifeng

{"title":"Microwave Ablation Monitoring based on Automatic Segmentation of Ultrasonic Harmonic Envelope Nakagami Parametric Imaging","authors":"Zhu Yuxin, Z. Yufeng, Han Suya, L. Zhiyao, Dong Yifeng","doi":"10.1145/3456415.3456524","DOIUrl":"https://doi.org/10.1145/3456415.3456524","url":null,"abstract":"Effective monitoring of the ablation region is important in microwave ablation surgery, and it is the key to the success of the operation. The Nakagami parameter imaging of ultrasonic harmonic envelope signals can realize non-invasive monitoring of the ablation process, but it cannot estimate the ablation center and the ablation region accurately. A Gaussian approximation adaptive threshold segmentation (GATS) method based on ultrasonic harmonic envelope of Nakagami parameter images is proposed to monitor the microwave ablation regions accurately. First, the high-pass filter is used to obtain the harmonic components of the ultrasound echo RF signals. Then the Nakagami shape parameters of harmonic signal envelopes are estimated and Nakagami parameter images are generated by composite window. Nakagami parameter image is processed by Gaussian approximation to estimate the ablation region. Then the anisotropic smoothing is performed on the approximated image, and the adaptive threshold segmentation is used in smoothed image to obtain the estimate ablation region accurately. In order to verify the effectiveness of the GATS method, ultrasonic radio frequency echo signals of microwave ablation were collected from 10 groups of pig liver samples. From the results of the estimated ablation region compares with actual sample pig liver ablation region, the long-axis and short-axis average relative errors are 2.06 %, 3.38 %, 5.67 % and 2.15 %, 4.07 %, 5.36 % respectively. In summary, the estimated ablation region obtained by GATS of P-M algorithm can estimate the ablation region and boundary more accurately.","PeriodicalId":422117,"journal":{"name":"Proceedings of the 2021 9th International Conference on Communications and Broadband Networking","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133423964","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

Application of MIMO Coil-Array in Underground Magnetic Induction Communication MIMO线圈阵列在地下磁感应通信中的应用

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3456463

Baoheng Liu, Tianhui Fu, Yongbin Wang

引用次数: 0

Clustering-Based Data Collection Using Concurrent Transmission in Wireless Sensor Network 基于聚类的无线传感器网络数据采集并发传输

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3456526

Yang Zhang, Jinzhi Liu, Pengzhi Li, K. Lin, Bing Wu, Qin Sun

{"title":"Clustering-Based Data Collection Using Concurrent Transmission in Wireless Sensor Network","authors":"Yang Zhang, Jinzhi Liu, Pengzhi Li, K. Lin, Bing Wu, Qin Sun","doi":"10.1145/3456415.3456526","DOIUrl":"https://doi.org/10.1145/3456415.3456526","url":null,"abstract":"This paper presents a cluster based data collection protocol for wireless sensor network. Constructive interference based flooding provides a novel way of global synchronization. Its communication mechanism turns a multi-hop wireless network into a shared network infrastructure. Yet, since transmission of each single message involves a flooding process over whole network, it suffers from scalability problems, and hence it is difficult to achieve comparable data transfer capacity, especially for densely deployed network. Furthermore, increasing numbers of transmitting nodes jeopardize the reliability of concurrent transmission. This paper proposes to tackle the problem from the viewpoint of clustering. The use of concurrent transmission in clustering-based data collection has not been explored in literature. Herein, a heuristic algorithm is designed from the viewpoints of balance and connectivity to carry out network clustering process. The prototype is implemented on Tmote Sky sensor node with Contiki operating system. The efficiency has been verified with almost 100% data collection on a deployed testbed consisting of 30 sensor nodes. Extensive simulations are also conducted to investigate the protocol performance in a fine-grained way.","PeriodicalId":422117,"journal":{"name":"Proceedings of the 2021 9th International Conference on Communications and Broadband Networking","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132980263","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

An Improved Collaborative Filtering Algorithm based on Dimension Reduction and Improved Clustering 一种基于降维和改进聚类的改进协同过滤算法

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3457220

Zhong-sheng Wang, Juxiang Zhou, Jianhou Gan, Jun Wang

{"title":"An Improved Collaborative Filtering Algorithm based on Dimension Reduction and Improved Clustering","authors":"Zhong-sheng Wang, Juxiang Zhou, Jianhou Gan, Jun Wang","doi":"10.1145/3456415.3457220","DOIUrl":"https://doi.org/10.1145/3456415.3457220","url":null,"abstract":"Aiming at the problems of sparse rating data, complex similarity calculation and low recommendation accuracy in traditional collaborative filtering recommendation algorithm when processing large-scale data, this paper proposes a new improved collaborative filtering recommendation algorithm. Based on the traditional collaborative filtering algorithm, this algorithm first uses the PCA algorithm to reduce the dimension of the sparse user-item rating matrix; secondly, the dimension-reduced rating matrix is combined with user attributes to construct a matrix containing both ratings and user attributes, according to the matrix, bisecting K-means clustering is performed from the two dimensions of user and item respectively; then, collaborative filtering recommendation is performed from the two dimensions of user and item respectively; finally, weighted integration of the predicted score results of the two dimensions of the user and the item obtains the final predicted score. Experiments using MovieLens100K dataset show that the algorithm proposed in this paper improves the quality of system recommendations.","PeriodicalId":422117,"journal":{"name":"Proceedings of the 2021 9th International Conference on Communications and Broadband Networking","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125193390","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

Hybrid Optical and Wireless System Using RoF-PON Based on OCS Modulation 基于OCS调制的RoF-PON混合光无线系统

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3456523

Liwei Yang, Qi Zhang, Yue Wang, Yuqi Luo, Wenjie Zhang

引用次数: 1

Design of Blockchain Smart Contract Based on Ring Signature 基于环签名的区块链智能合约设计

Proceedings of the 2021 9th International Conference on Communications and Broadband Networking Pub Date : 2021-02-25 DOI: 10.1145/3456415.3457223

Hongzhi Yang, L. Yuan, Shu Wang

引用次数: 1