{"title":"Link Awareness Based Networking Scheme of Power Line Carrier and Wireless Converged Communications","authors":"Licheng Wang, Chao Huo, F. Gao, Bo Li","doi":"10.1109/ICCT.2018.8599971","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8599971","url":null,"abstract":"The Power Line Carrier and Wireless Converged Communication has greatly improved the reliability of power terminal communication network, but the problem of topology complexity is still there. With the aim to solve this problem, this paper firstly conducts deep analysis into the network model of the powerline carrier and wireless communication, and proposes a so-called link awareness enabled networking algorithm of this powerline carrier and wireless communication for smart power grid. The proposed algorithm takes full consideration of both kinds of link and the connected degree when conducting networking and topology optimization. Under the environment of intelligent power distribution communication services, evaluation simulation for the proposed algorithm is conducted. Simulation results show that this proposed algorithm can greatly improve the networking efficiency of terminal communication network for smart power grid with better performance in term of communication success rate.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127544501","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}
Jichao Xie, P. Yi, Zhen Zhang, Chuanhao Zhang, Yunjie Gu
{"title":"A Service Function Chain Deployment Scheme Based on Heterogeneous Backup","authors":"Jichao Xie, P. Yi, Zhen Zhang, Chuanhao Zhang, Yunjie Gu","doi":"10.1109/ICCT.2018.8600187","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8600187","url":null,"abstract":"Building a service function chain (SFC) based on Virtual Network Functions (VNFs) greatly improves the flexibility of network service deployment. However, compared to highly reliable carrier-grade proprietary hardware, VNF is facing a series of failure risks. Although the existing backup methods can solve the problem of VNF failure to some extent, malicious attacks can't be stopped totally because there is no consideration of the homogeneity of the original node and the backup nod. In this paper, we propose a heterogeneous backup deployment scheme. It ensures the heterogeneity of backup server nodes and VNF nodes with the original one during backup. We designed and implemented the corresponding deployment algorithm. Simulation results show that compared with the backup method without considering heterogeneity, our method increases attacker's attack time cost by 13.2% under the cost that the request acceptance rate decreases by 4.81 %.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128053777","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}
{"title":"A Novel Clustering Algorithm Based on Mobility for VANET","authors":"Xianlei Ge, Q. Gao, Xunzhong Quan","doi":"10.1109/ICCT.2018.8600156","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8600156","url":null,"abstract":"As a special form of Mobile Ad hoc NETwork (MANET), vehicles in the network can connect to other vehicles on the road and the Internet, and can provide stable and high-speed wireless data access services for vehicles with high velocity. VANET has become an effective technology and important means to guarantee vehicle safety, provide intelligent traffic management of high-speed data communication and vehicle entertainment. However, the typical characteristics of VANET, including rapidly changing network topology, highly dynamic channel condition and node competition in channel accessing, etc., raise difficulties and challenges on data transmission in VANET. To stress the problem, a cluster algorithm based on vehicle mobility for VANET is proposed, in the proposed algorithm, the object function of cluster head selection is formulated based on the vehicle mobility including position, velocity and packet forwarding capability, the process of the clustering algorithm is also presented. Simulations demonstrate that comparing to previously proposed algorithms, the proposed algorithm offers better performance in terms of packet delivery rate, average transmission delay and total throughput.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126531234","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}
Chenyu Yang, Yongbin Yu, N. Yang, Francisco Fernández Díez, Huihui Ma, Yan-cheng Wang, Xiangxiang Wang, T. Nyima
{"title":"New Memristive Band-Pass and Band-Stop Filter Circuits for Signal Division","authors":"Chenyu Yang, Yongbin Yu, N. Yang, Francisco Fernández Díez, Huihui Ma, Yan-cheng Wang, Xiangxiang Wang, T. Nyima","doi":"10.1109/ICCT.2018.8600124","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8600124","url":null,"abstract":"This paper presents two circuits: new band-pass filter (BPF), and band-stop filter (BSF), which are derived from a simple passive RLC series circuit by replacing resistor and capacitor with memristor and memcapacitor. Compared with the traditional RLC filter, these new memristive filters show more characteristics like time-varying, flexibility, controllability among others, which highlights their potential usage for traditional signal filtering applications. On this basis, a signal division model is designed by using time-varying cutoff frequencies to divide the original signal into many obbligato parts. The novel circuits are verified by implementing a software simulation, obtaining positive results. Furthermore, the new filter circuits can be employed to other signal processing tasks and the memristive elements also can be extended to the other filter circuits.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124900030","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}
B. Li, Xiaoguang Zhang, Jitao Huang, Chao Ma, Xiyuan Wang
{"title":"Downlink Energy Efficiency Modeling and Optimization for Ultra Cellular HetNet","authors":"B. Li, Xiaoguang Zhang, Jitao Huang, Chao Ma, Xiyuan Wang","doi":"10.1109/ICCT.2018.8600056","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8600056","url":null,"abstract":"The cellular heterogeneous network (HetNet) with ultra dense small cells is called ultra cellular HetNet. The energy efficiency for this network is very important for future green wireless communications. In this paper, the data rates and power consumptions for three parts (i.e., macro cells, small cells, and mixed backhaul links) in ultra cellular HetNet are jointly formulated to model downlink energy efficiency. Then, energy efficiency optimization algorithm using the fractional programming and Lagrangian multiplier with constraints for density of ultra dense small cells and fraction of mixed backhaul links is presented. The numerical simulations demonstrate the better effect on maximizing energy efficiency in this network.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125141804","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}
{"title":"The Adaptive Communication Network Architecture of Unmanned Aerial Vehicles","authors":"Xinghe Huang, Aijing Li, Hai Wang","doi":"10.1109/ICCT.2018.8600237","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8600237","url":null,"abstract":"To realize ubiquitous wireless network environment, the unmanned aerial vehicle (DAV) is considered as good candidate for the next generation network communication infrastructure. UAVs wireless sensor network is composed of low cost and extremely power constrained sensor nodes scattered over spatial region. In this network, users can use UAVs to transfer data. In addition, good maneuverability and wide range of coverage improve UAVs communication efficiency. Mobile Ad-hoc Network (MANET) and Delay / Disruption Tolerant Network (DTN) are considered good supporter for UAVs network. However, the performance of UAVs network may change with the change of surrounding environment, such as UAV density and mobility. Neither single network architecture can always perform well in UAVs network. Therefore, we propose a novel method to improve UAVs network capabilities. In our proposed method, each source node selects the network architecture (MANET or DTN) according to the feature of the data that need to be sent and the network environment. Additionally, we have implemented this architecture and measured data in real world to verify the reliability of the theory. Experimental results show that the bandwidth that our proposed adaptive architecture is 150% better than DTN architecture. In addition, compare to MANET, the adaptive architecture can effectively transfer data in the high latency and easily interrupted network.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122060482","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}
{"title":"Real-time evaluation method for road service level based on traffic model driven","authors":"Kui Qian, Hongyue Yan","doi":"10.1109/ICCT.2018.8600209","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8600209","url":null,"abstract":"Aimed at the road service level prediction problem for real-time traffic flow, a real-time evaluation method for road service level based on traffic model driven is proposed. Firstly analyze the basic feature model of traffic flow, using flow-time occupancy model as a reference model for congestion assessment, and based on K-means clustering algorithm to complete traffic-based congestion definition. Then use the BP neural network algorithm to build congestion assessment model, finally establish a real-time stream processing framework based on Spark Streaming to realize real-time evaluation for road service level. The experiment results show that the method could effectively describe the state of congestion, and be able to evaluate road service in real time based on traffic flow data, with decision support for intelligent traffic control system to improve the service level.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131856885","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}
{"title":"A Novel Integrated Waveform for the Radar-Communication Integration System","authors":"H. Men, Zhiqun Song, Hai Wen, G. Liao","doi":"10.1109/ICCT.2018.8599924","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8599924","url":null,"abstract":"In the radar and communication integration system based on the linear frequency modulation (LFM), the communication information has great influence on the ambiguity function and the communication performance. To solve this problem, we propose a novel integrated waveform, where we employ the LFM signal combining with the time division technology as carriers to carry the communication information. Then we analyze its ambiguity function, matched filter design, distance resolution and BER performance. Theoretical analysis and simulation results demonstrate this novel integrated waveform performs well and meets practical requirements.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"67 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131921798","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}
Yulu Qi, Rang Jiang, Yan Jia, Runheng Li, Aiping Li
{"title":"Association Analysis Algorithm Based on Knowledge Graph for SPACE-Ground Integrated Network","authors":"Yulu Qi, Rang Jiang, Yan Jia, Runheng Li, Aiping Li","doi":"10.1109/ICCT.2018.8600234","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8600234","url":null,"abstract":"The Space-Ground Integrated Network (SGIN) plays an important role for the future development of the country. The cyber-attacks against it are the focus of the research. In this paper, an association analysis algorithm based on knowledge graph of cyber security attack events is proposed to present the attack scenario for the Space-Ground Integrated Network. The construction of knowledge graph and association analysis can show the scene of cyber-attacks in the form of graphs. During the build process, the construction of an event ontology is an important part of it. Event ontology is used to represent various relationships in the network attack procedure. At last, we present a space-ground integration network security analysis system based on the knowledge graph of cyber security attack events, and uses the association analysis algorithm to analyze the attack scenario.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122294324","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}
{"title":"P-FDCN Based Eye State Analysis for Fatigue Detection","authors":"Rui Huang, Yan Wang, Lei Guo","doi":"10.1109/ICCT.2018.8599947","DOIUrl":"https://doi.org/10.1109/ICCT.2018.8599947","url":null,"abstract":"Driver fatigue endangers traffic safety increasingly. In this paper, a novel fatigue detection approach based on eye state analysis is proposed. Specifically, we first build a fatigue detection convolutional network (FDCN) based on common convolutional neural network (CNN). Then we incorporate projection cores into FDCN to construct P-FDCN that not only enhance the resistance of learned features to the scale changes but strength the learning of texture information. Experimental results demonstrate the proposed approach achieves the recognition rate of 94.9%, yielding a 1.2% promotion in the average accuracy rate compared with the results obtained using the CNN alone on the Closed Eyes in the Wild (CEW) database. In addition, our approach has 1.0% accuracy improvement on the ZJU database, as well as significantly outperforming the Faster RCNN model and the traditional projection method.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"374 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120881154","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}