Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651740
P. Dong, Zhizhong Zhang, Jun Yao
This paper presents the principles and performance analysis of a general search algorithm to locate the best matched resources from the candidate nodes in a wireless mesh network. This algorithm uses a cross-layer network protocol and the concept of crowd-computing which lets all the wireless nodes in a mesh network to perform the searching and comparing. It shows much higher efficiency than the conventional methods. Our lab test has validated the algorithm in a small-scale network. Event-based simulation results are given to prove its efficiency and scalability in mesh networks with more than 1000 nodes.
{"title":"Analysis of a crowd-computing search algorithm in mesh networks","authors":"P. Dong, Zhizhong Zhang, Jun Yao","doi":"10.1109/CCNC.2019.8651740","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651740","url":null,"abstract":"This paper presents the principles and performance analysis of a general search algorithm to locate the best matched resources from the candidate nodes in a wireless mesh network. This algorithm uses a cross-layer network protocol and the concept of crowd-computing which lets all the wireless nodes in a mesh network to perform the searching and comparing. It shows much higher efficiency than the conventional methods. Our lab test has validated the algorithm in a small-scale network. Event-based simulation results are given to prove its efficiency and scalability in mesh networks with more than 1000 nodes.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132060671","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651869
Yuanhang Shao, Suman Kumar, Takahiro Kawakami
We propose an area segmentation algorithm which is completely distributed, highly responsive, and exhibits a wide range of application scenarios. The proposed algorithm segments the area based on similarity of local sensor data and therefore, it requires a similarity measure parametrized with selected system indicators. In addition, algorithm creates an energy efficient data aggregation tree with a local highest energy node as a root. The resulting segmented sub-areas represents a level of spatial diversity and an abstraction of the sensor field which has a wide range of large scale distributed applications. Through simulation, the application and working of our scheme is demonstrated.
{"title":"Segmentation and Abstraction of an IoT Enabled Distributed Sensor Network","authors":"Yuanhang Shao, Suman Kumar, Takahiro Kawakami","doi":"10.1109/CCNC.2019.8651869","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651869","url":null,"abstract":"We propose an area segmentation algorithm which is completely distributed, highly responsive, and exhibits a wide range of application scenarios. The proposed algorithm segments the area based on similarity of local sensor data and therefore, it requires a similarity measure parametrized with selected system indicators. In addition, algorithm creates an energy efficient data aggregation tree with a local highest energy node as a root. The resulting segmented sub-areas represents a level of spatial diversity and an abstraction of the sensor field which has a wide range of large scale distributed applications. Through simulation, the application and working of our scheme is demonstrated.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121325148","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651792
Taku Ogasawara, M. Bandai
In adaptive streaming, consumers set video segment quality levels based on the estimated throughput. However, in named data networking (NDN), the consumer ’s throughput estimation is not always accurate due to cache segments. As a result, in situations where bottlenecks exist between the consumer and the router, requested -higher quality segments arrive at the consumer after their designated playback time, which means the downloaded data cannot be used for playback. In this paper, we propose an interest packet control method to reduce unused data packets in scalable video coding (SVC)-based adaptive streaming in NDN. In our proposed method, when receiving an interest packet, the router determines if the requested data packet can be expected to arrive at the consumer in time for playback. If the router determines that the data requested will not arrive in time, it discards the interest packet. Through computer simulation-based performance evaluations, we show that our proposed method reduces the transmission of unused data packets.
{"title":"An Interest Control Method in SVC-based Adaptive Streaming over Named Data Networking","authors":"Taku Ogasawara, M. Bandai","doi":"10.1109/CCNC.2019.8651792","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651792","url":null,"abstract":"In adaptive streaming, consumers set video segment quality levels based on the estimated throughput. However, in named data networking (NDN), the consumer ’s throughput estimation is not always accurate due to cache segments. As a result, in situations where bottlenecks exist between the consumer and the router, requested -higher quality segments arrive at the consumer after their designated playback time, which means the downloaded data cannot be used for playback. In this paper, we propose an interest packet control method to reduce unused data packets in scalable video coding (SVC)-based adaptive streaming in NDN. In our proposed method, when receiving an interest packet, the router determines if the requested data packet can be expected to arrive at the consumer in time for playback. If the router determines that the data requested will not arrive in time, it discards the interest packet. Through computer simulation-based performance evaluations, we show that our proposed method reduces the transmission of unused data packets.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116417885","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651750
M. Furini, S. Mirri, M. Montangero
Many different environments are looking at gamification to improve education, business, tourism, smart-cities management, etc. Despite its popularity, and despite the availability of many studies that propose approaches to transform a non-game activity into a game, a gamification strategy guideline is missing. Usually, the proposed methods are too general to be effective (e.g., simple rules, incentive mechanisms such as scores or vague prizes). In a society where algorithms personalize everything, and where people with different impairments (either technological or physical) are present, it is important to also understand peoples preferences in terms of games. In this paper, through a questionnaire filled by 22 people, we show that the game preferences (rules, mechanics, focus, motivations, and gaming environment) are assistive-technology dependent. These preferences can be used to customize the gamification process and therefore the study might be helpful to develop effective gamification strategies.
{"title":"Gamification and Accessibility","authors":"M. Furini, S. Mirri, M. Montangero","doi":"10.1109/CCNC.2019.8651750","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651750","url":null,"abstract":"Many different environments are looking at gamification to improve education, business, tourism, smart-cities management, etc. Despite its popularity, and despite the availability of many studies that propose approaches to transform a non-game activity into a game, a gamification strategy guideline is missing. Usually, the proposed methods are too general to be effective (e.g., simple rules, incentive mechanisms such as scores or vague prizes). In a society where algorithms personalize everything, and where people with different impairments (either technological or physical) are present, it is important to also understand peoples preferences in terms of games. In this paper, through a questionnaire filled by 22 people, we show that the game preferences (rules, mechanics, focus, motivations, and gaming environment) are assistive-technology dependent. These preferences can be used to customize the gamification process and therefore the study might be helpful to develop effective gamification strategies.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115211750","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651671
Julien Polge, J. Robert, Yves Le Traon
The advent of the Internet of Things (IoT) is leading to create “System-of-Systems”, where disparate information systems, sensors, devices, people and software solutions are used altogether. Industrial companies tend to apply the same concept for gaining in productivity. Several consortia, such as the German initiative Industrie 4.0, recommend to use the OPCUA framework to manage interoperability issues. Associate to the convergence of the Operational Technology (OT) and the Information Technology (IT) domains, it may lead to create a new attack surface, that needs to be apprehended. The contribution is therefore to identify, based on the specifications, the threats and countermeasures that may occur/be applied when using OPC-UA in an Industry 4.0 environment and to highlight the impact of the eavesdropping and message flooding attacks on an OPC-UA application implemented on a real testbed.
{"title":"Assessing the impact of attacks on OPC-UA applications in the Industry 4.0 era","authors":"Julien Polge, J. Robert, Yves Le Traon","doi":"10.1109/CCNC.2019.8651671","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651671","url":null,"abstract":"The advent of the Internet of Things (IoT) is leading to create “System-of-Systems”, where disparate information systems, sensors, devices, people and software solutions are used altogether. Industrial companies tend to apply the same concept for gaining in productivity. Several consortia, such as the German initiative Industrie 4.0, recommend to use the OPCUA framework to manage interoperability issues. Associate to the convergence of the Operational Technology (OT) and the Information Technology (IT) domains, it may lead to create a new attack surface, that needs to be apprehended. The contribution is therefore to identify, based on the specifications, the threats and countermeasures that may occur/be applied when using OPC-UA in an Industry 4.0 environment and to highlight the impact of the eavesdropping and message flooding attacks on an OPC-UA application implemented on a real testbed.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125019998","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651736
Illyyne Saffar, Marie-Line Alberi-Morel, K. Singh, C. Viho
This paper demonstrates the feasibility of an hybrid/semi-supervised classification method for detecting the environment of an active mobile phone, based on both labeled and unlabeled cellular radio data. Precisely, we provide answers to the following question: what is the environment of the mobile user when it is/was experiencing a mobile service/application: indoor or outdoor? Implementing this method within the mobile network is interesting for mobile operators since it has low complexity, is less human intrusive (minimal intervention of mobile users) and more accurate. The semi-supervised classification algorithm learns to identify the environment using large and real collected 3GPP signals measurements. As compared to existing work, in addition to existing parameters used for classification, we propose to also use a radio metric called Timing Advance. It is computed within the mobile network. We empirically validate the innovative semi-supervised algorithm using new real-time radio measurements, with partial ground truth information, gathered daily, weekly, monthly, from indoor and outdoor locations and from multiple typical and diversified environments crossed by mobile users. The study confirms the effectiveness of the proposed scheme compared to the existing supervised classification methods including SVM and Deep Learning.
{"title":"Machine Learning with partially labeled Data for Indoor Outdoor Detection","authors":"Illyyne Saffar, Marie-Line Alberi-Morel, K. Singh, C. Viho","doi":"10.1109/CCNC.2019.8651736","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651736","url":null,"abstract":"This paper demonstrates the feasibility of an hybrid/semi-supervised classification method for detecting the environment of an active mobile phone, based on both labeled and unlabeled cellular radio data. Precisely, we provide answers to the following question: what is the environment of the mobile user when it is/was experiencing a mobile service/application: indoor or outdoor? Implementing this method within the mobile network is interesting for mobile operators since it has low complexity, is less human intrusive (minimal intervention of mobile users) and more accurate. The semi-supervised classification algorithm learns to identify the environment using large and real collected 3GPP signals measurements. As compared to existing work, in addition to existing parameters used for classification, we propose to also use a radio metric called Timing Advance. It is computed within the mobile network. We empirically validate the innovative semi-supervised algorithm using new real-time radio measurements, with partial ground truth information, gathered daily, weekly, monthly, from indoor and outdoor locations and from multiple typical and diversified environments crossed by mobile users. The study confirms the effectiveness of the proposed scheme compared to the existing supervised classification methods including SVM and Deep Learning.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123278239","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651833
Ryotaro Tani, Yuki Kobayashi, H. Shigeno
Mobile devices such as smartphones have various restrictions in terms of resources such as batteries and processors. The load reduction on the mobile devices is possible by offloading, migrating application to the resource-rich environment such as cloud servers. However, further study is required on multi-tier environment which contains multiple resources composed of edge servers and cloud servers. This paper proposes an offloading system based on estimated response time (ERT) in multi-tier environment which contains multiple resources. The proposed offloading system calculates ERT based on the state of network and computation resources of each execution resource. Offloading is executed on execution resources with the minimum ERT. We implemented the prototype of the proposed offloading system and evaluated the performance.
{"title":"Offloading System Based on Estimated Response Time in Multi-tier Environment","authors":"Ryotaro Tani, Yuki Kobayashi, H. Shigeno","doi":"10.1109/CCNC.2019.8651833","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651833","url":null,"abstract":"Mobile devices such as smartphones have various restrictions in terms of resources such as batteries and processors. The load reduction on the mobile devices is possible by offloading, migrating application to the resource-rich environment such as cloud servers. However, further study is required on multi-tier environment which contains multiple resources composed of edge servers and cloud servers. This paper proposes an offloading system based on estimated response time (ERT) in multi-tier environment which contains multiple resources. The proposed offloading system calculates ERT based on the state of network and computation resources of each execution resource. Offloading is executed on execution resources with the minimum ERT. We implemented the prototype of the proposed offloading system and evaluated the performance.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130450199","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651720
H. Yoshida, Tatsuya Yoshimoto, Takaharu Innami, K. Ohashi, H. Furuya, Naoki Mori
Although areas devastated by natural disasters must be promptly reconstructed, reconstruction works involving construction machinery are dangerous and bring a significant risk of a second disaster. A remote construction system is thus often used, which enables an operator to conduct reconstruction work from a remote and safe place while viewing on-site videos. However, the remote construction has a major problem: it has much lower work efficiency than manned construction because videos are delayed and impaired in a wireless network environment. In this paper, we present a remote construction system using our proposed adaptive video streaming method that dynamically adjusts the video bitrate on the basis of the predicted communication throughput variation. The experiments show that the proposed remote construction system using adaptive video streaming reduces operation time by 25.5%, which corresponds to a 34.3% improvement in work efficiency.
{"title":"Improving Efficiency of Remote Construction by using Adaptive Video Streaming","authors":"H. Yoshida, Tatsuya Yoshimoto, Takaharu Innami, K. Ohashi, H. Furuya, Naoki Mori","doi":"10.1109/CCNC.2019.8651720","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651720","url":null,"abstract":"Although areas devastated by natural disasters must be promptly reconstructed, reconstruction works involving construction machinery are dangerous and bring a significant risk of a second disaster. A remote construction system is thus often used, which enables an operator to conduct reconstruction work from a remote and safe place while viewing on-site videos. However, the remote construction has a major problem: it has much lower work efficiency than manned construction because videos are delayed and impaired in a wireless network environment. In this paper, we present a remote construction system using our proposed adaptive video streaming method that dynamically adjusts the video bitrate on the basis of the predicted communication throughput variation. The experiments show that the proposed remote construction system using adaptive video streaming reduces operation time by 25.5%, which corresponds to a 34.3% improvement in work efficiency.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124630721","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651694
Stefan Pratschner, M. Müller, Fjolla Ademaj, A. Nabavi, Bashar Tahir, Stefan Schwarz, M. Rupp
Numerical simulation of wireless communications systems is an important means within the process of development and evolution of mobile communications specifications. We offer a software suite to the academic society for free under an academic use license that enables the community to perform simulations of relevant scenarios for 5G and beyond in a reproducible manner. To cover a variety of potential scenarios for future mobile communications systems, we offer the Vienna 5G Link Level (LL) Simulator and the Vienna 5G System Level (SL) Simulator. In this contribution, we perform a verification of our LL and SL simulators which allows us to claim simulation results to be valid. As the Vienna 5G SL Simulator relies on link performance simulation results carried out with the Vienna 5G LL Simulator, we further consider their interaction in the context of verification.
{"title":"Verification of the Vienna 5G Link and System Level Simulators and Their Interaction","authors":"Stefan Pratschner, M. Müller, Fjolla Ademaj, A. Nabavi, Bashar Tahir, Stefan Schwarz, M. Rupp","doi":"10.1109/CCNC.2019.8651694","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651694","url":null,"abstract":"Numerical simulation of wireless communications systems is an important means within the process of development and evolution of mobile communications specifications. We offer a software suite to the academic society for free under an academic use license that enables the community to perform simulations of relevant scenarios for 5G and beyond in a reproducible manner. To cover a variety of potential scenarios for future mobile communications systems, we offer the Vienna 5G Link Level (LL) Simulator and the Vienna 5G System Level (SL) Simulator. In this contribution, we perform a verification of our LL and SL simulators which allows us to claim simulation results to be valid. As the Vienna 5G SL Simulator relies on link performance simulation results carried out with the Vienna 5G LL Simulator, we further consider their interaction in the context of verification.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121346081","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}
Pub Date : 2019-01-01DOI: 10.1109/CCNC.2019.8651708
P. Urien
Security is a critical issue for new car generation targeting intelligent transportation systems (ITS), involving autonomous and connected vehicles. In this work we designed a low cost CAN probe and defined analysis tools in order to build attack scenarios. We reuse some threats identified by a previous work. Future researches will address new security protocols.
{"title":"Designing Attacks Against Automotive Control Area Network Bus and Electronic Control Units","authors":"P. Urien","doi":"10.1109/CCNC.2019.8651708","DOIUrl":"https://doi.org/10.1109/CCNC.2019.8651708","url":null,"abstract":"Security is a critical issue for new car generation targeting intelligent transportation systems (ITS), involving autonomous and connected vehicles. In this work we designed a low cost CAN probe and defined analysis tools in order to build attack scenarios. We reuse some threats identified by a previous work. Future researches will address new security protocols.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128908371","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}
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