Pub Date : 2018-06-01DOI: 10.1109/seconw.2018.8396338
{"title":"IWMBMC Keynote","authors":"","doi":"10.1109/seconw.2018.8396338","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396338","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133772592","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 : 2018-06-01DOI: 10.1109/seconw.2018.8396331
{"title":"CoWPER Program","authors":"","doi":"10.1109/seconw.2018.8396331","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396331","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133792785","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 : 2018-06-01DOI: 10.1109/SECONW.2018.8396346
Yifan Chen, Yu Zhou, R. Murch, T. Nakano
We propose a novel communication-inspired model of contagion phenomena and mitigation strategies by establishing the one-to-one correspondence between the essential components comprising information transmission and epidemic spreading. We then present the notions of normalized ensemble-average prevalence (NEAP) and prevalence delay profile (PDP) to characterize the relative impact and time difference of all the epidemic spreading paths, which are analogous to the classical description methods of path loss and power delay profile in communications. The proposed framework provides an intuitive, coherent, and efficient approach for characterization of the disease outbreaks by applying the well-established communication theories as the analytical lens.
{"title":"Communication-Inspired Model of Epidemics","authors":"Yifan Chen, Yu Zhou, R. Murch, T. Nakano","doi":"10.1109/SECONW.2018.8396346","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396346","url":null,"abstract":"We propose a novel communication-inspired model of contagion phenomena and mitigation strategies by establishing the one-to-one correspondence between the essential components comprising information transmission and epidemic spreading. We then present the notions of normalized ensemble-average prevalence (NEAP) and prevalence delay profile (PDP) to characterize the relative impact and time difference of all the epidemic spreading paths, which are analogous to the classical description methods of path loss and power delay profile in communications. The proposed framework provides an intuitive, coherent, and efficient approach for characterization of the disease outbreaks by applying the well-established communication theories as the analytical lens.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116170170","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 : 2018-06-01DOI: 10.1109/seconw.2018.8396330
{"title":"CoWPER Patrons","authors":"","doi":"10.1109/seconw.2018.8396330","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396330","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114480025","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 : 2018-06-01DOI: 10.1109/SECONW.2018.8396348
Gergely Gubcsi, T. Zsedrovits
In this paper, an ergonomic quadcopter control system for aircraft equipped with MAVLink compatible flight control unit is described. Our system is based on the broadly known Robotic Operating System (ROS) and the Leap Motion Controller. The users control the flight with specific hand gestures detected by the Leap Motion Controller, instead of using the original remote controller. The new control method was tested with a small number of users in an outdoor scenario, and this first round shows promising user feedbacks.
{"title":"Ergonomic Quadcopter Control Using the Leap Motion Controller","authors":"Gergely Gubcsi, T. Zsedrovits","doi":"10.1109/SECONW.2018.8396348","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396348","url":null,"abstract":"In this paper, an ergonomic quadcopter control system for aircraft equipped with MAVLink compatible flight control unit is described. Our system is based on the broadly known Robotic Operating System (ROS) and the Leap Motion Controller. The users control the flight with specific hand gestures detected by the Leap Motion Controller, instead of using the original remote controller. The new control method was tested with a small number of users in an outdoor scenario, and this first round shows promising user feedbacks.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133584719","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 : 2018-06-01DOI: 10.1109/SECONW.2018.8396357
V. Loscrí, G. Ruggeri, A. Vegni, Ignazio Cricelli
Internet, in its most recent evolution, is going to be the playground where a multitude of heterogeneous interconnected ``things'' autonomously exchange information to accomplish some tasks or to provide a service. Recently, the idea of giving to those smart devices the capability to organize themselves according to a social structure, gave birth to the so-called paradigm of the Social Internet of Things. The expected benefits of SIoT range from the enhanced effectiveness, scalability and speed of the navigability of the network of interconnected objects, to the provision of a level of trustworthiness that can be established by averaging the social relationships among things that are ``friends''. Bearing in mind the beneficial effects of social components in IoT, we consider a social structure in a vehicular context i.e., Social Internet of Vehicles (SIoV). In SIoV, smart vehicles build social relationships with other social objects they might come into contact, with the intent of creating an overlay social network to be exploited for information search and dissemination for vehicular applications. In this paper, we aim to investigate the social behavior of vehicles in SIoV and how it is affected by mobility patterns. Specifically, through the analysis of simulated traffic traces, we distinguish friendly and acquaintance vehicles based on the encounter time and connection maintenance.
{"title":"Social Structure Analysis in Internet of Vehicles","authors":"V. Loscrí, G. Ruggeri, A. Vegni, Ignazio Cricelli","doi":"10.1109/SECONW.2018.8396357","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396357","url":null,"abstract":"Internet, in its most recent evolution, is going to be the playground where a multitude of heterogeneous interconnected ``things'' autonomously exchange information to accomplish some tasks or to provide a service. Recently, the idea of giving to those smart devices the capability to organize themselves according to a social structure, gave birth to the so-called paradigm of the Social Internet of Things. The expected benefits of SIoT range from the enhanced effectiveness, scalability and speed of the navigability of the network of interconnected objects, to the provision of a level of trustworthiness that can be established by averaging the social relationships among things that are ``friends''. Bearing in mind the beneficial effects of social components in IoT, we consider a social structure in a vehicular context i.e., Social Internet of Vehicles (SIoV). In SIoV, smart vehicles build social relationships with other social objects they might come into contact, with the intent of creating an overlay social network to be exploited for information search and dissemination for vehicular applications. In this paper, we aim to investigate the social behavior of vehicles in SIoV and how it is affected by mobility patterns. Specifically, through the analysis of simulated traffic traces, we distinguish friendly and acquaintance vehicles based on the encounter time and connection maintenance.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"51 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125204179","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 : 2018-06-01DOI: 10.1109/seconw.2018.8396328
{"title":"CoWPER Committees","authors":"","doi":"10.1109/seconw.2018.8396328","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396328","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128169397","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 : 2018-06-01DOI: 10.1109/seconw.2018.8396334
{"title":"CPC-UAV Keynote","authors":"","doi":"10.1109/seconw.2018.8396334","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396334","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128999611","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 : 2018-06-01DOI: 10.1109/SECONW.2018.8396345
Yan Shi, John Wensowitch, Alexander Ward, Mahmoud Badi, J. Camp
Unmanned aerial vehicles have been deployed in many applications such as search and rescue, reconnaissance, and disaster recovery. However, UAV mobility can threaten the ability to maintain robust transmissions in practical deployments. On one hand, advanced software methodologies and extensive experiments are required to ensure safe and autonomous flights. On the other hand, to unlock additional capacity in drone communications, additional techniques must be leveraged such as directionality via MIMO-based beamforming, requiring accurate channel information to be fed back in- flight. Software defined radio (SDR) platforms play a major role in filling these gaps in multiple frequency bands, customizable design, and performance characterization. In this work, we present the hardware setup as well as software architecture of our proposed testbed leveraged for two different applications: autonomous mobility and beamforming. In the autonomous mobility case, we build a robust UAV-control framework on a customizable drone platform using MAVLink. Our experiments have demonstrated the feasibility of intelligent automated flight patterns. In the beamforming case, we implement a beamforming scheme on a drone-based SDR platform and evaluate its performance in various contexts. Our evaluations reveal that the drone-based beamforming can improve throughput significantly over conventional schemes.
{"title":"Building UAV-Based Testbeds for Autonomous Mobility and Beamforming Experimentation","authors":"Yan Shi, John Wensowitch, Alexander Ward, Mahmoud Badi, J. Camp","doi":"10.1109/SECONW.2018.8396345","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396345","url":null,"abstract":"Unmanned aerial vehicles have been deployed in many applications such as search and rescue, reconnaissance, and disaster recovery. However, UAV mobility can threaten the ability to maintain robust transmissions in practical deployments. On one hand, advanced software methodologies and extensive experiments are required to ensure safe and autonomous flights. On the other hand, to unlock additional capacity in drone communications, additional techniques must be leveraged such as directionality via MIMO-based beamforming, requiring accurate channel information to be fed back in- flight. Software defined radio (SDR) platforms play a major role in filling these gaps in multiple frequency bands, customizable design, and performance characterization. In this work, we present the hardware setup as well as software architecture of our proposed testbed leveraged for two different applications: autonomous mobility and beamforming. In the autonomous mobility case, we build a robust UAV-control framework on a customizable drone platform using MAVLink. Our experiments have demonstrated the feasibility of intelligent automated flight patterns. In the beamforming case, we implement a beamforming scheme on a drone-based SDR platform and evaluate its performance in various contexts. Our evaluations reveal that the drone-based beamforming can improve throughput significantly over conventional schemes.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134376748","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 : 2018-06-01DOI: 10.1109/seconw.2018.8396329
{"title":"CoWPER Keynote","authors":"","doi":"10.1109/seconw.2018.8396329","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396329","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"516 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123089393","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：