The Experts below are selected from a list of 312 Experts worldwide ranked by ideXlab platform
Shih-cheng Chen - One of the best experts on this subject based on the ideXlab platform.
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WCNC - Multidimensional Scaling Algorithm for Mobile Location Based on Hybrid SADOA/TOA Measurement
2008 IEEE Wireless Communications and Networking Conference, 2008Co-Authors: Shih-cheng ChenAbstract:The mobile location in wireless communication system becomes a popular issue in recent years. It is commonly used in emergency services, Roadside Assistance, billing, navigation, psychophysics, behavioral science, etc. Over recent decades, many location algorithms are put forward. However, the algorithms results in inaccurate location estimation due to Non-Line-Of-Sight (NLOS) propagation. This paper proposes the mobile location estimation based on the Received Signal Strength (RSS) and the Time-Of-Arrival (TOA) measurements, via the multidimensional scaling technique (MDS). The algorithm does not require a known and accurate path loss modeling, reduces the impact of NLOS on location. Simulation results show that the algorithm performs well even though in the severe NLOS scenario.
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Multidimensional Scaling Algorithm for Mobile Location Based on Hybrid SADOA/TOA Measurement
2008 IEEE Wireless Communications and Networking Conference, 2008Co-Authors: Shih-cheng ChenAbstract:The mobile location in wireless communication system becomes a popular issue in recent years. It is commonly used in emergency services, Roadside Assistance, billing, navigation, psychophysics, behavioral science, etc. Over recent decades, many location algorithms are put forward. However, the algorithms results in inaccurate location estimation due to Non-Line-Of-Sight (NLOS) propagation. This paper proposes the mobile location estimation based on the Received Signal Strength (RSS) and the Time-Of-Arrival (TOA) measurements, via the multidimensional scaling technique (MDS). The algorithm does not require a known and accurate path loss modeling, reduces the impact of NLOS on location. Simulation results show that the algorithm performs well even though in the severe NLOS scenario.
Christian Bonnet - One of the best experts on this subject based on the ideXlab platform.
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Next-Generation, Data Centric and End-to-End IoT Architecture Based on Microservices
2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia), 2018Co-Authors: Soumya Kanti Datta, Christian BonnetAbstract:The early Internet of Things (IoT) systems have been infrastructure dependent. But these systems are evolving due to the advent of data centric IoT architectures, applications and services that are independent of infrastructure. Cloudification, virtualization and softwarization of IoT devices and services are heavily used to design, develop and deploy new End-to-End IoT applications. Scalability, extensibility and interoperability challenges are now coming to forefront regarding the new IoT services and platforms. This paper proposes to tackle these challenges using microservices in the Cloud. We are extending our previously developed DataTweet IoT architecture and services to cover a high degree of heterogeneity, information systems, integration of virtual IoT devices, gateways and micro-granular architectures. The paper investigates the new challenges and describes solutions for integrating microservices with more flexible and scalable architectural meta models. We present a prototype of the enhanced architecture, its operational steps and a use cases on Roadside Assistance.
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GCCE - An edge computing architecture integrating virtual IoT devices
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 2017Co-Authors: Soumya Kanti Datta, Christian BonnetAbstract:The current IoT ecosystem is Cloud centric which can not handle a diverse set of IoT applications and services, especially those demanding real time response. This paper proposes an Edge Computing (EC) architecture that provides an intermediate computing layer for IoT data. The proposed architecture utilizes Virtual IoT Devices (VID) for local data processing, management of physical IoT devices and quick reaction using actuators. A prototype of the EC system is developed and early performance results are reported. Applications of the EC system for Roadside Assistance services and emerging autonomous vehicles are outlined.
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An IoT framework for intelligent Roadside Assistance system
2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2017Co-Authors: Soumya Kanti Datta, Christian BonnetAbstract:The connected road infrastructure and Roadside Assistance services constitute an important consumer market segment in the Intelligent Transportation System (ITS) and Smart Cities. A closer look at available such services reveal the presence of data silos, heterogeneity and lack of interoperability. They affect the overall consumer experience and increase the cost of service development & maintenance. This paper proposes an IoT framework for next generation, intelligent Roadside Assistance system. A data centric architecture is presented along with solutions of the mentioned challenges.
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An edge computing architecture integrating virtual IoT devices
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 2017Co-Authors: Soumya Kanti Datta, Christian BonnetAbstract:The current IoT ecosystem is Cloud centric which can not handle a diverse set of IoT applications and services, especially those demanding real time response. This paper proposes an Edge Computing (EC) architecture that provides an intermediate computing layer for IoT data. The proposed architecture utilizes Virtual IoT Devices (VID) for local data processing, management of physical IoT devices and quick reaction using actuators. A prototype of the EC system is developed and early performance results are reported. Applications of the EC system for Roadside Assistance services and emerging autonomous vehicles are outlined.
Soumya Kanti Datta - One of the best experts on this subject based on the ideXlab platform.
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Next-Generation, Data Centric and End-to-End IoT Architecture Based on Microservices
2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia), 2018Co-Authors: Soumya Kanti Datta, Christian BonnetAbstract:The early Internet of Things (IoT) systems have been infrastructure dependent. But these systems are evolving due to the advent of data centric IoT architectures, applications and services that are independent of infrastructure. Cloudification, virtualization and softwarization of IoT devices and services are heavily used to design, develop and deploy new End-to-End IoT applications. Scalability, extensibility and interoperability challenges are now coming to forefront regarding the new IoT services and platforms. This paper proposes to tackle these challenges using microservices in the Cloud. We are extending our previously developed DataTweet IoT architecture and services to cover a high degree of heterogeneity, information systems, integration of virtual IoT devices, gateways and micro-granular architectures. The paper investigates the new challenges and describes solutions for integrating microservices with more flexible and scalable architectural meta models. We present a prototype of the enhanced architecture, its operational steps and a use cases on Roadside Assistance.
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GCCE - An edge computing architecture integrating virtual IoT devices
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 2017Co-Authors: Soumya Kanti Datta, Christian BonnetAbstract:The current IoT ecosystem is Cloud centric which can not handle a diverse set of IoT applications and services, especially those demanding real time response. This paper proposes an Edge Computing (EC) architecture that provides an intermediate computing layer for IoT data. The proposed architecture utilizes Virtual IoT Devices (VID) for local data processing, management of physical IoT devices and quick reaction using actuators. A prototype of the EC system is developed and early performance results are reported. Applications of the EC system for Roadside Assistance services and emerging autonomous vehicles are outlined.
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An IoT framework for intelligent Roadside Assistance system
2017 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 2017Co-Authors: Soumya Kanti Datta, Christian BonnetAbstract:The connected road infrastructure and Roadside Assistance services constitute an important consumer market segment in the Intelligent Transportation System (ITS) and Smart Cities. A closer look at available such services reveal the presence of data silos, heterogeneity and lack of interoperability. They affect the overall consumer experience and increase the cost of service development & maintenance. This paper proposes an IoT framework for next generation, intelligent Roadside Assistance system. A data centric architecture is presented along with solutions of the mentioned challenges.
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An edge computing architecture integrating virtual IoT devices
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 2017Co-Authors: Soumya Kanti Datta, Christian BonnetAbstract:The current IoT ecosystem is Cloud centric which can not handle a diverse set of IoT applications and services, especially those demanding real time response. This paper proposes an Edge Computing (EC) architecture that provides an intermediate computing layer for IoT data. The proposed architecture utilizes Virtual IoT Devices (VID) for local data processing, management of physical IoT devices and quick reaction using actuators. A prototype of the EC system is developed and early performance results are reported. Applications of the EC system for Roadside Assistance services and emerging autonomous vehicles are outlined.
Oyunchimeg Shagdar - One of the best experts on this subject based on the ideXlab platform.
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Security attacks impact for collective perception based Roadside Assistance: A study of a highway on-ramp merging case
2020 International Wireless Communications and Mobile Computing (IWCMC), 2020Co-Authors: Mohamed Hadded, Pierre Merdrignac, Sacha Duhamel, Oyunchimeg ShagdarAbstract:Road critical situations like highway on-ramp merging require a high coordination level between vehicles within a short time while they are driving at high velocity. Augmented perception system that can provide information about non-communicating vehicles in timely manner can drastically help vehicles to safely merge on the highway and avoid incidents. However, this reliance on coordination by information exchange between vehicles requires resilience against cyber attacks and against any other driver misbehavior or error. In this paper, we proposed and implemented a perception model that has been integrated in the merging control algorithm proposed in the literature to enhance the capability of the Road Side Unit (RSU) to detect the surrounding objects on the road. Moreover, we developed in this paper several attack models and we measure through simulations their impacts on collective perception-based on-ramp merging control algorithm.
Jan P. Huissoon - One of the best experts on this subject based on the ideXlab platform.
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ITSC - Experimental modeling and adaptive control of an unmanned aerial vehicle as Roadside Assistance
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013Co-Authors: Ismail Bayezit, Gokhan Inalhan, Barış Fidan, Jan P. HuissoonAbstract:Small scale fixed-wing unmanned aerial vehicles (UAV) are an emerging technology, and have been widely used in many many manned/unmanned and cooperative operations as research testbeds. This paper describes the realistic modeling and adaptive autonomous control of a small scale UAV that serves as a dynamic Roadside agent to provide critical Roadside Assistance and manage highway traffic. Additionally, the importance and implementation of dynamic Roadside operations to optimize platoon acceleration and avoid rush hour traffic congestion are discussed. The steady-state flight trim and model-decomposition of 6 Degree-of-Freedom (DOF) UAV model using small perturbation theory are provided. Finally, the implementation of an autonomous adaptive control approach is given which is advantageous over other linear based control approaches for small-scale UAVs.
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Experimental modeling and adaptive control of an unmanned aerial vehicle as Roadside Assistance
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013Co-Authors: Ismail Bayezit, Gokhan Inalhan, Barış Fidan, Jan P. HuissoonAbstract:Small scale fixed-wing unmanned aerial vehicles (UAV) are an emerging technology, and have been widely used in many many manned/unmanned and cooperative operations as research testbeds. This paper describes the realistic modeling and adaptive autonomous control of a small scale UAV that serves as a dynamic Roadside agent to provide critical Roadside Assistance and manage highway traffic. Additionally, the importance and implementation of dynamic Roadside operations to optimize platoon acceleration and avoid rush hour traffic congestion are discussed. The steady-state flight trim and model-decomposition of 6 Degree-of-Freedom (DOF) UAV model using small perturbation theory are provided. Finally, the implementation of an autonomous adaptive control approach is given which is advantageous over other linear based control approaches for small-scale UAVs.
