The Experts below are selected from a list of 22248 Experts worldwide ranked by ideXlab platform
Young-joo Suh - One of the best experts on this subject based on the ideXlab platform.
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multihop Transmission Opportunity in wireless multihop networks
International Conference on Computer Communications, 2010Co-Authors: Tianning Shen, Kang G Shin, Jeongyoon Lee, Young-joo SuhAbstract:Wireless multihop communication is becoming more important due to the increasing popularity of wireless sensor networks, wireless mesh networks, and mobile social networks. They are distinguished from conventional multihop networks in terms of scale, traffic intensity and/or node density. Being readily-available in most of 802.11 radios, multirate facility appears to be useful to address some of these issues and is particularly helpful in high-density scenarios where inter-node distance is short, demanding a prudent multirate adaptation algorithm. However, communication at high bit rates mandates a large number of hops for a given node pair and thus, can easily be depreciated as per-hop overhead at several layers of network protocol is aggregated over the increased number of hops. This paper presents a novel multihop, multirate adaptation mechanism, called Multihop Transmission Opportunity (MTOP), that allows a frame to be forwarded a number of hops consecutively but reduces the MAC-layer overhead between hops. This seemingly collision-prone multihop forwarding is proven to be safe via analysis and USRP/GNU Radio-based experiment. The idea of MTOP is in clear contrast to, but not mutually exclusive with, the conventional opportunistic Transmission mechanism, referred to as TXOP, where a node transmits multiple frames back-to-back when it gets an Opportunity. We conducted an extensive simulation study via ns-2, demonstrating the performance advantage of MTOP under a wide range of network scenarios.
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INFOCOM - Multihop Transmission Opportunity in Wireless Multihop Networks
2010 Proceedings IEEE INFOCOM, 2010Co-Authors: Tianning Shen, Kang G Shin, Jeongyoon Lee, Young-joo SuhAbstract:Wireless multihop communication is becoming more important due to the increasing popularity of wireless sensor networks, wireless mesh networks, and mobile social networks. They are distinguished from conventional multihop networks in terms of scale, traffic intensity and/or node density. Being readily-available in most of 802.11 radios, multirate facility appears to be useful to address some of these issues and is particularly helpful in high-density scenarios where inter-node distance is short, demanding a prudent multirate adaptation algorithm. However, communication at high bit rates mandates a large number of hops for a given node pair and thus, can easily be depreciated as per-hop overhead at several layers of network protocol is aggregated over the increased number of hops. This paper presents a novel multihop, multirate adaptation mechanism, called Multihop Transmission Opportunity (MTOP), that allows a frame to be forwarded a number of hops consecutively but reduces the MAC-layer overhead between hops. This seemingly collision-prone multihop forwarding is proven to be safe via analysis and USRP/GNU Radio-based experiment. The idea of MTOP is in clear contrast to, but not mutually exclusive with, the conventional opportunistic Transmission mechanism, referred to as TXOP, where a node transmits multiple frames back-to-back when it gets an Opportunity. We conducted an extensive simulation study via ns-2, demonstrating the performance advantage of MTOP under a wide range of network scenarios.
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a rate adaptive Transmission Opportunity for fairness over ieee 802 11e wireless lans
International Conference on Communications, 2007Co-Authors: Eunkyung Kim, Young-joo SuhAbstract:The IEEE 802.11e is the extension to enhance the wireless medium access control (MAC) quality of service (QoS) for applications requiring real time services. The IEEE 802.11b is also one of the extensions with the higher and multiple data Transmission rates according to the channel condition. However, when the IEEE 802.11e WLANs are used with multi-rate scheme, they suffer unfairness in terms of throughput. In this paper, we propose a rate adaptive Transmission Opportunity (TXOP) to solve the unfairness with the performance. Our simulation results show that the proposed scheme provides better fairness.
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ICC - A Rate Adaptive Transmission Opportunity for Fairness over IEEE 802.11e Wireless LANs
2007 IEEE International Conference on Communications, 2007Co-Authors: Eunkyung Kim, Young-joo SuhAbstract:The IEEE 802.11e is the extension to enhance the wireless medium access control (MAC) quality of service (QoS) for applications requiring real time services. The IEEE 802.11b is also one of the extensions with the higher and multiple data Transmission rates according to the channel condition. However, when the IEEE 802.11e WLANs are used with multi-rate scheme, they suffer unfairness in terms of throughput. In this paper, we propose a rate adaptive Transmission Opportunity (TXOP) to solve the unfairness with the performance. Our simulation results show that the proposed scheme provides better fairness.
Keunwoo Lim - One of the best experts on this subject based on the ideXlab platform.
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poster adaptive flow control for wireless serial bus using wi fi Transmission Opportunity
ACM IEEE International Conference on Mobile Computing and Networking, 2014Co-Authors: Woosung Jung, Keunwoo LimAbstract:This poster proposes an adaptive flow control scheme for reliable packet delivery of Universal Serial Bus (USB) services when they are transmitted through wireless medium. In the future, USB can be utilized with the Wi-Fi technology to provide Wi-Fi USB (WSB). However, the data Transmission of Wi-Fi and USB are asynchronous due to their different Medium Access Control (MAC) characteristics, which may result in buffer overflow. To prevent buffer overflow, we propose an adaptive flow control scheme that can select between the various Transmission speeds of USB to match with the bandwidth provided by the Wi-Fi layer. Preliminary results of the proposed scheme evaluated via the NS-3 shows that the packet delivery ratio of USB data can be substantially increased, thus providing better USB reliability.
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MobiCom - Poster: adaptive flow control for wireless serial bus using wi-fi Transmission Opportunity
Proceedings of the 20th annual international conference on Mobile computing and networking, 2014Co-Authors: Woosung Jung, Keunwoo LimAbstract:This poster proposes an adaptive flow control scheme for reliable packet delivery of Universal Serial Bus (USB) services when they are transmitted through wireless medium. In the future, USB can be utilized with the Wi-Fi technology to provide Wi-Fi USB (WSB). However, the data Transmission of Wi-Fi and USB are asynchronous due to their different Medium Access Control (MAC) characteristics, which may result in buffer overflow. To prevent buffer overflow, we propose an adaptive flow control scheme that can select between the various Transmission speeds of USB to match with the bandwidth provided by the Wi-Fi layer. Preliminary results of the proposed scheme evaluated via the NS-3 shows that the packet delivery ratio of USB data can be substantially increased, thus providing better USB reliability.
Woosung Jung - One of the best experts on this subject based on the ideXlab platform.
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poster adaptive flow control for wireless serial bus using wi fi Transmission Opportunity
ACM IEEE International Conference on Mobile Computing and Networking, 2014Co-Authors: Woosung Jung, Keunwoo LimAbstract:This poster proposes an adaptive flow control scheme for reliable packet delivery of Universal Serial Bus (USB) services when they are transmitted through wireless medium. In the future, USB can be utilized with the Wi-Fi technology to provide Wi-Fi USB (WSB). However, the data Transmission of Wi-Fi and USB are asynchronous due to their different Medium Access Control (MAC) characteristics, which may result in buffer overflow. To prevent buffer overflow, we propose an adaptive flow control scheme that can select between the various Transmission speeds of USB to match with the bandwidth provided by the Wi-Fi layer. Preliminary results of the proposed scheme evaluated via the NS-3 shows that the packet delivery ratio of USB data can be substantially increased, thus providing better USB reliability.
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MobiCom - Poster: adaptive flow control for wireless serial bus using wi-fi Transmission Opportunity
Proceedings of the 20th annual international conference on Mobile computing and networking, 2014Co-Authors: Woosung Jung, Keunwoo LimAbstract:This poster proposes an adaptive flow control scheme for reliable packet delivery of Universal Serial Bus (USB) services when they are transmitted through wireless medium. In the future, USB can be utilized with the Wi-Fi technology to provide Wi-Fi USB (WSB). However, the data Transmission of Wi-Fi and USB are asynchronous due to their different Medium Access Control (MAC) characteristics, which may result in buffer overflow. To prevent buffer overflow, we propose an adaptive flow control scheme that can select between the various Transmission speeds of USB to match with the bandwidth provided by the Wi-Fi layer. Preliminary results of the proposed scheme evaluated via the NS-3 shows that the packet delivery ratio of USB data can be substantially increased, thus providing better USB reliability.
Jacir Luiz Bordim - One of the best experts on this subject based on the ideXlab platform.
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ISWCS - A Recurrent Neural Network MAC Protocol Towards to Opportunistic Communication in Wireless Networks
2019 16th International Symposium on Wireless Communication Systems (ISWCS), 2019Co-Authors: Marcos F. Caetano, Silas S Fernandes, M V Lamar, Jacir Luiz Bordim, Mariana R. Makiuchi, Priscila Solis BarretoAbstract:One of the major challenges in opportunistic networks is the correct identification of Transmission opportunities. In this work, a new cognitive MAC protocol, called Makiuchi is proposed. The Makiuchi is builtin using a recurrent neural network to model the channel occupation and to detect the exact moment of Transmission Opportunity. The training process was performed based on data from a real world experiment using Software Defined Radio (SDR) for monitoring a Wi-Fi channel. The Makiuchi MAC protocol was implemented using the discrete event simulator OMNeT++ and INET networking framework. Preliminary simulation results demonstrate the expected behavior of the Makiuchi protocol in the process of identification and allocation of Secondary Users’ Transmission opportunities. When compared with IEEE 802.11, the Makiuchi algorithm is able to improve in 22% the network performance, embracing a bigger number of Transmissions opportunities, while it reduces in ≈50% the number of collisions with the Primary User.
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IJCNN - An Adaptive Recurrent Neural Network Model Dedicated to Opportunistic Communication in Wireless Networks
2018 International Joint Conference on Neural Networks (IJCNN), 2018Co-Authors: Silas S Fernandes, M V Lamar, Mariana R. Makiuchi, Jacir Luiz BordimAbstract:One of the major challenges in opportunistic networks is the correct identification of a Transmission Opportunity and its corresponding duration. In this work, a new adaptive model for Opportunity forecast is proposed. The system is based on in-channel spectrum sensing and the use of recurrent neural network to model the occupation of the channel and detect the correct moment of Transmission Opportunity. The results, based on realistic experiments using a Software Defined Radio for monitoring a Wi-Fi channel, are presented. The proposed model reached a precision of 82.52% for noisy environment and 96.78% for mild environment, decreasing significantly the false positive rate comparing to non-adaptive recurrent neural equivalent, which is an important aspect in opportunistic use of a channel.
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recurrent neural networks for Transmission Opportunity forecasting
Mobile Adhoc and Sensor Systems, 2016Co-Authors: Paulo A L Ferreira, Silas S Fernandes, Rodrigo R Bezerra, M V Lamar, Jacir Luiz BordimAbstract:One of the major challenges in opportunistic networks is the correct identification of a Transmission Opportunity and its corresponding duration. In this work, recurrent neural network structures are investigated for Transmission Opportunity forecast. The proposed method is based on in-channel spectrum sensing and the use of Elman recurrent neural network to model the occupation of the channel. The results, based on real experiment measurements, using a Software Defined Radio for monitoring of a Wi-Fi channel shows that, in the evaluated scenarios even a small neural network is able to achieves 99.9% of correct Transmission Opportunity identification rate.
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MASS - Recurrent Neural Networks for Transmission Opportunity Forecasting
2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2016Co-Authors: Paulo A L Ferreira, Silas S Fernandes, Rodrigo R Bezerra, M V Lamar, Jacir Luiz BordimAbstract:One of the major challenges in opportunistic networks is the correct identification of a Transmission Opportunity and its corresponding duration. In this work, recurrent neural network structures are investigated for Transmission Opportunity forecast. The proposed method is based on in-channel spectrum sensing and the use of Elman recurrent neural network to model the occupation of the channel. The results, based on real experiment measurements, using a Software Defined Radio for monitoring of a Wi-Fi channel shows that, in the evaluated scenarios even a small neural network is able to achieves 99.9% of correct Transmission Opportunity identification rate.
Weisen Shi - One of the best experts on this subject based on the ideXlab platform.
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Transmission Opportunity of spectrum sharing with cellular uplink spectrum in cognitive vanet
Vehicular Technology Conference, 2016Co-Authors: Hang Zhang, Tao Luo, Weisen ShiAbstract:In this paper, we propose a cellular cognitive-radio vehicular ad hoc network (CCR-VANET) which consists of cellular network (primary network) and vehicular ad hoc network (secondary network). The two coexisting networks share the uplink spectrum of cellular network. The moving pattern of all vehicles is described as the classic Car-Following model. A cognitive carrier sense multiple access with collision avoidance (cognitive- CSMA) protocol with two-stage decision is investigated to opportunistically access the uplink spectrum. Based on this model and protocol, the Transmission Opportunity is derived by using stochastic geometry tools. Finally, simulation results show that, with cognitive-CSMA protocol and invariable Transmission power of coexisting networks, the CCR-VANET Transmission Opportunity increases with the increasing of maximum received beacon power threshold, predefined carrier sensing threshold and the number of subchannels, while decreases with the increasing of the density of active primary transmitters.
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VTC Spring - Transmission Opportunity of Spectrum Sharing with Cellular Uplink Spectrum in Cognitive VANET
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016Co-Authors: Hang Zhang, Tao Luo, Weisen ShiAbstract:In this paper, we propose a cellular cognitive-radio vehicular ad hoc network (CCR-VANET) which consists of cellular network (primary network) and vehicular ad hoc network (secondary network). The two coexisting networks share the uplink spectrum of cellular network. The moving pattern of all vehicles is described as the classic Car-Following model. A cognitive carrier sense multiple access with collision avoidance (cognitive- CSMA) protocol with two-stage decision is investigated to opportunistically access the uplink spectrum. Based on this model and protocol, the Transmission Opportunity is derived by using stochastic geometry tools. Finally, simulation results show that, with cognitive-CSMA protocol and invariable Transmission power of coexisting networks, the CCR-VANET Transmission Opportunity increases with the increasing of maximum received beacon power threshold, predefined carrier sensing threshold and the number of subchannels, while decreases with the increasing of the density of active primary transmitters.
