The Experts below are selected from a list of 3312 Experts worldwide ranked by ideXlab platform
Chakkaphong Suthaputchakun - One of the best experts on this subject based on the ideXlab platform.
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Multihop Broadcast Protocol in Intermittently Connected Vehicular Networks
IEEE Transactions on Aerospace and Electronic Systems, 2018Co-Authors: Chakkaphong SuthaputchakunAbstract:There are great challenges in vehicular networks, i.e., continuous connectivity cannot be guaranteed due to interruptions. This paper proposes a novel multihop Broadcasting Protocol with low signaling overhead in vehicular networks with frequent interruptions named as trinary partitioned black-burst-based Broadcast Protocol. The Protocol operates without any infrastructure. It has low overhead supporting different quality of service levels. Both analysis and comprehensive simulations show that the proposed Protocol outperforms the bench mark schemes.
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Trinary Partitioned Black-Burst-Based Broadcast Protocol for Time-Critical Emergency Message Dissemination in VANETs
IEEE Transactions on Vehicular Technology, 2014Co-Authors: Chakkaphong Suthaputchakun, Mehrdad Dianati, Zhili SunAbstract:In this paper, we propose a multihop Broadcast Protocol for dissemination of time-critical emergency messages (EMs) in vehicular ad hoc networks (VANETs), where the IEEE 802.11p technology is used for communication among the nodes. The proposed trinary partitioned black-burst-based Broadcast Protocol (3P3B) consists of two primary mechanisms. First, a mini distributed interframe space (DIFS) in a medium access control (MAC) sublayer is introduced to give the time-critical EMs a higher access priority to the communication channel compared with other messages. Second, a trinary partitioning is designed to iteratively partition the communication range into small sectors. The trinary partitioning mechanism allows the farthest possible vehicle in the farthest sector from the sender node to perform forwarding to increase the dissemination speed by reducing the number of forwarding hops. In addition, 3P3B reduces the contention period jitter, which is independent of the density of vehicles, resulting in a more stable contention period. Analytical models are proposed for performance evaluation in conjunction with simulation-based performance analysis. The results demonstrate that 3P3B outperforms benchmarks of the existing Broadcast Protocols in VANETs in terms of the average message dissemination speed, message progress, communication delay, and packet delivery ratio.
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Trinary Partition Black-Burst based Broadcast Protocol for Emergency Message dissemination in VANET
2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013Co-Authors: Chakkaphong Suthaputchakun, Mehrdad DianatiAbstract:In this paper, we analyze the current binary partition multi-hop Broadcast Protocol and propose an enhanced solution, namely, Trinary Partition Black-Burst based Broadcast Protocol (3P3B) for Emergency Message (EM) dissemination. 3P3B provides low and constant latency regardless density and size of networks compared to existing solutions. It also enhances message dissemination speed and message progress distance. The main technique in the 3P3B is that 3P3B uses mini-slot DIFS to give a preemptive priority to very urgent EMs and deploys a trinary partition mechanism to select the furthest forwarder of the next communication hop. We prove that 3P3B recues the delay, increases dissemination speed, message progress distance, and outperforms the well-known existing Broadcast Protocols for EM dissemination in VANET.
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WCNC - Trinary Partition Black-Burst based Broadcast Protocol for Emergency Message dissemination in VANET
2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013Co-Authors: Chakkaphong Suthaputchakun, Mehrdad DianatiAbstract:In this paper, we analyze the current binary partition multi-hop Broadcast Protocol and propose an enhanced solution, namely, Trinary Partition Black-Burst based Broadcast Protocol (3P3B) for Emergency Message (EM) dissemination. 3P3B provides low and constant latency regardless density and size of networks compared to existing solutions. It also enhances message dissemination speed and message progress distance. The main technique in the 3P3B is that 3P3B uses mini-slot DIFS to give a preemptive priority to very urgent EMs and deploys a trinary partition mechanism to select the furthest forwarder of the next communication hop. We prove that 3P3B recues the delay, increases dissemination speed, message progress distance, and outperforms the well-known existing Broadcast Protocols for EM dissemination in VANET.
Toshihiko Kato - One of the best experts on this subject based on the ideXlab platform.
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An Intelligent Broadcast Protocol for VANETs Based on Transfer Learning
2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015Co-Authors: Celimuge Wu, Yusheng Ji, Xianfu Chen, Satoshi Ohzahata, Toshihiko KatoAbstract:Designing an efficient multi-hop Broadcast Protocol is very important for the realization of collision avoidance systems and other many interesting applications in vehicular ad hoc networks (VANETs). Existing Protocols are optimized for a specific scenario, and are not capable of working in various scenarios. Therefore, designing an intelligent Protocol which can tune itself in relation to the change of network environment is particularly important. In this paper, we propose a Broadcast Protocol which is able to make forwarding decision based on a self-learning mechanism. The Protocol employs a fuzzy logic-based relay node selection approach to take into account multiple metrics for the forwarding algorithm. The parameters used for the fuzzy logic are tuned online using a reinforcement learning approach. Transfer learning is used to transfer knowledge to new arriving vehicles (agents) in order to shorten the convergence time. The combination of reinforcement learning, transfer learning and fuzzy logic can provide an intelligent solution for Broadcasting in VANETs. We conduct computer simulations to evaluate the proposed Protocol.
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VTC Spring - An Intelligent Broadcast Protocol for VANETs Based on Transfer Learning
2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015Co-Authors: Celimuge Wu, Yusheng Ji, Xianfu Chen, Satoshi Ohzahata, Toshihiko KatoAbstract:Designing an efficient multi-hop Broadcast Protocol is very important for the realization of collision avoidance systems and other many interesting applications in vehicular ad hoc networks (VANETs). Existing Protocols are optimized for a specific scenario, and are not capable of working in various scenarios. Therefore, designing an intelligent Protocol which can tune itself in relation to the change of network environment is particularly important. In this paper, we propose a Broadcast Protocol which is able to make forwarding decision based on a self-learning mechanism. The Protocol employs a fuzzy logic-based relay node selection approach to take into account multiple metrics for the forwarding algorithm. The parameters used for the fuzzy logic are tuned online using a reinforcement learning approach. Transfer learning is used to transfer knowledge to new arriving vehicles (agents) in order to shorten the convergence time. The combination of reinforcement learning, transfer learning and fuzzy logic can provide an intelligent solution for Broadcasting in VANETs. We conduct computer simulations to evaluate the proposed Protocol.
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Joint MAC network layer Broadcast Protocol for vehicular ad hoc networks
2013 IEEE International Conference on Communications Workshops (ICC), 2013Co-Authors: Celimuge Wu, Satoshi Ohzahata, Toshihiko KatoAbstract:Packet dissemination ratio and end-to-end delay are the two most important metrics for multi-hop Broadcast Protocols in vehicular ad hoc networks (VANETs). In this paper, we propose a joint MAC network layer Broadcast Protocol. The proposed Protocol uses selected relay nodes to forward packets. A reliable communication is conducted between the sender node and each relay node by using MAC layer acknowledgments. The Protocol can provide a low delay and high packet dissemination ratio by reducing the packet loss detection delay and providing retransmissions at the MAC layer. We show the effectiveness of the proposed Protocol by using both theoretical analysis and computer simulations.
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ICC Workshops - Joint MAC network layer Broadcast Protocol for vehicular ad hoc networks
2013 IEEE International Conference on Communications Workshops (ICC), 2013Co-Authors: Celimuge Wu, Satoshi Ohzahata, Toshihiko KatoAbstract:Packet dissemination ratio and end-to-end delay are the two most important metrics for multi-hop Broadcast Protocols in vehicular ad hoc networks (VANETs). In this paper, we propose a joint MAC network layer Broadcast Protocol. The proposed Protocol uses selected relay nodes to forward packets. A reliable communication is conducted between the sender node and each relay node by using MAC layer acknowledgments. The Protocol can provide a low delay and high packet dissemination ratio by reducing the packet loss detection delay and providing retransmissions at the MAC layer. We show the effectiveness of the proposed Protocol by using both theoretical analysis and computer simulations.
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vanet Broadcast Protocol based on fuzzy logic and lightweight retransmission mechanism
IEICE Transactions on Communications, 2012Co-Authors: W U Celimuge, Satoshi Ohzahata, Toshihiko KatoAbstract:Vehicular ad hoc networks have been attracting the interest of both academic and industrial communities on account of their potential role in Intelligent Transportation Systems (ITS). However, due to vehicle movement and fading in wireless communications, providing a reliable and efficient multi-hop Broadcast service in vehicular ad hoc networks is still an open research topic. In this paper, we propose FUZZBR (FUZZy Broadcast), a fuzzy logic based multi-hop Broadcast Protocol for information dissemination in vehicular ad hoc networks. FUZZBR has low message overhead since it uses only a subset of neighbor nodes to relay data messages. In the relay node selection, FUZZBR jointly considers multiple metrics of inter-vehicle distance, node mobility and signal strength by employing the fuzzy logic. FUZZBR also uses a lightweight retransmission mechanism to retransmit a packet when a relay fails. We use computer simulations to evaluate the performance of FUZZBR.
Mehrdad Dianati - One of the best experts on this subject based on the ideXlab platform.
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Trinary Partitioned Black-Burst-Based Broadcast Protocol for Time-Critical Emergency Message Dissemination in VANETs
IEEE Transactions on Vehicular Technology, 2014Co-Authors: Chakkaphong Suthaputchakun, Mehrdad Dianati, Zhili SunAbstract:In this paper, we propose a multihop Broadcast Protocol for dissemination of time-critical emergency messages (EMs) in vehicular ad hoc networks (VANETs), where the IEEE 802.11p technology is used for communication among the nodes. The proposed trinary partitioned black-burst-based Broadcast Protocol (3P3B) consists of two primary mechanisms. First, a mini distributed interframe space (DIFS) in a medium access control (MAC) sublayer is introduced to give the time-critical EMs a higher access priority to the communication channel compared with other messages. Second, a trinary partitioning is designed to iteratively partition the communication range into small sectors. The trinary partitioning mechanism allows the farthest possible vehicle in the farthest sector from the sender node to perform forwarding to increase the dissemination speed by reducing the number of forwarding hops. In addition, 3P3B reduces the contention period jitter, which is independent of the density of vehicles, resulting in a more stable contention period. Analytical models are proposed for performance evaluation in conjunction with simulation-based performance analysis. The results demonstrate that 3P3B outperforms benchmarks of the existing Broadcast Protocols in VANETs in terms of the average message dissemination speed, message progress, communication delay, and packet delivery ratio.
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Trinary Partition Black-Burst based Broadcast Protocol for Emergency Message dissemination in VANET
2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013Co-Authors: Chakkaphong Suthaputchakun, Mehrdad DianatiAbstract:In this paper, we analyze the current binary partition multi-hop Broadcast Protocol and propose an enhanced solution, namely, Trinary Partition Black-Burst based Broadcast Protocol (3P3B) for Emergency Message (EM) dissemination. 3P3B provides low and constant latency regardless density and size of networks compared to existing solutions. It also enhances message dissemination speed and message progress distance. The main technique in the 3P3B is that 3P3B uses mini-slot DIFS to give a preemptive priority to very urgent EMs and deploys a trinary partition mechanism to select the furthest forwarder of the next communication hop. We prove that 3P3B recues the delay, increases dissemination speed, message progress distance, and outperforms the well-known existing Broadcast Protocols for EM dissemination in VANET.
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WCNC - Trinary Partition Black-Burst based Broadcast Protocol for Emergency Message dissemination in VANET
2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013Co-Authors: Chakkaphong Suthaputchakun, Mehrdad DianatiAbstract:In this paper, we analyze the current binary partition multi-hop Broadcast Protocol and propose an enhanced solution, namely, Trinary Partition Black-Burst based Broadcast Protocol (3P3B) for Emergency Message (EM) dissemination. 3P3B provides low and constant latency regardless density and size of networks compared to existing solutions. It also enhances message dissemination speed and message progress distance. The main technique in the 3P3B is that 3P3B uses mini-slot DIFS to give a preemptive priority to very urgent EMs and deploys a trinary partition mechanism to select the furthest forwarder of the next communication hop. We prove that 3P3B recues the delay, increases dissemination speed, message progress distance, and outperforms the well-known existing Broadcast Protocols for EM dissemination in VANET.
Celimuge Wu - One of the best experts on this subject based on the ideXlab platform.
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An Intelligent Broadcast Protocol for VANETs Based on Transfer Learning
2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015Co-Authors: Celimuge Wu, Yusheng Ji, Xianfu Chen, Satoshi Ohzahata, Toshihiko KatoAbstract:Designing an efficient multi-hop Broadcast Protocol is very important for the realization of collision avoidance systems and other many interesting applications in vehicular ad hoc networks (VANETs). Existing Protocols are optimized for a specific scenario, and are not capable of working in various scenarios. Therefore, designing an intelligent Protocol which can tune itself in relation to the change of network environment is particularly important. In this paper, we propose a Broadcast Protocol which is able to make forwarding decision based on a self-learning mechanism. The Protocol employs a fuzzy logic-based relay node selection approach to take into account multiple metrics for the forwarding algorithm. The parameters used for the fuzzy logic are tuned online using a reinforcement learning approach. Transfer learning is used to transfer knowledge to new arriving vehicles (agents) in order to shorten the convergence time. The combination of reinforcement learning, transfer learning and fuzzy logic can provide an intelligent solution for Broadcasting in VANETs. We conduct computer simulations to evaluate the proposed Protocol.
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VTC Spring - An Intelligent Broadcast Protocol for VANETs Based on Transfer Learning
2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015Co-Authors: Celimuge Wu, Yusheng Ji, Xianfu Chen, Satoshi Ohzahata, Toshihiko KatoAbstract:Designing an efficient multi-hop Broadcast Protocol is very important for the realization of collision avoidance systems and other many interesting applications in vehicular ad hoc networks (VANETs). Existing Protocols are optimized for a specific scenario, and are not capable of working in various scenarios. Therefore, designing an intelligent Protocol which can tune itself in relation to the change of network environment is particularly important. In this paper, we propose a Broadcast Protocol which is able to make forwarding decision based on a self-learning mechanism. The Protocol employs a fuzzy logic-based relay node selection approach to take into account multiple metrics for the forwarding algorithm. The parameters used for the fuzzy logic are tuned online using a reinforcement learning approach. Transfer learning is used to transfer knowledge to new arriving vehicles (agents) in order to shorten the convergence time. The combination of reinforcement learning, transfer learning and fuzzy logic can provide an intelligent solution for Broadcasting in VANETs. We conduct computer simulations to evaluate the proposed Protocol.
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Joint MAC network layer Broadcast Protocol for vehicular ad hoc networks
2013 IEEE International Conference on Communications Workshops (ICC), 2013Co-Authors: Celimuge Wu, Satoshi Ohzahata, Toshihiko KatoAbstract:Packet dissemination ratio and end-to-end delay are the two most important metrics for multi-hop Broadcast Protocols in vehicular ad hoc networks (VANETs). In this paper, we propose a joint MAC network layer Broadcast Protocol. The proposed Protocol uses selected relay nodes to forward packets. A reliable communication is conducted between the sender node and each relay node by using MAC layer acknowledgments. The Protocol can provide a low delay and high packet dissemination ratio by reducing the packet loss detection delay and providing retransmissions at the MAC layer. We show the effectiveness of the proposed Protocol by using both theoretical analysis and computer simulations.
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ICC Workshops - Joint MAC network layer Broadcast Protocol for vehicular ad hoc networks
2013 IEEE International Conference on Communications Workshops (ICC), 2013Co-Authors: Celimuge Wu, Satoshi Ohzahata, Toshihiko KatoAbstract:Packet dissemination ratio and end-to-end delay are the two most important metrics for multi-hop Broadcast Protocols in vehicular ad hoc networks (VANETs). In this paper, we propose a joint MAC network layer Broadcast Protocol. The proposed Protocol uses selected relay nodes to forward packets. A reliable communication is conducted between the sender node and each relay node by using MAC layer acknowledgments. The Protocol can provide a low delay and high packet dissemination ratio by reducing the packet loss detection delay and providing retransmissions at the MAC layer. We show the effectiveness of the proposed Protocol by using both theoretical analysis and computer simulations.
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a novel multi hop Broadcast Protocol for vehicular safety applications
Journal of Information Processing, 2010Co-Authors: Celimuge Wu, Kazuya Kumekawa, Toshihiko KatoAbstract:Many safety applications in Vehicular Ad hoc Networks (VANETs) are based on Broadcast. Designing a Broadcast Protocol that satisfies VANET applications' requirements is very crucial. In this paper, we propose a reliable and efficient multi-hop Broadcast routing Protocol for VANETs. The proposed Protocol provides the strict reliability in various traffic conditions. This Protocol also performs low overhead by means of reducing reBroadcast redundancy in a high-density network environment. We also propose an enhanced multipoint relay (MPR) selection algorithm that considers vehicles' mobility and then use it for relay node selection. We show the performance analysis of the proposed Protocol by simulation with ns-2 in different conditions, and give the simulation results demonstrating effectiveness of the proposed Protocol compared with other VANET Broadcast schemes.
Yusheng Ji - One of the best experts on this subject based on the ideXlab platform.
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Skolem Sequence Based Self-Adaptive Broadcast Protocol in Cognitive Radio Networks
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016Co-Authors: Lin Chen, Zhiping Xiao, Kaigui Bian, Rui Li, Yusheng JiAbstract:The base station (BS) in a multi-channel cognitive radio (CR) network has to Broadcast to secondary (or unlicensed) receivers/users on more than one Broadcast channels via channel hopping (CH), because a single Broadcast channel can be reclaimed by the primary (or licensed) user, leading to Broadcast failures. Meanwhile, a secondary receiver needs to synchronize its clock with the BS's clock to avoid Broadcast failures caused by the possible clock drift between the CH sequences of the secondary receiver and the BS. In this paper, we propose a CH-based Broadcast Protocol called SASS, which enables a BS to successfully Broadcast to secondary receivers over multiple Broadcast channels via channel hopping. Specifically, the CH sequences are constructed on basis of a mathematical construct- the Self-Adaptive Skolem Sequence (SASS). Moreover, each secondary receiver under SASS is able to adaptively synchronize its clock with that of the BS without any information exchanges, regardless of any amount of clock drift.
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An Intelligent Broadcast Protocol for VANETs Based on Transfer Learning
2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015Co-Authors: Celimuge Wu, Yusheng Ji, Xianfu Chen, Satoshi Ohzahata, Toshihiko KatoAbstract:Designing an efficient multi-hop Broadcast Protocol is very important for the realization of collision avoidance systems and other many interesting applications in vehicular ad hoc networks (VANETs). Existing Protocols are optimized for a specific scenario, and are not capable of working in various scenarios. Therefore, designing an intelligent Protocol which can tune itself in relation to the change of network environment is particularly important. In this paper, we propose a Broadcast Protocol which is able to make forwarding decision based on a self-learning mechanism. The Protocol employs a fuzzy logic-based relay node selection approach to take into account multiple metrics for the forwarding algorithm. The parameters used for the fuzzy logic are tuned online using a reinforcement learning approach. Transfer learning is used to transfer knowledge to new arriving vehicles (agents) in order to shorten the convergence time. The combination of reinforcement learning, transfer learning and fuzzy logic can provide an intelligent solution for Broadcasting in VANETs. We conduct computer simulations to evaluate the proposed Protocol.
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VTC Spring - An Intelligent Broadcast Protocol for VANETs Based on Transfer Learning
2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015Co-Authors: Celimuge Wu, Yusheng Ji, Xianfu Chen, Satoshi Ohzahata, Toshihiko KatoAbstract:Designing an efficient multi-hop Broadcast Protocol is very important for the realization of collision avoidance systems and other many interesting applications in vehicular ad hoc networks (VANETs). Existing Protocols are optimized for a specific scenario, and are not capable of working in various scenarios. Therefore, designing an intelligent Protocol which can tune itself in relation to the change of network environment is particularly important. In this paper, we propose a Broadcast Protocol which is able to make forwarding decision based on a self-learning mechanism. The Protocol employs a fuzzy logic-based relay node selection approach to take into account multiple metrics for the forwarding algorithm. The parameters used for the fuzzy logic are tuned online using a reinforcement learning approach. Transfer learning is used to transfer knowledge to new arriving vehicles (agents) in order to shorten the convergence time. The combination of reinforcement learning, transfer learning and fuzzy logic can provide an intelligent solution for Broadcasting in VANETs. We conduct computer simulations to evaluate the proposed Protocol.
