The Experts below are selected from a list of 7506 Experts worldwide ranked by ideXlab platform
Tian He - One of the best experts on this subject based on the ideXlab platform.
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Poster Abstract: Dynamic Switching-based Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks ∗
2020Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliableflooding over a variety of existingflooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
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Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations, and has been extensively investigated. However, relatively little work has been done for reliable flooding in lowduty-cycle WSNs with unreliable wireless links. It is a challenging problem to efficiently ensure 100% flooding coverage considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable delivery for a variety of existing flooding tree structures in lowduty-cycle WSNs. The key novelty of DSRF lies in the Dynamic Switching decision making when encountering a transmission failure, where a flooding tree structure is Dynamically adjusted based on the packet reception results for energy saving and delay reduction. DSRF is distinctive from existing works in that it explores both poor links and good links on demand. Through comprehensive performance comparisons, we demonstrate that, compared with the flooding protocol without DSRF enhancement, DSRF effectively reduces the flooding delay and the total number of packet transmission by 12% 25% and 10% 15%, respectively. Remarkably, the achieved performance is close to the theoretical lower bound.
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INFOCOM - Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations, and has been extensively investigated. However, relatively little work has been done for reliable flooding in lowduty-cycle WSNs with unreliable wireless links. It is a challenging problem to efficiently ensure 100% flooding coverage considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable delivery for a variety of existing flooding tree structures in lowduty-cycle WSNs. The key novelty of DSRF lies in the Dynamic Switching decision making when encountering a transmission failure, where a flooding tree structure is Dynamically adjusted based on the packet reception results for energy saving and delay reduction. DSRF is distinctive from existing works in that it explores both poor links and good links on demand. Through comprehensive performance comparisons, we demonstrate that, compared with the flooding protocol without DSRF enhancement, DSRF effectively reduces the flooding delay and the total number of packet transmission by 12% 25% and 10% 15%, respectively. Remarkably, the achieved performance is close to the theoretical lower bound.
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Dynamic Switching based reliable flooding in low duty cycle wireless sensor networks
International Conference on Embedded Networked Sensor Systems, 2012Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable flooding over a variety of existing flooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
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SenSys - Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems - SenSys '12, 2012Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable flooding over a variety of existing flooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
Long Cheng - One of the best experts on this subject based on the ideXlab platform.
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Poster Abstract: Dynamic Switching-based Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks ∗
2020Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliableflooding over a variety of existingflooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
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Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations, and has been extensively investigated. However, relatively little work has been done for reliable flooding in lowduty-cycle WSNs with unreliable wireless links. It is a challenging problem to efficiently ensure 100% flooding coverage considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable delivery for a variety of existing flooding tree structures in lowduty-cycle WSNs. The key novelty of DSRF lies in the Dynamic Switching decision making when encountering a transmission failure, where a flooding tree structure is Dynamically adjusted based on the packet reception results for energy saving and delay reduction. DSRF is distinctive from existing works in that it explores both poor links and good links on demand. Through comprehensive performance comparisons, we demonstrate that, compared with the flooding protocol without DSRF enhancement, DSRF effectively reduces the flooding delay and the total number of packet transmission by 12% 25% and 10% 15%, respectively. Remarkably, the achieved performance is close to the theoretical lower bound.
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INFOCOM - Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations, and has been extensively investigated. However, relatively little work has been done for reliable flooding in lowduty-cycle WSNs with unreliable wireless links. It is a challenging problem to efficiently ensure 100% flooding coverage considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable delivery for a variety of existing flooding tree structures in lowduty-cycle WSNs. The key novelty of DSRF lies in the Dynamic Switching decision making when encountering a transmission failure, where a flooding tree structure is Dynamically adjusted based on the packet reception results for energy saving and delay reduction. DSRF is distinctive from existing works in that it explores both poor links and good links on demand. Through comprehensive performance comparisons, we demonstrate that, compared with the flooding protocol without DSRF enhancement, DSRF effectively reduces the flooding delay and the total number of packet transmission by 12% 25% and 10% 15%, respectively. Remarkably, the achieved performance is close to the theoretical lower bound.
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Dynamic Switching based reliable flooding in low duty cycle wireless sensor networks
International Conference on Embedded Networked Sensor Systems, 2012Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable flooding over a variety of existing flooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
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SenSys - Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems - SenSys '12, 2012Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable flooding over a variety of existing flooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
Yu Gu - One of the best experts on this subject based on the ideXlab platform.
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Poster Abstract: Dynamic Switching-based Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks ∗
2020Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliableflooding over a variety of existingflooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
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Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations, and has been extensively investigated. However, relatively little work has been done for reliable flooding in lowduty-cycle WSNs with unreliable wireless links. It is a challenging problem to efficiently ensure 100% flooding coverage considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable delivery for a variety of existing flooding tree structures in lowduty-cycle WSNs. The key novelty of DSRF lies in the Dynamic Switching decision making when encountering a transmission failure, where a flooding tree structure is Dynamically adjusted based on the packet reception results for energy saving and delay reduction. DSRF is distinctive from existing works in that it explores both poor links and good links on demand. Through comprehensive performance comparisons, we demonstrate that, compared with the flooding protocol without DSRF enhancement, DSRF effectively reduces the flooding delay and the total number of packet transmission by 12% 25% and 10% 15%, respectively. Remarkably, the achieved performance is close to the theoretical lower bound.
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INFOCOM - Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
2013 Proceedings IEEE INFOCOM, 2013Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations, and has been extensively investigated. However, relatively little work has been done for reliable flooding in lowduty-cycle WSNs with unreliable wireless links. It is a challenging problem to efficiently ensure 100% flooding coverage considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable delivery for a variety of existing flooding tree structures in lowduty-cycle WSNs. The key novelty of DSRF lies in the Dynamic Switching decision making when encountering a transmission failure, where a flooding tree structure is Dynamically adjusted based on the packet reception results for energy saving and delay reduction. DSRF is distinctive from existing works in that it explores both poor links and good links on demand. Through comprehensive performance comparisons, we demonstrate that, compared with the flooding protocol without DSRF enhancement, DSRF effectively reduces the flooding delay and the total number of packet transmission by 12% 25% and 10% 15%, respectively. Remarkably, the achieved performance is close to the theoretical lower bound.
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Dynamic Switching based reliable flooding in low duty cycle wireless sensor networks
International Conference on Embedded Networked Sensor Systems, 2012Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable flooding over a variety of existing flooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
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SenSys - Dynamic Switching-based reliable flooding in low-duty-cycle wireless sensor networks
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems - SenSys '12, 2012Co-Authors: Long Cheng, Yu Gu, Tian HeAbstract:Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel Dynamic Switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable flooding over a variety of existing flooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.
M. Rahimo - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Switching and short circuit capability of 6.5kV silicon carbide MOSFETs
2018 IEEE 30th International Symposium on Power Semiconductor Devices and ICs (ISPSD), 2018Co-Authors: L. Knoll, A. Mihaila, L. Kranz, M. Bellini, S. Wirths, E. Bianda, C. Papadopoulos, M. RahimoAbstract:Electrically robust 6.5kV SiC MOSFETs are investigated for the static and Dynamic performance, short circuit capability and safe operation area (SOA). SiC MOSFETs rated at 6.5kV were fabricated with different cell pitches from 12μm to 26μm that are able to withstand short circuit pulses of up to 8μs and have a turn-off SOA at 4400V up to twice the nominal current Inom. The paralleling of four MOSFETs was tested to represent a realistic setup while showing a substantial reduction in the Switching loss by more than 80% compared to a silicon IGBT and Diode.
Yuping Zhao - One of the best experts on this subject based on the ideXlab platform.
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Cross-layer design of AMC and truncated HARQ using Dynamic Switching thresholds
2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013Co-Authors: Peng Zhang, Yuzhuang Miao, Yuping ZhaoAbstract:In this paper, we develop a cross-layer design incorporating adaptive modulation coding (AMC) and truncated hybrid automatic repeat request (HARQ). We define different packet error rate (PER) constraints for each (re)transmission, thus adopting Dynamic Switching thresholds correspondingly to fully exploit the combining gain in HARQ protocols. Analytical expressions for performance metrics are derived, based on which both multidimensional and simplified single-dimensional optimization problems are proposed to maximize the average spectral efficiency. Numerical results are obtained for analysis and our design has shown considerable performance improvement compared with conventional Switching thresholds. Moreover, the single-dimensional optimization approach implies a suitable tradeoff between throughput and complexity.
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WCNC - Cross-layer design of AMC and truncated HARQ using Dynamic Switching thresholds
2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013Co-Authors: Peng Zhang, Yuzhuang Miao, Yuping ZhaoAbstract:In this paper, we develop a cross-layer design incorporating adaptive modulation coding (AMC) and truncated hybrid automatic repeat request (HARQ). We define different packet error rate (PER) constraints for each (re)transmission, thus adopting Dynamic Switching thresholds correspondingly to fully exploit the combining gain in HARQ protocols. Analytical expressions for performance metrics are derived, based on which both multidimensional and simplified single-dimensional optimization problems are proposed to maximize the average spectral efficiency. Numerical results are obtained for analysis and our design has shown considerable performance improvement compared with conventional Switching thresholds. Moreover, the single-dimensional optimization approach implies a suitable tradeoff between throughput and complexity.
