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Camille Rabbath - One of the best experts on this subject based on the ideXlab platform.
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Packet Delay in uav wireless networks under non saturated traffic and channel fading conditions
Wireless Personal Communications, 2013Co-Authors: Jun Li, Yifeng Zhou, Louise Lamont, Mylene Toulgoat, Camille RabbathAbstract:In this paper, we conduct a statistical analysis for the Packet Delay in a wireless network of unmanned aerial vehicles (UAVs) under non-saturated traffic and channel fading conditions. Each UAV runs the distributed coordination function of IEEE 802.11 at the medium access control layer, and all UAVs are one-hop neighbors. A pair of UAVs can communicate over the lossy wireless channel of a fixed data rate. A non-saturated traffic condition is used. By modeling each node UAV as a standard queueing system (i.e., $$M/M/1$$ or $$M/G/1$$ queue), we derive the mean Packet Delay under the non-saturated traffic condition. Numerical and simulation results show that the mean Packet Delay derived based on $$M/M/1$$ queue is accurate for UAV wireless networks under the non-saturated traffic condition and with an independent Packet error rate. It is observed that the mean Packet Delay increases with either the number of UAVs in the network or the Packet generation rate. More important, existing results in the literature, based on the saturated traffic condition (i.e., Packets are always supplied for transmission), tend to overestimate by a large amount the mean Packet Delay for networks with non-saturated traffic. In the second part of this paper, we apply simulation data to analysis of the probability distribution function of the Packet Delay when the Packet error rate equals zero. Using a distribution fitting tool, we observe that the Packet Delay can be well approximated by the sum of a deterministic Delay, which corresponds to the time period during which the UAV senses the medium and is able to perform a successful transmission, and a random Delay, which follows a Gamma distribution function.
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Packet Delay in UAV Wireless Networks Under Non-saturated Traffic and Channel Fading Conditions
Wireless Personal Communications, 2013Co-Authors: Yifeng Zhou, Louise Lamont, Mylene Toulgoat, Camille RabbathAbstract:In this paper, we conduct a statistical analysis for the Packet Delay in a wireless network of unmanned aerial vehicles (UAVs) under non-saturated traffic and channel fading conditions. Each UAV runs the distributed coordination function of IEEE 802.11 at the medium access control layer, and all UAVs are one-hop neighbors. A pair of UAVs can communicate over the lossy wireless channel of a fixed data rate. A non-saturated traffic condition is used. By modeling each node UAV as a standard queueing system (i.e., $$M/M/1$$ or $$M/G/1$$ queue), we derive the mean Packet Delay under the non-saturated traffic condition. Numerical and simulation results show that the mean Packet Delay derived based on $$M/M/1$$ queue is accurate for UAV wireless networks under the non-saturated traffic condition and with an independent Packet error rate. It is observed that the mean Packet Delay increases with either the number of UAVs in the network or the Packet generation rate. More important, existing results in the literature, based on the saturated traffic condition (i.e., Packets are always supplied for transmission), tend to overestimate by a large amount the mean Packet Delay for networks with non-saturated traffic. In the second part of this paper, we apply simulation data to analysis of the probability distribution function of the Packet Delay when the Packet error rate equals zero. Using a distribution fitting tool, we observe that the Packet Delay can be well approximated by the sum of a deterministic Delay, which corresponds to the time period during which the UAV senses the medium and is able to perform a successful transmission, and a random Delay, which follows a Gamma distribution function.
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ADHOCNETS - Analysis of One-Hop Packet Delay in MANETs over IEEE 802.11 DCF
Ad Hoc Networks, 2010Co-Authors: Yifeng Zhou, Louise Lamont, Camille RabbathAbstract:In mobile ad hoc networks (MANETs), the estimation of Packet end-to-end Delay depends on that of one-hop Packet Delay. In this paper, we conduct an analysis of the one-hop Packet Delay in MANETs, where the medium access control (MAC) layer uses the IEEE 802.11 distributed coordination function (DCF) to share the medium. In the MANET, each node runs the IEEE 802.11 DCF and a routing protocol. It is assumed that all nodes are one-hop neighbors, and that any pair of nodes can send data over the wireless channel with a fixed data rate. The light traffic condition is used, i.e., each node generates Packets at the network layer according to a Poisson process. By modeling each wireless node as an M/M/1 queueing system, we derive the mean one-hop Packet Delay analytically under the light traffic condition. Simulation analysis is carried out to verify the derived results. Results show that the mean one-hop Packet Delay increases with either the network size or the Packet generation rate in networks subject to the light traffic condition. The mean one-hop Packet Delay derived in this paper is analytical and exact for networks under the light traffic condition. Results that can be found in the literature are usually based on the heavy traffic condition, and they tend to overestimate by a large amount the mean one-hop Delay for networks with light traffic.
Eduardo Casilari - One of the best experts on this subject based on the ideXlab platform.
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Experimental analysis and characterization of Packet Delay in UMTS networks
Lecture Notes in Computer Science, 2006Co-Authors: José Manuel Cano-garcía, Eva González-parada, Eduardo CasilariAbstract:This paper presents the results of a set of experiments aiming to characterize the behaviour of the IP data service over a real UMTS network. According to our empirical measurements, Packet losses are not frequent, meaning that UMTS link-level retransmission mechanisms are adequate to cope with data corruption through the wireless link. However, ARQ loss recovery mechanisms produce a high variability of the Packet Delay, which can also affect the performance of the IP data service. By analysing actual UMTS traces, we explore the behaviour of the Packet Delay through the UMTS network, explaining the effects of the underlying mechanisms. Finally, we derive a simple model to imitate the behaviour of UMTS Internet access. This model could be very useful in simulation or emulation experiments.
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NEW2AN - Experimental analysis and characterization of Packet Delay in UMTS networks
Next Generation Teletraffic and Wired Wireless Advanced Networking, 2006Co-Authors: José Manuel Cano-garcía, Eva González-parada, Eduardo CasilariAbstract:This paper presents the results of a set of experiments aiming to characterize the behaviour of the IP data service over a real UMTS network. According to our empirical measurements, Packet losses are not frequent, meaning that UMTS link-level retransmission mechanisms are adequate to cope with data corruption through the wireless link. However, ARQ loss recovery mechanisms produce a high variability of the Packet Delay, which can also affect the performance of the IP data service. By analysing actual UMTS traces, we explore the behaviour of the Packet Delay through the UMTS network, explaining the effects of the underlying mechanisms. Finally, we derive a simple model to imitate the behaviour of UMTS Internet access. This model could be very useful in simulation or emulation experiments.
Yifeng Zhou - One of the best experts on this subject based on the ideXlab platform.
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Packet Delay in UAV Wireless Networks Under Non-saturated Traffic and Channel Fading Conditions
Wireless Personal Communications, 2013Co-Authors: Yifeng Zhou, Louise Lamont, Mylene Toulgoat, Camille RabbathAbstract:In this paper, we conduct a statistical analysis for the Packet Delay in a wireless network of unmanned aerial vehicles (UAVs) under non-saturated traffic and channel fading conditions. Each UAV runs the distributed coordination function of IEEE 802.11 at the medium access control layer, and all UAVs are one-hop neighbors. A pair of UAVs can communicate over the lossy wireless channel of a fixed data rate. A non-saturated traffic condition is used. By modeling each node UAV as a standard queueing system (i.e., $$M/M/1$$ or $$M/G/1$$ queue), we derive the mean Packet Delay under the non-saturated traffic condition. Numerical and simulation results show that the mean Packet Delay derived based on $$M/M/1$$ queue is accurate for UAV wireless networks under the non-saturated traffic condition and with an independent Packet error rate. It is observed that the mean Packet Delay increases with either the number of UAVs in the network or the Packet generation rate. More important, existing results in the literature, based on the saturated traffic condition (i.e., Packets are always supplied for transmission), tend to overestimate by a large amount the mean Packet Delay for networks with non-saturated traffic. In the second part of this paper, we apply simulation data to analysis of the probability distribution function of the Packet Delay when the Packet error rate equals zero. Using a distribution fitting tool, we observe that the Packet Delay can be well approximated by the sum of a deterministic Delay, which corresponds to the time period during which the UAV senses the medium and is able to perform a successful transmission, and a random Delay, which follows a Gamma distribution function.
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Packet Delay in uav wireless networks under non saturated traffic and channel fading conditions
Wireless Personal Communications, 2013Co-Authors: Jun Li, Yifeng Zhou, Louise Lamont, Mylene Toulgoat, Camille RabbathAbstract:In this paper, we conduct a statistical analysis for the Packet Delay in a wireless network of unmanned aerial vehicles (UAVs) under non-saturated traffic and channel fading conditions. Each UAV runs the distributed coordination function of IEEE 802.11 at the medium access control layer, and all UAVs are one-hop neighbors. A pair of UAVs can communicate over the lossy wireless channel of a fixed data rate. A non-saturated traffic condition is used. By modeling each node UAV as a standard queueing system (i.e., $$M/M/1$$ or $$M/G/1$$ queue), we derive the mean Packet Delay under the non-saturated traffic condition. Numerical and simulation results show that the mean Packet Delay derived based on $$M/M/1$$ queue is accurate for UAV wireless networks under the non-saturated traffic condition and with an independent Packet error rate. It is observed that the mean Packet Delay increases with either the number of UAVs in the network or the Packet generation rate. More important, existing results in the literature, based on the saturated traffic condition (i.e., Packets are always supplied for transmission), tend to overestimate by a large amount the mean Packet Delay for networks with non-saturated traffic. In the second part of this paper, we apply simulation data to analysis of the probability distribution function of the Packet Delay when the Packet error rate equals zero. Using a distribution fitting tool, we observe that the Packet Delay can be well approximated by the sum of a deterministic Delay, which corresponds to the time period during which the UAV senses the medium and is able to perform a successful transmission, and a random Delay, which follows a Gamma distribution function.
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Packet Delay Statistics of the Multichannel Selective-Repeat Automatic-Repeat-Request
Wireless Personal Communications, 2012Co-Authors: Jun Li, Yiqiang Q. Zhao, Yifeng Zhou, Louise LamontAbstract:In this paper, we conduct stochastic modeling and analysis of the Packet end-to-end Delay in a multichannel selective-repeat automatic-repeat-request (MSR-ARQ) protocol. In this protocol, the transmitter continuously transmits Packets over multiple parallel channels and retransmits erroneously received Packets with either dynamic or static Packet-to-channel scheduling policy. Under the assumption that Packets are always supplied at the transmitter, denoted by the saturated traffic condition, we analyze the steady state probability distribution function of the Delay of an arbitrary Packet, which is measured by the duration between the instant at which the Packet is transmitted for the first time and the time it departs from the resequencing queue at the receiver. Using the analysis result, we numerically compute the distribution function for chosen values of the number of channels and the error rates to demonstrate the computational effectiveness of the result. With numerical and simulation results, we then study the performance of MSR-ARQ in terms of the mean Packet Delay and compare the two scheduling policies. It is shown that the dynamic scheduling achieves a better Packet Delay performance than the static scheduling. With the dynamic scheduling and the presence of difference between the error rates of parallel channels, the mean Packet Delay decreases as the difference between channels’ error rates increases. Moreover, the number of parallel channels has an insignificant impact on the mean Packet Delay, which shows that the use of parallel channels is favorable for the wireless or mobile communications to increase the data transmission rate while keeping the mean Packet Delay at an acceptable level.
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ADHOCNETS - Analysis of One-Hop Packet Delay in MANETs over IEEE 802.11 DCF
Ad Hoc Networks, 2010Co-Authors: Yifeng Zhou, Louise Lamont, Camille RabbathAbstract:In mobile ad hoc networks (MANETs), the estimation of Packet end-to-end Delay depends on that of one-hop Packet Delay. In this paper, we conduct an analysis of the one-hop Packet Delay in MANETs, where the medium access control (MAC) layer uses the IEEE 802.11 distributed coordination function (DCF) to share the medium. In the MANET, each node runs the IEEE 802.11 DCF and a routing protocol. It is assumed that all nodes are one-hop neighbors, and that any pair of nodes can send data over the wireless channel with a fixed data rate. The light traffic condition is used, i.e., each node generates Packets at the network layer according to a Poisson process. By modeling each wireless node as an M/M/1 queueing system, we derive the mean one-hop Packet Delay analytically under the light traffic condition. Simulation analysis is carried out to verify the derived results. Results show that the mean one-hop Packet Delay increases with either the network size or the Packet generation rate in networks subject to the light traffic condition. The mean one-hop Packet Delay derived in this paper is analytical and exact for networks under the light traffic condition. Results that can be found in the literature are usually based on the heavy traffic condition, and they tend to overestimate by a large amount the mean one-hop Delay for networks with light traffic.
Louise Lamont - One of the best experts on this subject based on the ideXlab platform.
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Packet Delay in UAV Wireless Networks Under Non-saturated Traffic and Channel Fading Conditions
Wireless Personal Communications, 2013Co-Authors: Yifeng Zhou, Louise Lamont, Mylene Toulgoat, Camille RabbathAbstract:In this paper, we conduct a statistical analysis for the Packet Delay in a wireless network of unmanned aerial vehicles (UAVs) under non-saturated traffic and channel fading conditions. Each UAV runs the distributed coordination function of IEEE 802.11 at the medium access control layer, and all UAVs are one-hop neighbors. A pair of UAVs can communicate over the lossy wireless channel of a fixed data rate. A non-saturated traffic condition is used. By modeling each node UAV as a standard queueing system (i.e., $$M/M/1$$ or $$M/G/1$$ queue), we derive the mean Packet Delay under the non-saturated traffic condition. Numerical and simulation results show that the mean Packet Delay derived based on $$M/M/1$$ queue is accurate for UAV wireless networks under the non-saturated traffic condition and with an independent Packet error rate. It is observed that the mean Packet Delay increases with either the number of UAVs in the network or the Packet generation rate. More important, existing results in the literature, based on the saturated traffic condition (i.e., Packets are always supplied for transmission), tend to overestimate by a large amount the mean Packet Delay for networks with non-saturated traffic. In the second part of this paper, we apply simulation data to analysis of the probability distribution function of the Packet Delay when the Packet error rate equals zero. Using a distribution fitting tool, we observe that the Packet Delay can be well approximated by the sum of a deterministic Delay, which corresponds to the time period during which the UAV senses the medium and is able to perform a successful transmission, and a random Delay, which follows a Gamma distribution function.
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Packet Delay in uav wireless networks under non saturated traffic and channel fading conditions
Wireless Personal Communications, 2013Co-Authors: Jun Li, Yifeng Zhou, Louise Lamont, Mylene Toulgoat, Camille RabbathAbstract:In this paper, we conduct a statistical analysis for the Packet Delay in a wireless network of unmanned aerial vehicles (UAVs) under non-saturated traffic and channel fading conditions. Each UAV runs the distributed coordination function of IEEE 802.11 at the medium access control layer, and all UAVs are one-hop neighbors. A pair of UAVs can communicate over the lossy wireless channel of a fixed data rate. A non-saturated traffic condition is used. By modeling each node UAV as a standard queueing system (i.e., $$M/M/1$$ or $$M/G/1$$ queue), we derive the mean Packet Delay under the non-saturated traffic condition. Numerical and simulation results show that the mean Packet Delay derived based on $$M/M/1$$ queue is accurate for UAV wireless networks under the non-saturated traffic condition and with an independent Packet error rate. It is observed that the mean Packet Delay increases with either the number of UAVs in the network or the Packet generation rate. More important, existing results in the literature, based on the saturated traffic condition (i.e., Packets are always supplied for transmission), tend to overestimate by a large amount the mean Packet Delay for networks with non-saturated traffic. In the second part of this paper, we apply simulation data to analysis of the probability distribution function of the Packet Delay when the Packet error rate equals zero. Using a distribution fitting tool, we observe that the Packet Delay can be well approximated by the sum of a deterministic Delay, which corresponds to the time period during which the UAV senses the medium and is able to perform a successful transmission, and a random Delay, which follows a Gamma distribution function.
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Packet Delay Statistics of the Multichannel Selective-Repeat Automatic-Repeat-Request
Wireless Personal Communications, 2012Co-Authors: Jun Li, Yiqiang Q. Zhao, Yifeng Zhou, Louise LamontAbstract:In this paper, we conduct stochastic modeling and analysis of the Packet end-to-end Delay in a multichannel selective-repeat automatic-repeat-request (MSR-ARQ) protocol. In this protocol, the transmitter continuously transmits Packets over multiple parallel channels and retransmits erroneously received Packets with either dynamic or static Packet-to-channel scheduling policy. Under the assumption that Packets are always supplied at the transmitter, denoted by the saturated traffic condition, we analyze the steady state probability distribution function of the Delay of an arbitrary Packet, which is measured by the duration between the instant at which the Packet is transmitted for the first time and the time it departs from the resequencing queue at the receiver. Using the analysis result, we numerically compute the distribution function for chosen values of the number of channels and the error rates to demonstrate the computational effectiveness of the result. With numerical and simulation results, we then study the performance of MSR-ARQ in terms of the mean Packet Delay and compare the two scheduling policies. It is shown that the dynamic scheduling achieves a better Packet Delay performance than the static scheduling. With the dynamic scheduling and the presence of difference between the error rates of parallel channels, the mean Packet Delay decreases as the difference between channels’ error rates increases. Moreover, the number of parallel channels has an insignificant impact on the mean Packet Delay, which shows that the use of parallel channels is favorable for the wireless or mobile communications to increase the data transmission rate while keeping the mean Packet Delay at an acceptable level.
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ADHOCNETS - Analysis of One-Hop Packet Delay in MANETs over IEEE 802.11 DCF
Ad Hoc Networks, 2010Co-Authors: Yifeng Zhou, Louise Lamont, Camille RabbathAbstract:In mobile ad hoc networks (MANETs), the estimation of Packet end-to-end Delay depends on that of one-hop Packet Delay. In this paper, we conduct an analysis of the one-hop Packet Delay in MANETs, where the medium access control (MAC) layer uses the IEEE 802.11 distributed coordination function (DCF) to share the medium. In the MANET, each node runs the IEEE 802.11 DCF and a routing protocol. It is assumed that all nodes are one-hop neighbors, and that any pair of nodes can send data over the wireless channel with a fixed data rate. The light traffic condition is used, i.e., each node generates Packets at the network layer according to a Poisson process. By modeling each wireless node as an M/M/1 queueing system, we derive the mean one-hop Packet Delay analytically under the light traffic condition. Simulation analysis is carried out to verify the derived results. Results show that the mean one-hop Packet Delay increases with either the network size or the Packet generation rate in networks subject to the light traffic condition. The mean one-hop Packet Delay derived in this paper is analytical and exact for networks under the light traffic condition. Results that can be found in the literature are usually based on the heavy traffic condition, and they tend to overestimate by a large amount the mean one-hop Delay for networks with light traffic.
Jonathon A Chambers - One of the best experts on this subject based on the ideXlab platform.
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buffer aided relay selection with reduced Packet Delay in cooperative networks
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Zhao Tian, Yu Gong, Gaojie Chen, Jonathon A ChambersAbstract:Applying data buffers at relay nodes significantly improves the outage performance in relay networks, but the performance gain is often at the price of long Packet Delays. In this paper, a novel relay selection scheme with significantly reduced Packet Delay is proposed. The outage probability and average Packet Delay of the proposed scheme under different channel scenarios are analyzed. Simulation results are also given to verify the analysis. The analytical and simulation results show that, compared with non-buffer-aided relay selection schemes, the proposed scheme has not only significant gain in outage performance but also similar average Packet Delay when the channel signal-to-noise ratio (SNR) is high enough, making it an attractive scheme in practice.
