Characterizing Multihop Aerial Networks of COTS Multirotors

Pinto, Luis Ramos; Moreira, Andre; Almeida, Luís; Rowe, Anthony

doi:10.1109/tii.2017.2668439

Cited by 20 publications

(30 citation statements)

References 14 publications

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“…According to the standard of IEEE 802.11 g, the working frequency band is 2.4 GHz, and the ideal transmission rate is 54 Mbps. All experiments considered parameters of proposed PDR model in [17] with 200-byte long packets and parallel UAVs, which makes k1 = 10.6 and R = 64 m. Besides, transmission rate is set to be 800 pkts/s in the PDR model, so each data content s's data transmission speed T s is 1.28 Mbps. Note that the data transmission of UAV exists successively and the transmission rate of UAV in each time slot meets the requirements.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…In UAV-to-UAV communication, the transmission distance can significantly affect the quality of the link. Pinto et al [17] analyzed the experiments in the same RF band and collected data such as distance, data packet and orientation. The experiments are carried out using the AR Drone 2.0 platform [18], where they use their native wireless IEEE 802.11 g interface.…”

Section: System Modelmentioning

confidence: 99%

“…However, the definition of transmission overhead and the transmission mechanism within the UAV coalition has been simplified. Hence, inspired by the design of packet delivery ratio channel model in [17], we propose a resource allocation optimization method based on distributed data content, and design a coalition selection and data transmission mechanism based on group buying. In the proposed model, data throughput is used to describe the overhead caused by the transmission path.…”

Section: Introductionmentioning

confidence: 99%

“…Note that this work introduces the packet delivery ratio channel model from [17], the main differences are as follows:…”

mentioning

confidence: 99%

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Group Buying-Based Data Transmission in Flying Ad-Hoc Networks: A Coalition Game Approach

et al. 2018

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In scenarios such as natural disasters and military strikes, it is common for unmanned aerial vehicles (UAVs) to form groups to execute reconnaissance and surveillance. To ensure the effectiveness of UAV communications, repeated resource acquisition issues and transmission mechanism designs need to be addressed urgently. Since large-scale UAVs will generate high transmission overhead due to the overlapping resource requirements, in this paper, we propose a resource allocation optimization method based on distributed data content in a Flying Ad-hoc network (FANET). The resource allocation problem with the goal of throughput maximization is constructed as a coalition game framework. Firstly, a data transmission mechanism is designed for UAVs to execute information interaction within the coalitions. Secondly, a novel mechanism of coalition selection based on group-buying is investigated for UAV coalitions to acquire data from the central UAV. The data transmission and coalition selection problem are modeled as coalition graph game and coalition formation game, respectively. Through the design of the utility function, we prove that both games have stable solutions. We also prove the convergence of the proposed approach with coalition order and Pareto order. Based on simulation results, coalition order based coalition selection algorithm (CO-CSA) and Pareto order based coalition selection algorithm (PO-CSA) are proposed to explore the stable coalition partition of system model. CO-CSA and PO-CSA can achieve higher data throughput than the contrast onetime coalition selection algorithm (Onetime-CSA) (at least increased by 34.5% and 16.9%, respectively). Besides, although PO-CSA has relatively lower throughput gain, its convergence times is on average 50.9% less than that of CO-CSA, which means that the algorithm choice is scenario-dependent.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Note that this work introduces the packet delivery ratio channel model from [17], the main differences are as follows:…”

mentioning

confidence: 99%

See 2 more Smart Citations

Group Buying-Based Data Transmission in Flying Ad-Hoc Networks: A Coalition Game Approach

et al. 2018

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show abstract

“…However, the definition of transmission overhead and the transmission mechanism within the UAV coalition has been simplified. Hence, inspired by the design of packet delivery ratio channel model in [17], we propose a coalition selection and data transmission model based on group buying mechanism. In the proposed model, data throughput is used to describe the overhead caused by the transmission path.…”

Section: Introductionmentioning

confidence: 99%

Group Buying-based Data Transmission in Flying Ad-hoc Networks: A Coalition Game Approach

Ruan¹,

Chen²,

Guo³

et al. 2018

Preprint

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In scenarios such as natural disasters and military strike, it is common for unmanned aerial vehicles (UAVs) to form groups to execute reconnaissance and surveillance. To ensure the effectiveness of UAV communications, repeated resource acquisition issues and transmission mechanism design need to be addressed urgently. In this paper, we build an information interaction scenario in a Flying Ad-hoc network (FANET). The data transmission problem with the goal of throughput maximization is modeled as a coalition game framework. Then, a novel mechanism of coalition selection and data transmission based on group-buying is investigated. Since large-scale UAVs will generate high transmission overhead due to the overlapping resource requirements, we propose a resource allocation optimization method based on distributed data content. Comparing existing works, a data transmission and coalition formation mechanism is designed. Then the system model is classified into graph game and coalition formation game. Through the design of the utility function, we prove that both games have stable solutions. We also prove the convergence of the proposed approach with coalition order and Pareto order. Binary log-linear learning based coalition selection algorithm (BLL-CSA) is proposed to explore the stable coalition partition of system model. Simulation results show that the proposed data transmission and coalition formation mechanism can achieve higher data throughput than the other contrast algorithms.

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Reference input and hysteresis quantizer based triggered control for networked control systems over limited channels

Zhou

Zuo

Wang

et al. 2021

Intl J Robust & Nonlinear

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In this article, we formulate a framework for the networked control systems over limited channels with a novel reference input and hysteresis quantizer based triggered control (RIHQBTC) method. Both hysteresis quantization and the network induced delay are considered and the finite-gain  2 stability is analyzed.By thoroughly exploring the structure of the hysteresis quantizer, we merge the hysteresis quantizer parameter with the reference input to construct the triggering condition. To compensate for the negative effect caused by the network induced delay, three kinds of local controllers are designed to connect the transformed controller with the original one. Moreover, the corresponding coders and decoders are proposed to bound the transmission bit rates. With this RIHQBTC method, it is proved that Zeno behavior could be intrinsically eliminated. The superiority of the proposed method is demonstrated by a numerical example and its efficiency is further verified on the wheeled mobile robot.

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Characterizing Multihop Aerial Networks of COTS Multirotors

Cited by 20 publications

References 14 publications

Group Buying-Based Data Transmission in Flying Ad-Hoc Networks: A Coalition Game Approach

Group Buying-Based Data Transmission in Flying Ad-Hoc Networks: A Coalition Game Approach

Group Buying-based Data Transmission in Flying Ad-hoc Networks: A Coalition Game Approach

Reference input and hysteresis quantizer based triggered control for networked control systems over limited channels

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