Dynamic spectrum management for heterogeneous UAV networks with navigation data assistance

Si, Pengbo; Yu, F. Richard; Zhang, Yanhua

doi:10.1109/wcnc.2015.7127619

Cited by 9 publications

(2 citation statements)

References 15 publications

(14 reference statements)

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“…In relation to wireless network technology, there is a need for a consensus study since the network topologies exist between the agent and its neighbours [29,73,84,85]. For instance, the communication between the UAV ground mobile robot via the network on the air and the ground [86], the communication between the heterogeneous UAV and the satellite and ground station [87], and the communication between the cluster multi-agent and the network topology [88]. Since the agents are…”

Section: Introduction 11 Motivation Of the Researchmentioning

confidence: 99%

Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller

Sariff,

Hilmi Ismail,

Shah Hizam Md Yasir

et al. 2023

Motion Planning for Dynamic Agents

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Finding consensus is one of the most important tasks in multi-agent robot motion coordination research, especially in a communication environment. This justification underlies the use of event-triggered controller in current multi-agent consensus research. However, the communication issue has not been adequately addressed in a broadcast communication environment for rendezvous applications. Therefore, the broadcast event-triggered (BET) controller with a new formulation was designed using the Simultaneous Perturbation Stochastic Algorithm (SPSA). Theorems and relevant proofs were presented. Agent performances with the BET controller were evaluated and compared with the conventional broadcast time-triggered (BTT) controller. The results showed an effective motion generated by a multi-agent robot to reach the rendezvous point based on the Bernoulli distribution and gradient approximation of the agent local controller. The BET controller has proven to work more efficiently than the BTT controller when it reaches convergence in less than 40.42% of time and 21.00% of iterations on average. The utilization of communication channels is slightly reduced for BET, which is 71.09% usage instead of fully utilized by BTT. The threshold value of the event-triggered function (ETF) and SPSA parameters affected agent performances. Future research may consider using an effective and efficient BET controller in a complex communication environment with many variations of graph topology networks.

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Section: Introduction 11 Motivation Of the Researchmentioning

confidence: 99%

Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller

Sariff,

Hilmi Ismail,

Shah Hizam Md Yasir

et al. 2023

Motion Planning for Dynamic Agents

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“…This merges various methods and techniques, summarized as follows: (1) Spectrum Sensing and Dynamic Spectrum Access: UAVs utilize spectrum sensing to identify interference or vacant frequency bands [1][2][3]. Through Dynamic Spectrum Access (DSA), UAVs adapt in real-time to less crowded channels, reducing interference [4,5];…”

Section: Introductionmentioning

confidence: 99%

Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach

Cheng,

Xu,

Zhou

et al. 2023

Electronics

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Anti-jamming communication technology is one of the most critical technologies for establishing secure and reliable communication between unmanned aerial vehicles (UAVs) and ground units. The current research on anti-jamming technology focuses primarily on the power and spatial domains and does not target the issue of intelligent jammer attacks on communication channels. We propose a game-theoretical center frequency selection method for UAV-enabled air-to-ground (A2G) networks to address this challenge. Specifically, we model the central frequency selection problem as a Stackelberg game between the UAV and the jammer, where the UAV is the leader and the jammer is the follower. We develop a formal matrix structure for characterizing the payoff of the UAV and the jammer and theoretically prove that the mixed Nash equilibrium of such a bimatrix Stackelberg game is equivalent to the optimal solution of a linear programming model. Then, we propose an efficient game algorithm via linear programming. Building on this foundation, we champion an efficacious algorithm, underpinned by our novel linear programming solution paradigm, ensuring computational feasibility with polynomial time complexity. Simulation experiments show that our game-theoretical approach can achieve Nash equilibrium and outperform traditional schemes, including the Frequency-Hopping Spread Spectrum (FHSS) and the Random Selection (RS) schemes, in terms of higher payoff and better stability.

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A Multi-layer Architecture for Space-Air-Ground Network and IoT Services

Mang

Zhang

et al. 2021

2021 International Wireless Communications and Mobile Computing (IWCMC)

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Dynamic spectrum management for heterogeneous UAV networks with navigation data assistance

Cited by 9 publications

References 15 publications

Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller

Multi-Agent Robot Motion Planning for Rendezvous Applications in a Mixed Environment with a Broadcast Event-Triggered Consensus Controller

Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach

A Multi-layer Architecture for Space-Air-Ground Network and IoT Services

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