Using Directional Antenna in UAVs to Enhance Tactical Communications

Coyle, Andrew

doi:10.1109/milcis.2018.8574110

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…The least-worst-case discovery delay based on the BR-DA-FANET algorithm for clock asynchronization discovery is expressed as (9).…”

Section: Proof Of Theoremmentioning

confidence: 99%

“…1)T is the smallest dura a rendezvous-slot to achieve main lobe blind rendezvous for a FANET. The least-worst-case discovery delay based on the BR-DA-FANET algori clock asynchronization discovery is expressed as (9).…”

Section: Proof Of Theoremmentioning

confidence: 99%

“…However, the UAVs in FANETs usually encounter several challenges, such as limited communication resources, intensive contention from neighboring UAVs, and even external interference, which can hinder meeting network capacity and delay communication requirements. In order to increase network capacity, the usage of multiple channels [7,8] and directional antennas [8][9][10][11] are essential for FANETs. Due to their advantages in terms of high gain and focused beamforming capabilities, directional antennas can cover a larger communication range compared to omnidirectional antennas [12] and are well-suited for jamming environments [13].…”

Section: Introductionmentioning

confidence: 99%

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A Multichannel MAC Protocol without Coordination or Prior Information for Directional Flying Ad hoc Networks

Liang,

Zhao,

Zhang

et al. 2023

Drones

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Achieving neighbor discovery for a directional flying ad hoc network (FANET) with multiple channels poses challenges for media access control (MAC) protocol design, as it requires simultaneous main lobe and channel rendezvous while dealing with the high UAV mobility. In order to achieve fast neighbor discovery for initial access without coordination or prior information, we first establish the theoretical supremum for the directional main lobe. Then, to achieve the supremum, we introduce the BR-DA and BR-DA-FANET algorithms to respectively establish the supremum on rendezvous between a pair of UAVs’ main lobes and rendezvous of main lobes for all UAVs in the FANET. To further accelerate the neighbor discovery process, we propose the neighbor discovery with location prediction protocol (ND-LP) and the avoiding communication interruption with location prediction (ACI-LP) protocol. ND-LP enables quick main lobe rendezvous and channel rendezvous, while ACI-LP enables beam tracking and channel rendezvous together with the avoidance of communication interruptions. The simulation results demonstrate that the proposed protocols outperform the state-of-the-art works in terms of neighbor discovery delay.

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“…The least-worst-case discovery delay based on the BR-DA-FANET algorithm for clock asynchronization discovery is expressed as (9).…”

Section: Proof Of Theoremmentioning

confidence: 99%

Section: Proof Of Theoremmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Multichannel MAC Protocol without Coordination or Prior Information for Directional Flying Ad hoc Networks

Liang,

Zhao,

Zhang

et al. 2023

Drones

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“…The work uses resource node altitude to control the ground coverage and hence the number of connected users to optimise capacity. Reference [22] examines the effect of self-organising resource nodes on tactical networks utilising current MANET military protocols. Resource nodes position themselves in the network to increase route capacity between user nodes.…”

Section: Related Work a Data Relayingmentioning

confidence: 99%

An Analytic Latency Model for a Next-Hop Data-Ferrying Swarm on Random Geometric Graphs

et al. 2020

Self Cite

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Next-hop data-ferrying is a data-driven approach to ferrying data between graph components of a disconnected network. In contrast to pre-planned routing methods like the Traveling Salesman tour, only the next-hop is planned, allowing the ferry to be reactive to the data flows within the network. When multiple ferries are used, explicit coordination between them is difficult due to the data-driven approach of the algorithm, and the distributed and disconnected nature of the problem. However, coordinated behavior can still be produced through swarm intelligent means and while this is a useful pragmatic result, mathematical models describing system properties are difficult to develop. This generally results in algorithm correctness being demonstrated through simulation. In this article, we describe the development of a mathematical model of such a next-hop ferrying swarm. We show that the closed-form expression for user data latency is a close match to simulation results for Random Geometric Graphs under the assumption of a zero expected degree. In non-zero degree graphs, a near constant offset between the model and simulation is observed.INDEX TERMS Data ferrying, emergent behavior, MANET, random geometric graph.

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“…To utilize high gain directional antennas, the transmitter and receiver must point toward each other due to the radiation pattern which is limited by direction angle (DA) (Coyle, 2018). This defect can be overcome by supplementing a steering system to the antenna which builds communication between UAVs and GCS.…”

Section: Introductionmentioning

confidence: 99%

A novel elliptic trajectory formula for active RSSI-based antenna tracking algorithm

İşcan

Tas

Gurkan

et al. 2023

Transactions of the Institute of Measurement and Control

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In this study, a novel received signal strength indicator (RSSI)-based tracking algorithm for antenna tracker systems utilizing directional antennas is proposed. This system has two sequential phases, which are the “Full Area Scan Phase” and the “Active RSSI-Based Tracking Phase” with a unique elliptic trajectory formula for generating an original two-dimensional (2D) RSSI map to detect the maximum signal. An elliptic trajectory paves the way for splitting RSSI measurements into specific regions equally on this map in which any disturbance and noises are eliminated. The proposed method do not require any telemetry data or multiple receivers for antennas. The simulation results showed that the algorithm attained to 98 % accuracy with respect to the Global Positioning System (GPS)-based ones. In real-world experiments, it captures the first handshake signal within 6 seconds even when the unmanned aerial vehicle (UAV) positions are uncertain. Furthermore, it is demonstrated that this novel technique can provide a continuous tracking at high resolution with the error value of [Formula: see text] and [Formula: see text] in the elevation and azimuth axes, respectively, compared with the GPS-based one. In conclusion, the simulation and test studies indicated that the proposed method could achieve a higher precision tracking with its advantages against the former methods.

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Using Directional Antenna in UAVs to Enhance Tactical Communications

Cited by 8 publications

References 14 publications

A Multichannel MAC Protocol without Coordination or Prior Information for Directional Flying Ad hoc Networks

A Multichannel MAC Protocol without Coordination or Prior Information for Directional Flying Ad hoc Networks

An Analytic Latency Model for a Next-Hop Data-Ferrying Swarm on Random Geometric Graphs

A novel elliptic trajectory formula for active RSSI-based antenna tracking algorithm

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