Novel DTN Mobility-Driven Routing in Autonomous Drone Logistics Networks

Iranmanesh, Saeid; Raad, Raad; Raheel, Muhammad; Tubbal, Faisel; Jan, Tony

doi:10.1109/access.2019.2959275

Cited by 42 publications

(23 citation statements)

References 29 publications

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“…Therefore, it is important to study the effect of cost minimisation resultant from TC on the routing performance to consider more optimum routing. In References [81,82], heuristic-based DTN algorithms were proposed for drones flight path optimization. These algorithms optimse the route for both consignment and data delivery with higher delivery efficiency compared with other DTN algorithms such as EBR and Epidemic.…”

Section: Dtn Forwarding-based Techniquesmentioning

confidence: 99%

DTN and Non-DTN Routing Protocols for Inter-CubeSat Communications: A comprehensive survey

2020

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CubeSats, which are limited by size and mass, have limited functionality. These miniaturised satellites suffer from a low power budget, short radio range, low transmission speeds, and limited data storage capacity. Regardless of these limitations, CubeSats have been deployed to carry out many research missions, such as gravity mapping and the tracking of forest fires. One method of increasing their functionality and reducing their limitations is to form CubeSat networks, or swarms, where many CubeSats work together to carry out a mission. Nevertheless, the network might have intermittent connectivity and, accordingly, data communication becomes challenging in such a disjointed network where there is no contemporaneous path between source and destination due to satellites’ mobility pattern and given the limitations of range. In this survey, various inter-satellite routing protocols that are Delay Tolerant (DTN) and Non Delay Tolerant (Non-DTN) are considered. DTN routing protocols are considered for the scenarios where the network is disjointed with no contemporaneous path between a source and a destination. We qualitatively compare all of the above routing protocols to highlight the positive and negative points under different network constraints. We conclude that the performance of routing protocols used in aerospace communications is highly dependent on the evolving topology of the network over time. Additionally, the Non-DTN routing protocols will work efficiently if the network is dense enough to establish reliable links between CubeSats. Emphasis is also given to network capacity in terms of how buffer, energy, bandwidth, and contact duration influence the performance of DTN routing protocols, where, for example, flooding-based DTN protocols can provide superior performance in terms of maximizing delivery ratio and minimizing a delivery delay. However, such protocols are not suitable for CubeSat networks, as they harvest the limited resources of these tiny satellites and they are contrasted with forwarding-based DTN routing protocols, which are resource-friendly and produce minimum overheads on the cost of degraded delivery probability. From the literature, we found that quota-based DTN routing protocols can provide the necessary balance between delivery delay and overhead costs in many CubeSat missions.

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Section: Dtn Forwarding-based Techniquesmentioning

confidence: 99%

DTN and Non-DTN Routing Protocols for Inter-CubeSat Communications: A comprehensive survey

2020

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“…where e loaded represents the power with the package present and without the package is indicated by e unloaded . In other words, the total energy consumption of the outbound trip and the return trip is calculated (our recent work discusses more in details [15]). From Equations (1) and (2), we derive the total energy consumption as follows: , that is determined based on energy.…”

Section: Heuristic Flight Path Planning (Hfpp)mentioning

confidence: 99%

“…If the parcel's deadline is estimated to expire before reaching the parcel's destination, the drone simply ignores adding more waypoints in their route before visiting the parcel's destination. This paper is an extension of our other work in [15] which does not consider wireless charging stations.…”

Section: Introductionmentioning

confidence: 99%

A Novel Data Forwarding Strategy for a Drone Delay Tolerant Network with Range Extension

Iranmanesh¹,

Raad

2019

Electronics

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Amazon, Uber Eats, and United Parcel Service (UPS) are planning to launch drone delivery services in the near future. Indeed, recently, Google has received Federal Aviation Administration (FAA) approval for its Wings delivery platform. Amazon claims that a drone logistics network is more cost-efficient and quicker than a motor vehicle delivery network. In this paper, we propose a data delivery service by the drone network in addition to parcel delivery. We propose Heuristic Flight Path Planning (HFPP) that plans a drone’s flight path based on parcel delivery destination as well as data delivery destinations (waypoints). We further extend the solution to include drone charging stations for range extension. Our simulation studies show that our proposed method has delivered the data and consignments such that HFPP delivers up to 33% more data packets compared with Encounter-Based Routing (EBR), Epidemic, and a similar path planning method. Also, HFPP reduces the data delivery delays by up to 72% while the overhead ratio is low.

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“…To maintain secure and reliable flight operation, UAVs can exchange safetycritical information with remote pilots, closest aerial vehicles, and air traffic controllers with an assistance of control and non-payload communication (CNPC). UAVs are also delivering goods and improving the throughput of 5G networks [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Gyre Precoding and T-Transformation-Based GFDM System for UAV-Aided mMTC Network

et al. 2021

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In this paper, an unmanned aerial vehicle (UAV)-aided multi-antenna configured downlink mmWave cooperative generalized frequency division multiplexing (GFDM) system is proposed. To provide physical layer security (PLS), a 3D controlled Lorenz mapping system is introduced. Furthermore, the combination of T-transformation spreading codes, walsh Hadamard transform, and discrete Fourier transform (DFT) techniques are integrated with a novel linear multi-user multiple-input multiple-output (MU-MIMO) gyre precoding (GP) for multi-user interference reduction. Furthermore, concatenated channel-coding with multi-user beamforming weighting-aided maximum-likelihood and zero forcing (ZF) signal detection schemes for an improved bit error rate (BER) are also used. The system is then simulated with a single base station (BS), eight massive machine-type communications (mMTC) users, and two UAV relay stations (RSs). Numerical results reveal the robustness of the proposed system in terms of PLS and an achievable ergodic rate with signal-to-interference-plus-noise ratio (SINR) under the implementation of T-transformation scheme. By incorporating the 3D mobility model, brownian perturbations of the UAVs are also analyzed. An out-of-band (OOB) reduction of 320 dB with an improved BER of 1×10−4 in 16-QAM for a signal-to-noise ratio, Eb/N0, of 20 dB is achieved.

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Novel DTN Mobility-Driven Routing in Autonomous Drone Logistics Networks

Cited by 42 publications

References 29 publications

DTN and Non-DTN Routing Protocols for Inter-CubeSat Communications: A comprehensive survey

DTN and Non-DTN Routing Protocols for Inter-CubeSat Communications: A comprehensive survey

A Novel Data Forwarding Strategy for a Drone Delay Tolerant Network with Range Extension

Gyre Precoding and T-Transformation-Based GFDM System for UAV-Aided mMTC Network

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