Next Article in Journal
An Adaptable Train-to-Ground Communication Architecture Based on the 5G Technological Enabler SDN
Previous Article in Journal
Dual-Hop Cooperative Relaying with Beamforming Under Adaptive Transmission in κμ Shadowed Fading Environments
Open AccessArticle

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

1
School of IT and Engineering, Melbourne Institute of Technology, Sydney 2000, Australia
2
Department of Engineering and Information Sciences, School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, Wollongong 2522, Australia
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(6), 659; https://doi.org/10.3390/electronics8060659
Received: 2 May 2019 / Revised: 24 May 2019 / Accepted: 5 June 2019 / Published: 11 June 2019
(This article belongs to the Special Issue Delay Tolerant Networks and Applications)
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. View Full-Text
Keywords: intelligent transportation systems; vehicular networks; forwarding strategy; dynamic mobility models; unmanned aerial vehicles; optimization algorithms; smart city; encounter-based routing; delay tolerant network; Ad Hoc intelligent transportation systems; vehicular networks; forwarding strategy; dynamic mobility models; unmanned aerial vehicles; optimization algorithms; smart city; encounter-based routing; delay tolerant network; Ad Hoc
Show Figures

Figure 1

MDPI and ACS Style

Iranmanesh, S.; Raad, R. A Novel Data Forwarding Strategy for a Drone Delay Tolerant Network with Range Extension. Electronics 2019, 8, 659.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop