IEEE Consumer Electronics Magazine - January/February 2023 - 52

Feature Article: Edge Computing & IoDT
DewDrone: Dew
Computing for Internet of
Drone Things
Amartya Mukherjee and Debashis De
Computer Science and Engineering, Maulana
Abul Kalam Azad University of Technology
Nilanjan Dey
Computer Science and Engineering, JIS
University
Abstract-Unstable internet connectivity in aerial interconnection is challenging for the
Internet of drone Things. Introducing the low power edge device and caching methodology
opens a new challenge to developing an independent computing and communication
application for smart cities, the rural sector, industry, and society 4.0. This author
proposes a dew-cloud computing framework amalgamated with the UAV networks known
as " DewDrone. " We engineered an opportunistic communication framework for unreliable
and intermittent network connectivity. We analyzed the dew message transfer response,
and caching performance has been measured in a resource constrain hardware testbed.
The results show the 91.4% message delivery ratio within a dew buffer size of 150 MB with
a minimum latency of 20.04 ms.
& THE UNMANNED AIRCRAFT Systems are a primary
building block of the development of the
modern civilization along with agriculture, surveillance,
crowed sensing and monitoring, industry,
and society 4.0. The main job of such nodes
is to collect the data from the sensors.1 In a challenged
network scenario like natural calamity, a
mission-critical situation like emergency evacuation,
battle often deploys the human in a remote
place. In such a scenario, the teams may not
have the luxury to have a strong network connection
to process and buffer the crucial data in
a cloud infrastructure. In such a case the caching
is highly required to continue the operation and
execution of the services. Therefore, we consider
the system in two distinct parts.
Digital Object Identifier 10.1109/MCE.2021.3139306
Date ofpublication 29 December 2021; date ofcurrent
version 6 December 2022.
The captured data is stored, buffered, and
cached as a dew node in the first part. The processing
is performed near the Dew in the second
sublayer. The nodes take part as a UAV, with
onboard storage and processing capability. The
UAV, in this case, is part of FANET-based Internet
of Drone Things (IoDT).
The fundamental contribution of the work is
as follows.
1) The design of a dew-enabled latency-aware
drone network ecosystem that can support
the processing and storage of the data at the
dew level.
2) To propose a highly fault-tolerant drone network
that can process and store critical
information.
3) To establish a dew-cloud framework that can
serve the mission-critical operation.
4) To perform an analysis of message delivery
and latency performance.
52
2162-2248 ß 2021 IEEE
Published by the IEEE Consumer Technology Society
IEEE Consumer Electronics Magazine
IEEE Consumer Electronics Magazine - January/February 2023

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