CovaDel: a blockchain-enabled secure and QoS-aware drone delivery framework for COVID-like pandemics

Singh, Maninderpal; Aujla, Gagangeet Singh; Bali, Rasmeet Singh; Batth, Ranbir Singh; Singh, Amritpal; Vashisht, Sahil; Jindal, Anish

doi:10.1007/s00607-022-01064-7

CovaDel: a blockchain-enabled secure and QoS-aware drone delivery framework for COVID-like pandemics

Singh, Maninderpal; Aujla, Gagangeet Singh; Bali, Rasmeet Singh; Batth, Ranbir Singh; Singh, Amritpal; Vashisht, Sahil; Jindal, Anish

Authors

Maninderpal Singh

Dr Gagangeet Aujla gagangeet.s.aujla@durham.ac.uk
Assistant Professor in Computer Science

Rasmeet Singh Bali

Ranbir Singh Batth

Amritpal Singh

Sahil Vashisht

Anish Jindal

Abstract

With increase in the use of contactless deliveries during the times such as COVID-19 pandemic, the emphasis was to minimize the human presence to reduce the spread of virus. In this regard, drones are one promising alternative to be used as delivery agents. However, security and Quality of Service (QoS) are major concerns while making use of drones for deliveries. In order to secure the drone communication system, we propose, CovaDel: a blockchain-based scheme to secure data transactions for the drone delivery use case that works in a phased manner. The proposed scheme make use of decoupled blockchain architecture to overcome the limited resources capabilities of drones to perform blockchain-based computations. Further, to ensure the QoS adherence, we also propose a QoS-aware communication approach that handles collisions and congestion on the basis of firefly algorithm’s attractiveness parameter (light intensity) received by the drones. Results obtained using a simulated environment verify the efficacy of the proposed scheme on the basis of gas consumed, transaction time, average network throughput, and delay.

Citation

Singh, M., Aujla, G. S., Bali, R. S., Batth, R. S., Singh, A., Vashisht, S., & Jindal, A. (2022). CovaDel: a blockchain-enabled secure and QoS-aware drone delivery framework for COVID-like pandemics. Computing, 104(7), 1589-1613. https://doi.org/10.1007/s00607-022-01064-7

Journal Article Type	Article
Acceptance Date	Feb 8, 2022
Online Publication Date	Mar 14, 2022
Publication Date	2022-07
Deposit Date	May 5, 2022
Publicly Available Date	May 5, 2022
Journal	Computing
Print ISSN	0010-485X
Electronic ISSN	1436-5057
Publisher	Springer
Peer Reviewed	Peer Reviewed
Volume	104
Issue	7
Pages	1589-1613
DOI	https://doi.org/10.1007/s00607-022-01064-7

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