Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach

Feng, Chunyan; Yu, Ke; Bashir, Ali Kashif; Al‐Otaibi, Yasser D.; Lü, Yang; Chen, Shengbo; Zhang, Di

doi:10.1109/mnet.011.2000223

Cited by 187 publications

(87 citation statements)

References 15 publications

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“…As the TTL deadline is becoming relaxed, MCARMR results in improved performance when compared with others at low DGR. For high DGR, its performance remains below MCARM because of high network congestion on the RNs caused by high DGR [44]. At tight TTL deadlines, the slightly poor performance of MCARMR compared with MCARM considering both high and low DGRs is because of the delays at the RNs.…”

Section: Delay-conscious Data (Dcd)mentioning

confidence: 98%

Multiconstraint-Aware Routing Mechanism for Wireless Body Sensor Networks

Bangash

Khan

et al. 2021

Journal of Healthcare Engineering

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The merger of wireless sensor technologies, pervasive computing, and biomedical engineering has resulted in the emergence of wireless body sensor network (WBSN). WBSNs assist human beings in various monitoring applications such as health-care, entertainment, rehabilitation systems, and sports. Life-critical health-care applications of WBSNs consider both reliability and delay as major Quality of Service (QoS) parameters. In addition to the common limitations and challenges of wireless sensor networks (WSNs), WBSNs pose distinct constraints due to the behavior and chemistry of the human body. The biomedical sensor nodes (BMSNs) adopt multihop communication while reporting the heterogeneous natured physiological parameters to the nearby base station also called local coordinator. Routing in WBSNs becomes a challenging job due to the necessary QoS considerations, overheated in-body BMSNs, and high and dynamic path loss. To the best of our knowledge, none of the existing routing protocols integrate the aforementioned issues in their designs. In this research work, a multiconstraint-aware routing mechanism (modular-based) is proposed which considers the QoS parameters, dynamic and high path loss, and the overheated nodes issue. Two types of network frameworks, with and without relay/forwarder nodes, are being used. The data packets containing physiological parameters of the human body are categorized into delay-constrained, reliability-constrained, critical (both delay- and reliability-constrained), and nonconstrained data packets. NS-2 is being used to carry out the simulations of the proposed mechanism. The simulation results reveal that the proposed mechanism has improved the QoS-aware routing for WBSNs by adopting the proposed multiconstraint-aware strategy.

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Section: Delay-conscious Data (Dcd)mentioning

confidence: 98%

Multiconstraint-Aware Routing Mechanism for Wireless Body Sensor Networks

Bangash

Khan

et al. 2021

Journal of Healthcare Engineering

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“…Public cloud sanctions anyone to be a component of this service. Hybrid cloud gives access to private /public [71]. Fig.…”

Section: F Blockchain Cloud Of Thingsmentioning

confidence: 99%

Implementation of Hybrid Blockchain in a Pre-Owned Electric Vehicle Supply Chain

Subramanian

Thampy

2021

IEEE Access

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Ecumenical carbon dioxide (CO2) emission emanates from car, bus, taxi, and motorcycle is around 45%.Electric vehicle could be the major contributor to abbreviate the pollution level in a transportation sector. According to the Forbes report the ecumenical passenger electric vehicle demand expected to reach 15% in 2025, and 23% in 2030. This research provides a blockchain predicated solution for a pre-owned electric vehicle market that could engender a trust, transparency, immutable records, and an efficient way to track the entire life cycle of a futuristic electric vehicle supply chain. At present most of the pre-owned electric conveyance purchase transpires through the third-party accommodations, websites, and mobile applications. This does not provide the authentic information on electric conveyance history, charging capabilities of the battery, history of the charging records, and performance of the driver (wear and tear affect battery life). Our solution implemented utilizing hybrid blockchain technology. Each stakeholder assigned with the Ethereum blockchain address to track the vehicle records as a distributed ledger. This design considered electric vehicle manufacturer, charging station, battery manufacturer, road convey ascendancy as major stakeholders. Astute contract designed with solidity programming. Truffle platform used to deploy keenly intellective contract in private blockchain that ascertain the privacy of electric conveyance owners and other stakeholders. Meta mask a mobile application utilized kovan network for tracking vehicle in a public blockchain. This application tested with 0.1 Ether for each transaction. Blockchain Electric Vehicle Cloud of Things (BEVCoT) concept proposed to integrate the IoT-Blockchain application in a cloud environment.

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“…Distinct characteristics of spatial data such as high dimensionality, several complex dependencies between entities on each other (e.g., distance entity, the dimension of direction, and geometrical relationships) leads to the requirement for time-consuming operations, and computationally exhausting algorithms for performing operations. The geospatial data in the cloud can provide a suitable efficient computation architecture that can support the processing of such huge data [24,25].…”

Section: Related Workmentioning

confidence: 99%

Benchmarking geospatial database on Kubernetes cluster

Sharma

Bansal

Chugh

et al. 2021

EURASIP J. Adv. Signal Process.

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Kubernetes is an open-source container orchestration system for automating container application operations and has been considered to deploy various kinds of container workloads. Traditional geo-databases face frequent scalability issues while dealing with dense and complex spatial data. Despite plenty of research work in the comparison of relational and NoSQL databases in handling geospatial data, there is a shortage of existing knowledge about the performance of geo-database in a clustered environment like Kubernetes. This paper presents benchmarking of PostgreSQL/PostGIS geospatial databases operating on a clustered environment against non-clustered environments. The benchmarking process considers the average execution times of geospatial structured query language (SQL) queries on multiple hardware configurations to compare the environments based on handling computationally expensive queries involving SQL operations and PostGIS functions. The geospatial queries operate on data imported from OpenStreetMap into PostgreSQL/PostGIS. The clustered environment powered by Kubernetes demonstrated promising improvements in the average execution times of computationally expensive geospatial SQL queries on all considered hardware configurations compared to their average execution times in non-clustered environments.

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Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach

Cited by 187 publications

References 15 publications

Multiconstraint-Aware Routing Mechanism for Wireless Body Sensor Networks

Multiconstraint-Aware Routing Mechanism for Wireless Body Sensor Networks

Implementation of Hybrid Blockchain in a Pre-Owned Electric Vehicle Supply Chain

Benchmarking geospatial database on Kubernetes cluster

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