A Proposal for Decentralized and Secured Data Collection from Unmanned Aerial Vehicles in Livestock Monitoring with Blockchain and IPFS

Ortega, Julio César Úbeda; Rodríguez‐Molina, Jesús; Núñez, Margarita Martínez; Garbajosa, Juan

doi:10.3390/app13010471

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Blockchain has become an important technology in many applications of the PA discipline [ 135 ]. In livestock systems, blockchain is being used to enhance the traceability of livestock products, supply chain monitoring and tracking, as well as data security and assurance [ 136 , 137 , 138 ]. For example, AppliFarm is a leading blockchain platform that can track livestock data in the animal production sector.…”

Section: Resultsmentioning

confidence: 99%

Precision Livestock Farming Research: A Global Scientometric Review

Jiang

Tang

Cui

et al. 2023

Animals

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Precision livestock farming (PLF) utilises information technology to continuously monitor and manage livestock in real-time, which can improve individual animal health, welfare, productivity and the environmental impact of animal husbandry, contributing to the economic, social and environmental sustainability of livestock farming. PLF has emerged as a pivotal area of multidisciplinary interest. In order to clarify the knowledge evolution and hotspot replacement of PLF research, based on the relevant data from the Web of Science database from 1973 to 2023, this study analyzed the main characteristics, research cores and hot topics of PLF research via CiteSpace. The results point to a significant increase in studies on PLF, with countries having advanced livestock farming systems in Europe and America publishing frequently and collaborating closely across borders. Universities in various countries have been leading the research, with Daniel Berckmans serving as the academic leader. Research primarily focuses on animal science, veterinary science, computer science, agricultural engineering, and environmental science. Current research hotspots center around precision dairy and cattle technology, intelligent systems, and animal behavior, with deep learning, accelerometer, automatic milking systems, lameness, estrus detection, and electronic identification being the main research directions, and deep learning and machine learning represent the forefront of current research. Research hot topics mainly include social science in PLF, the environmental impact of PLF, information technology in PLF, and animal welfare in PLF. Future research in PLF should prioritize inter-institutional and inter-scholar communication and cooperation, integration of multidisciplinary and multimethod research approaches, and utilization of deep learning and machine learning. Furthermore, social science issues should be given due attention in PLF, and the integration of intelligent technologies in animal management should be strengthened, with a focus on animal welfare and the environmental impact of animal husbandry, to promote its sustainable development.

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Section: Resultsmentioning

confidence: 99%

Precision Livestock Farming Research: A Global Scientometric Review

Jiang

Tang

Cui

et al. 2023

Animals

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“…Unlike client-server online storage services, Inter-Planetary File System (IPFS) enables the user to store a file in a peer-to-peer mode across computers on the internet. To ensure the file will be available anytime, the document owner can pin the file on a local IPFS node or use the available remote pinning service [38].…”

Section: Inter-planetary File Systemmentioning

confidence: 99%

Smart Contract and IPFS Decentralized Storage for Halal Certification Process

Agung,

Yuniar,

Hendriyanto

2024

JOIV : Int. J. Inform. Visualization

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Halal product is mandatory for Muslims and a big business for Indonesia. To obtain a halal certificate, the product owner must submit an application and undergo several processes. However, there are challenges in the certification process. The study investigates the utilization of blockchain to manage the process and the integration of decentralized storage (IPFS) to store the digital version of the fatwa and certificate. A smart contract is designed and deployed on the Ethereum blockchain, and the transaction time and cost are analyzed. A smart contract enforce certain actions are executed once the required conditions are fulfilled. The proposed system would cost 24.6 USD and require 227 seconds on average for the system setup. For each submission, it requires costs 9.86 USD and takes 92 seconds on average. Verification is free, and the average result can be obtained in one second. The appointed officer sets each entity interacting with the contract, and the digital documents (fatwa and certificate) are available online using IPFS. Progress of the certification is transparent to the public, increasing the public's trust. The study demonstrates a smart contract's capability to manage a product's certification process.

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“…The multi-layer network concept supported by blockchain paves the way for the creation of a globally secure IoT network. In [31], the authors presented a blockchain-integrated edge computing and InterPlanetary File System (IPFS)-enabled convolution neural network-based video surveillance system. Blockchain technologies improve the system's sturdiness and dependability.…”

Section: B Blockchain -Based Decentralized Edge Computingmentioning

confidence: 99%

A Decentralized Resource Allocation in Edge Computing for Secure IoT Environments

Sasikumar,

Ravi,

Devarajan

et al. 2023

IEEE Access

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The expansion of Internet of Things (IoT) devices and their integration into a variety of vital sectors has created serious concerns regarding data protection, privacy, and resource management. As a promising model, edge computing has the ability to overcome these difficulties by putting the computing power closer to IoT devices. This article presents a novel approach for decentralized resource allocation in edge computing settings, with the goal of improving the security and efficiency of IoT systems. Edge nodes are critical in our proposed framework for managing and assigning computing resources to IoT devices, minimizing latency, and optimizing network traffic. The decentralization of resource distribution promotes resilience in the event of network outages or cyberattacks and provides robustness against single points of failure. We created a proof-of-importance (PoI) consensus mechanism for creating new blocks in the blockchain integrated edge-computing IoT devices. Therefore, the consensus mechanism will ensure the trust and security of IoT devices by authentication of each user in the network. We performed a series of experiments in a simulated edge-computing setting to assess the feasibility of our proposed method. We analyze the proposed system model based on the operation of three different file delivery and transactions. The simulation outcomes show that the blockchain system efficiently delivers the files and increases the transmission rate. We also compared our file delivery and transmission rate with existing techniques, and our proposed model provides a better result. Finally, we compared the power consumption of creating IoT nodes based on proof-of-work (PoW), proof-of-stake (PoS), and PoI. The proposed PoI consensus mechanism consumes less power than the other two methods.

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A Proposal for Decentralized and Secured Data Collection from Unmanned Aerial Vehicles in Livestock Monitoring with Blockchain and IPFS

Cited by 7 publications

References 20 publications

Precision Livestock Farming Research: A Global Scientometric Review

Precision Livestock Farming Research: A Global Scientometric Review

Smart Contract and IPFS Decentralized Storage for Halal Certification Process

A Decentralized Resource Allocation in Edge Computing for Secure IoT Environments

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