This study aims to improve execution time, CPU utilization, network efficiency, and scalability while upholding robust security measures. The IOTA-DLT-based RA-WRW algorithm is developed in Python, considering node resources and transaction weights for optimal tip selection—verification procedures confirming tip authenticity and transaction validity. The algorithm significantly improves IOTA network transaction processing efficiency tips exhibit high authenticity and consistency, affirming the algorithm's effectiveness. The research presents the innovative IOTA-DLT RA-WRW algorithm, which integrates Resource Allocation (RA) and Weighted Random Walk strategies. This novel approach tackles challenges like lazy tip selection, network congestion, and double spending. By performance parameter and the tip selection process, the algorithm improves comparative analyses against existing methods and confirms the superior performance of our model, boasting high accuracy, f-measure, recall, precision, and scalability in distributed ledger transactions, significantly enhancing the IOTA network's transaction processing capabilities. DOI:https://doi.org/10.52783/pst.1006
Governments and businesses typically utilize tenders or contracts to purchase products or services. When improper techniques are used, improper tender management results in significant losses. This covers issues including favoritism of contractors, poor record-keeping, lack of openness, hacking, data tampering, and other things. We have employed a straightforward and secure block chain method to address this issue. One such technology that has recently caught the interest of governments all around the world is blockchain technology. The blockchain has the possibility to enter many domains thanks to its increased security, enhanced traceability, and least expensive infrastructure. To enable a completely transparent bidding process, we use block chain technology in this scenario to secure transaction-based documents such as tender documents, applications, bid proposals, firm profiles, prior performance records, approval officer details, and rejection details.
Jonas L de Vilas Boas, Antônio Marcos Alberti, Joel J. P. C. Rodrigues
The complementarity of distributed ledger technologies such as Blockchain and the Internet of Things has gained increasing attention in the literature. In order to facilitate the immutable validation and registration of the data collected by the devices, the so-called smart contracts have been used and distributed applications have been developed to increase the adhesion of the actors. Thus, this work presents a tool for experimentation to evaluate the performance and scalability of distributed applications in the context of the Internet of Things. The proposed tool is flexible and allows experimentation with different technologies and configurations. This work contributes to the convergence among immutable information recording, deterministic computation, and sensing of physical world quantities.
The Internet of Things paradigm enables various applications in different fields through the exponential increase of devices and sensors. Architecting systems based on Internet of Things concepts is very challenging and has focused mostly on a centralized approach. Decentralized or distributed architectures aren't straightforward concepts for IoT applications, but through the distributed ledger and Blockchain implementations that provide better identification, security and data integrity the fully distributed system architecture can become a reality. Major cloud vendors these days are using edge computing platforms to bring the cloud closer to the device, using a locally centralized system based on edge agents, which can be seen as a partially decentralized module in the full IoT cloud picture. Blockchain allows this edge IoT environment to become distributed if services or functions installed on the edge agent are used by the device to gain Blockchain capabilities. If more capable devices are deployed, then the Blockchain functionality can be embedded in the IoT and the system becomes a fully distributed peer-to-peer network.