Unmanned aerial vehicle (UAV) swarms are increasingly used in critical applications such as aerial mapping, environmental monitoring, and autonomous delivery. However, the reliability of these systems is highly dependent on uninterrupted access to the Global Navigation Satellite Systems (GNSS) signals, which can be disrupted in real-world scenarios due to interference, environmental conditions, or adversarial attacks, causing disorientation, collision risks, and mission failure. This paper proposes SwarmRaft, a blockchain-inspired positioning and consensus framework for maintaining coordination and data integrity in UAV swarms operating under GNSS-denied conditions. SwarmRaft leverages the Raft consensus algorithm to enable distributed drones (nodes) to agree on state updates such as location and heading, even in the absence of GNSS signals for one or more nodes. In our prototype, each node uses GNSS and local sensing, and communicates over WiFi in a simulated swarm. Upon signal loss, consensus is used to reconstruct or verify the position of the failed node based on its last known state and trajectory. Our system demonstrates robustness in maintaining swarm coherence and fault tolerance through a lightweight, scalable communication model. This work provides a practical and secure approach for decentralized drone operation in unpredictable environments.

This paper introduces B4B.app, a Web3 influencer marketing protocol that leverages the Internet Computer (ICP) to solve persistent industry challenges such as fragmented data, unreliable ratings, and payment disputes. B4B.app delivers a trustless, cross-chain infrastructure combining influencer discovery, campaign management, and secure escrow payments in one seamless platform. At its core, B4B-ICP acts as a reputation and settlement layer, aggregating performance data from multiple social platforms and ensuring transparent, on-chain record keeping. This paper presents the platform’s architecture, user workflow, and implementation stack, along with key milestones and planned enhancements, including EVM interoperability and AI-driven performance prediction.

The evolution of blockchain technology, from its origins as a decentralized ledger for cryptocurrencies to its broader applications in areas like decentralized finance (DeFi), has significantly transformed financial ecosystems while introducing new challenges such as Maximum Extractable Value (MEV). This paper explores MEV on the Polygon blockchain, with a particular focus on Atomic Arbitrage (AA) transactions. We establish criteria for identifying AA transactions and analyze key factors such as searcher behavior, bidding dynamics, and token usage. Utilizing a dataset spanning 22 months and covering 23 million blocks, we examine MEV dynamics with a focus on Spam-based and Auction-based backrunning strategies. Our findings reveal that while Spam-based transactions are more prevalent, Auction-based transactions demonstrate greater profitability. Through detailed examples and analysis, we investigate the interactions between network architecture, transaction sequencing, and MEV extraction, offering comprehensive insights into the evolution and challenges of MEV in decentralized ecosystems. These results emphasize the need for robust transaction ordering mechanisms and highlight the implications of emerging MEV strategies for blockchain networks.

The article introduces a proof-of-concept (PoC) that demonstrates the management of Internet of Things (IoT) devices' infrastructure via smart contracts, facilitating their interaction with the blockchain through gasless transactions. The focus is empowering IoT devices to autonomously sign transactions using their verified private keys, eliminating the necessity for external wallets and enabling blockchain interaction using Biconomy without incurring gas fees. In this PoC, managers can validate IoT devices, permitting them to transmit transactions securely without being able to manipulate measurements or risking losing crypto assets in case of hardware malfunctions. This innovative method ensures that devices with minimal funds can access sensor data and communicate with a smart contract on the blockchain to update information utilizing account abstraction. Detailed workflow and simulation results are provided to showcase the practicality and advantages of this approach in scenarios demanding seamless automated blockchain engagement through IoT devices. The PoC code is openly accessible on GitHub, enhancing the transparency and accessibility of our research outcomes.

The demo introduces a Proof of Concept (PoC) that integrates IoT devices with blockchain technology to create a secure transaction environment. The primary goal is to enable IoT devices to sign transactions on the blockchain independently, using their authenticated private keys. This approach is innovative and ensures scalability, efficiency, and real-time responsiveness. It accommodates a higher transaction volume, streamlines processes, improves efficiency, and eliminates delays associated with human interaction. The PoC code is publicly accessible on GitHub.

The paper discusses the challenges open-source software (OSS) developers face in securing funding for their projects. It proposes the creation of a demo for an escrow smart contract, modeled after Initial Coin Offerings (ICO), to provide funding for OSS projects. The smart contract incorporates multi-signature, escrow, and ICO logic to give donors control over the project’s status in a decentralized autonomous organization. The workflow involves developers creating proposals and roadmaps, with guest users supporting the project to become donors. Donors receive special tokens that allow them to vote on the project’s development process. The demo aims to provide a structured and transparent process for funding and decision-making within the project, addressing the challenges OSS developers face.

Renewable energy projects, particularly wind and solar farms, have garnered significant attention as a potential solution to global energy challenges. Despite the energy production obstacles, the steady availability of fossil fuels continues to compete due to established distribution systems, as societies increasingly rely on electricity. Hydrogen fuel emerges as a promising avenue for energy production, storage, and distribution, involving converting surplus renewable electricity into hydrogen through electrolysis, storing it, and distributing it. Our novel approach leverages blockchain technology to enhance the efficiency and traceability of hydrogen fuel production, offering a unique synergy of transparency, security, and decentralized governance. We showcase its viability and effectiveness using the ERC-1155 token standard to tokenize renewable resources and convert them into hydrogen fuel. Within our tokenized fuel blockchain architecture, we simulate the forecasted growth in hydrogen production and vehicle demand, highlighting our approach's efficiency, traceability, and transparency. This integration showcases the potential for a sustainable hydrogen fuel ecosystem. The gas consumption data analysis indicates that the daily gas consumption remains below 194 million Gas for refilling 3245 vehicles (including the cost of one-time contract deployment), demonstrating the feasibility and efficiency of our approach.

In the demo, we present NFT SMASH-a game to test your NFT rarity sense. A rarity meter aims to be an immanent value estimator for NFTs: the rarer the NFT, the more expensive it is now compared to other NFTs within the same collection. While working with rarity meters, we designed and developed a game to examine how intuitive are their results. The BAYC collection data mining, rarity computation with the Kramer algorithm, and a web game application are essential parts of the demo design. The game is a five-round binary choice of picture followed by the game run summary.

This paper discusses a blockchain-based system that uses a quantitative tokenized approach for the production and distribution of hydrogen fuel. Currently, the production of hydrogen fuel depends on the supply of water and electricity from external entities. Our decentralized application utilizes a smart contract deployed on a blockchain, enabling the seamless conversion of elements into fuel and the production and distribution process. The paper presents the application's workflow and demonstrates its potential to revolutionize the hydrogen fuel industry. This paper describes the application workflow. The code is available on GitHub.

In the demo, we present Kramer– an online rarity meter for the Karnaia NFT collection. Meter takes NFTs’ traits, sets, and editions and fits their combination for trading data. Kramer provides the score and the rank of the desired bird and full statistics of all birds.

The circulation of counterfeit products in the supply chain causes considerable damage to companies. Implementation of blockchain technology can overcome this problem. This paper describes a method to permanently record transaction data in a private permissioned blockchain by tokenization. This paper takes an example of an aircraft's supply chain is taken as a model example to explain the proposed concept.

Blockchain technology has a lot of applications including but not limited to cryptotokens. For example, permissioned blockchains for state registries can include no money logic inside. But the creation of cryptotoken is a typical example of blockchain application and is a popular model to measure performance. In this paper, we described how to construct an account-based cryptotoken using Exonum, an open-source framework for creating blockchain applications, and by the means of performance tests shown that the proposed solution meets real-life throughput requirements for many applications. The proposed approach can be used to create cryptocurrencies in other open-source frameworks focused on permissioned blockchain applications.