We leverage blockchain technology for drone node authentication in internet of drone things (IoDT). During the authentication procedure, the credentials of drone nodes are examined to remove malicious nodes from the system. In IoDT, drones are responsible for gathering data and transmitting it to cluster heads (CHs) for further processing. The CH collects and organizes data. Due to computational load, their energy levels rapidly deplete. To overcome this problem, we present a low-energy adaptive clustering hierarchy (R2D) protocol based on distance, degree, and residual energy. R2D is used to replace CHs with normal nodes based on the biggest residual energy, the degree, and the shortest distance from BS. The cost of keeping a big volume of data on the blockchain is high. We employ the Interplanetary File System (IPFS), to address this issue. Moreover, IPFS protects user data using the industry-standard encryption technique AES-128. This standard compares well to other current encryption methods. Using a consensus mechanism based on proof of work requires a high amount of computing resources for transaction verification. The suggested approach leverages a consensus mechanism known as proof of authority (PoA) to address this problem . The results of the simulations indicate that the suggested system model functions effectively and efficiently. A formal security analysis is conducted to assess the smart contract's resistance to attacks.
翻译:在认证程序中,对无人机节点的证书进行检查,以从系统中清除恶意节点。在无人机节点中,无人机节点负责收集数据并将其传送给集群负责人(CHs)以便进一步处理。中国收集和组织数据。由于计算负荷,它们的能量水平迅速消耗。为了解决这一问题,我们提出了一个基于距离、程度和剩余能量的低能量适应性聚类(R2D)协议。在认证程序中,使用无人机节点的证书来取代正常节点,以最大的剩余能源、程度和距离BS最短的距离为基础。在环形链上保持大量数据的成本很高。我们使用行星际档案系统(IPFS)来解决这一问题。此外,森林小组利用工业标准加密技术AES-128来保护用户数据。这一标准与其他目前的加密方法相比,使用基于工作证明的共识机制需要高额的计算机资源来进行交易核查。建议采用的方法利用一个共识机制来在块链链上保持大量的数据量。我们使用行星际档案系统(IPFS)来解决这一问题。我们采用了一个有效的智能分析模型来评估这一系统。