# IoT Blockchain Data Vercity with Data Loss Tolerance
## 2 Materials and Methods
### Literature Review
The convergence had created a lot of potentials, but there are challenges such as the processing speed of the IoT device and blockchain, time durability, big data storage and real-time connectivity. In [14; 15; 16], various blockchain-based features are presented in enhancing data reliability, security and traceability. [PERSON] et al. [14] demonstrated the suitability of the blockchain technology for smart applications. Two applications with use cases were presented: smart farming and hospitality. Standardization was also proposed for data elements in the communication processes, name and extensible markup language and data format with respect to Application Programming Interfaces (API). [PERSON] et al. [15] presented the limitations of IoT in storage capacity and scalability, privacy leakage, high cost and regulation problems, and found that the throughput and latency problem can be complemented with blockchain technology. [PERSON] [16] gave an overview of the disruptive blockchain platforms Bitcoin, Multichain, Ethereum and Chain Core. Each of these were presented with a different approach to networking, transactions, mining, validation, security, and permissions. [PERSON] also studied the standardization of the blockchain technology in a unified way. His study was directed to strive towards blockchain standardization in node roles, processes, services, and validation. [PERSON] [17] proposed a robust dynamic edge network architecture (RDNA) design to mitigate the congestion problem in wireless networks, thus paving the way towards the full realization of IoT big data aggregation. [PERSON]'s architectural design leverages the latest technological advances of mobile devices to provide low-cost ubiquitous computing and communications. A holistic approach to improve network robustness was developed, which includes solutions at these layers: physical, access, networking, application, and business. [PERSON] et al. [18] proposed a collaborative cloud-edge computing framework in a distributed neural network, focusing on the neural network tasks in the resource constrained IoT environment. Cognitive radio in low power wide area networks was also studied for the suitability in scarce infrastructure resources environment, as presented by [PERSON] et al. [19]. In [20; 21], blockchain technology features beyond its basic features (P2P and DLT) are studied, including off-chain storage and further single-point-of-failure avoidance techniques. They can enhance data veracity further with better secured storage techniques and auto recovery. [PERSON] et al. [20] introduced enhanced security of IoT data sharing and off-chain storage with blockchain encryption. [PERSON] et at. [21] proposed single-point-of-failure avoidance with blockchain and optimized routing state protocols (OLSR) that create auto-recovery systems. The aforementioned research works are some of the emerging approaches that can improve the data veracity of the IoT. Edge and blockchain computing are the new paradigms that enable devices at the edge layer to have intelligence in data collection, communications, computation and secured distributed storage. They minimize the dependency on fully coupled perception, network, and application architecture, and therefore it is capable of improving data veracity.