# Development planning This paper presents a thoughtful design for constructing FOGR network. However, we believe that this is only the beginning of decentralized fog computing engineering, research and design. We believe that this close integration of real-world hardware with blockchain and native tokens is a novel and valuable innovation that can be applied to other types of networks and physical layers. We believe that the future of the blockchain does not lie in who has the largest hash capacity or obtains the cheapest power, but in the fact that the mining proof in the blockchain is associated with providing valuable and verifiable services. We have taken or intend to take and start a number of development processes, including but not limited to: * Study the applicability of applying these ideas to other hardware physical layers (such as smart phones, cars, home appliances) * Explore the potential to provide 5g 60GHz + millimeter wave connectivity through similar designs * Study and implement more consensus proofs to ensure that the FOGR network remains secure in the development process * Game theory analysis of incentive system * Explore a higher cap on the kubernetes cluster management container * Scoring algorithms used in miners * Create and publish DCPP wireless specifications * Manufacture relatively dedicated equipment modules to be available when the FOGR network is started * Study the deployment of smart contract environment beyond basic FOGR primitives * Robust architecture and design patterns for scalable smart contracts * Blockchain interoperability * Continuous work and development of forward error correction technology --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://fogcomputingchain.gitbook.io/fog-computing-chain/development-planning.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.