GoWithMi Whitepaper

GoWithMi aims to build a distributed map ecosystem through blockchain, AI and GIS (Geographic Information System) technology, which enables anyone (any node) to initiate and autonomously perform use, update and maintenance of maps without depending on any centralization organization in the entire process.

The maturity of 5G, IoT, Edge AI and other technologies as well as the breakout of blockchain reveal the advent of the new era of Internet of everything, which will become the third generation of the Internet after the first generation of PC Internet and the second generation of mobile Internet.

The spatial location information of people and things in the real world need map to realize digital, so that they can be perceived by the digital universe. In this sense, the map is the “Ledger of Everything” that records the spatial location. It provides a connection service from the real world to the digital world by recording the “spatial location” which the real world mapped to the digital world.

Just like the original intention of the Bitcoin was to break the “payment monopoly”, GoWithMi was originally designed to break the “map monopoly”. In the first and second generation of the Internet, the map is in the hands of a handful of Internet tycoons represented by Google. This triggers a series of obvious drawbacks: abuse of personal information, leak of personal privacy [1], arbitrary price hike of map service that businesses need[2], or even shut down of map service [3], and so on.

If this situation stay unchanged, the Internet of everything will still be threatened by “map monopoly”.

To change this situation and break the map monopoly, GoWithMi explores the “decentralization” practice mainly from technology and community governance: 1. GoWithMi’s main chain – the technical realization of peer-to-peer map network Gaia

Gaia is a peer-to-peer map network completely. Map data update, map service provision and maintenance can be initiated from any node in the network and cooperate as needed throughout the whole network without any centralization mechanism. The TPS or supporting governance mechanisms of the existing blockchain projects such as BTC, ETH, and EOS, cannot meet the application needs in non-financial scenarios. We propose the spatial geographic computing architecture (GeoMesh Computing Architecture) to allow the data structure and core algorithm in the map industry to combine with the peer-to3 / 42

GoWithMi White Paper V3.0.0 All Rights Reserved

peer (Peer-to-Peer) network and consensus mechanism of the blockchain in their “gene level”, so as to provide a peer-to-peer map network that combines the map service with the decentralized self-organization of blockchain.

The detailed method is:
– Designing a new basic map data structure GeoMesh, which enables basic map data to be segmented into a large number of discrete and small-sized GeoMesh data;
– Designing a consensus mechanism like PoW (PoCW, Proof of Compilation Work) that allows multiple nodes to create and update map data by mesh (Mesh) like block-by-block ledger-keeping;
– Realizing a peer-to-peer network mechanism that allows GeoMesh to be synchronized between nodes on demand;
– Reconstructing the core algorithm to allow the node to provide a complete map service in a specified area based on the currently cached GeoMesh rather than synchronizing all map data;
– Designing a proof mechanism (PoG, Proof of GeoMesh) to enable the node to prove its map service capability simply through the effectively cached GeoMesh;
– Designing a ledger-keeping consensus design for blockchains in nonfinancial scenarios (DPoG) that allows all nodes to maintain the same voting rights and map service obligations to the ledger-keeping nodes.

Based on the designing philosophy of GCA (GeoMesh Computing

Architecture), Gaia will coordinate the computing resources of all nodes in the whole network effectively . Compared with the PoW consensus, the PoCW makes those node computing power which are participated in this consensus spend in the “map data compilation”, a service benefits the map service, and let the computing power game between the nodes can be used to ensure the consistency of the core map service resource “GeoMesh”. Based on the results of the PoCW work, the entire network nodes can synchronize the GeoMesh on demand to ensure the consistency of the entire network map service (PoG) and the fairness of the accounting node election (DPoG). Based on the planning of such computing power, under the premise of ensuring data consistency, service consistency and fair governance, the computing resources of most nodes of the whole network can be released to the map service itself, thereby increasing the TPS of the network by a thousand times or even thousands of times compared with that of the existing public chain.

2. The organization and governance of the map ecosystem and other business that goes with the main chain Gaia, including:
– An AI and human-machine collaborative data collection network combining Token and Edge AI that could shorten the single data data collection time from ten minutes to ten milliseconds.
– A decentralized governance mechanism for map data rights which takes into account both the investment efficiency and investment efficiency of map data.
– A decentralized governance mechanism for core ecological business resources that ensure optimal utilization of core resources.

If BTC is a Peer to Peer version of “financial ledger” , then GoWithMi is the Peer to Peer version of “Ledger of Everything”. The blockchain revolution represented by BTC, ETH, and EOS reveals the possibility of participants playing positive-sum game based on a distributed network to co-construct ecology. GoWithMi hopes to extend this kind of “self-governance” in positive-sum game to non-financial scenarios, to decentralize the “ledger-keeping rights” of the map – “Ledger of Everything”, thus build the next generation of global decentralized location service infrastructure that benefits all.

GoWithMi Whitepaper

GoWithMi Website
GoWithMi Whitepaper
GoWithMi Chinese Whitepaper