DiscoveryIoT — World’s First Blockless DAG IoT Network

I always wonder about how the communications and network in our body work, after doing an in-depth research in the systems biology, cell biology, Genetics & Genomics on how the information transfers between our cells.
For every 10 years, there will be huge technology shift and the next technology shift will be “Autonomous World”, everything that we see today will work autonomously without human intervention. By 2030 if you go to Coffee day, the machine will identify you and brew a personalized coffee for you, you won’t find any humans over there. Oops, you poured the coffee on your table don’t worry there will be a self-cleaning mechanism which itself and assure you it is 100% clean without bacteria. These are a few cases but everything will be soon Intelligently Autonomous. The entire industry is working on that, but we really need a strong platform to achieve this. We need an Intelligent Autonomous IoT platform which can communicate trillions of devices seamlessly and execute the task without human intervention.
We need a whole new paradigm shift of technologies to achieve this. Do the existing IoT platforms providing that? No not at all. Many companies provide IoT analysis, cloud hosting, devices etc., but there is no integrated platform for IoT. say it’s like in the initial IT boom there is different types of application for contact management, leave approval, customer management etc., but when CRM & ERP comes it paves a new world of possibilities for entire Enterprise resource planning. Likewise, we are building a complete Autonomous Blockchain IoT network. I am doing research in scalable Blockchain IoT Network for a long time and engineered a solution based on biological systems.

The problems in the existing IoT networks

  1. Security Issues
  2. Scalability
  3. Interoperability — Need to support multiple protocols
  4. Data storage & Processing
  5. Lack of Intelligence
  6. Lack of event processing

Discovery — A Blockchain IoT Network

  1. Highly Secured — AI Edge Intelligence Security
  2. Scalability — Highly scalable can able to handle trillions of devices
  3. Supports widely used protocols
  4. Data storage & Processing — Hyper Edge Intelligence with Disposable AI SDN (Software defined networks)
  5. The Blockchain IoT Network is built with Intelligence

AI Blockchain 4.0 IoT Network

The future of IoT is here. We are building an autonomous intelligent blockchain IoT network, which can able to handle trillions of IoT devices, store and process the data and execute events/tasks based on the intelligence.

1. Discovery -Blockchain 4.0 IoT Network

IoT by nature is a decentralized architecture, but so far we are using centralized IoT solution to achieve this. We are building a real Autonomous Blockchain IoT network inspired by a Biological system. Discovery is a Blockless DAG protocol which is exclusively created for Autonomous Network to solve the existing problems. Discovery may explode the IoT industry to 1000x and we are building Discovery to push to its extreme and beyond to its boundaries. A Blockchain IoT platform makes the world smart & autonomous. We are building this Blockchain IoT network by connecting all smartphones and smart devices via Blockchain. All the nodes can share their smartphone Infrastructure like Wi-Fi, Bluetooth, Processing power and storage to facilitate onboard intelligence Edge Computing process. All the nodes connected to form a DAG structure and the system is a completely blockless system. We created the entire IoT network completely localized using semantic ontology. The future of IoT is here. The entire Blockchain IoT network is created by smartphones of users. A decentralized IoT network created using millions of users by providing their smartphone infrastructure. Compass is a semantic smartphone infrastructure access p2p protocol with built-in Edge computing facilities with AI and ubiquitous computing.

2. Cliot — A Backscatter IOT hardware platform

The major bottleneck in IoT devices are

  1. Device cost
  2. Battery
  3. Device size
  4. Lack of Edge Intelligence

Due to the above reasons, IoT is not penetrated in all places. But literally, IoT has to be in all places to make the entire world smart and more productive. We are building a backscatter hardware platform with a special frequency modulator so, that the backscatter IoT device can communicate with Wi-Fi, Bluetooth with a single onboard component. The IoT device will communicate via backscatter & it can harvest and store energy from backscatter. Any smartphone can become a reader for the IoT device. So, we don’t need an extra reader like RFID reader. We can use the existing decentralized smartphone as a reader, no need to have a dedicated reader. We are building Cliot with the price range from 10 cents to 50 cents as per the device requirements.

3. Edge Intelligence (Edge Computing + Artificial Intelligence)

Most of the existing IoT solutions take the leverage of Cloud computing and do the necessary computational things in the cloud. Practically the entire IoT solution is now centralized, and this model won’t support the scalability of IoT solutions. Latency is one of the problems in cloud-based IoT services. IoT devices send raw data to the cloud, where it is computed by the cloud resource. Some of the IoT solution providers and IoT device manufacturers are executing the computational activities onboard in order to prevent the network latency. But this is also not a suitable solution for the future IoT requirements as the cost of the IoT device will be high and the device requires more power to execute the computational things. This is also not a feasible solution for the next generation IoT solutions. Maintenance of these devices will be a herculean task. As we depend on more and more edge computing with onboard hardware then we are more prone to attacks.
We engineered a unique solution which is highly secured, can do basic to high-level computational activities using AI and highly scalable. Our Blockchain IoT network ensures high-level privacy as it built on the blockchain. All the nodes can execute complex computational activities. We implemented Deep Learning & Machine Learning to execute the edge computing activities. So, by implementing this any enterprise can run complex calculations on the user’s smartphone. Executing AI in a smartphone may look like wired but it’s literally not like that.
Our machine learning algorithm analyses the usage of the user’s smartphone and routes the activities to other available nodes. Eg: If a user is recording a video in a smartphone, at that moment the user cant able to provide any infrastructure resource to do the computation, AI algorithm analyses it and route the computation task to the nearby available resource. So, all the calculations will be done on the node instead of transferring the raw data to the cloud and execute it there. This provides a huge value and the nodes will act as a decision-making machine.
By nature of our IoT network architecture, the entire system is secured. The hackers can hack the IoT device with the vulnerabilities in it but can’t able to hack the processed data and the cloud where it stored. We are having AI agents in each node which analyze the pattern and behavior of the incoming data from the IoT device, if there is an issue then the connection to the IoT device is dropped and it’s intimated to the peers. So, all other nodes also get protected from the attack and based on this attack all the peers can take predictive measures. The hacker can’t able to attack the server in any way as it is a separate layer. So, the data will be completely secured. We are not providing a traditional edge computing solution; it’s a state of the art hybrid solution for the smart world.

4. Ubiquitous computing

Our vision is to build a smart IoT network which can able to do the computational task on the nodes. It’s really a big challenge to achieve this. We implemented Ubiquitous computing to achieve the computation can be made anywhere. Ubiquitous computing is an emerging domain, where computing can be done anywhere using any device, in any location and in any format. And the computing is invisible to a user. Ubiquitous computing will have a great impact in IoT environments, where the computing needs to be done on any device but needs to be invisible. As our entire IoT network is created by user’s smartphones, the computation needs to be invisible to the user. The computational task will not slow down the process of the user’s smartphone. Due to the nature of the p2p networks, there will be network instability. We implemented Ubiquitous computing and AI to solve this issue. The computation process can be transferred to any nodes and the computation task can be shared to any no of nodes based on the machine learning algorithms.

Token Sale & Team


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