Biological Networks, After Years Of Gradual Evolution, Have The Potential To Overcome The Most Difficult Problems By Using Intelligent Solutions. 

Biological Networks sing their creative solutions; these networks have been able to overcome the biggest problems that threaten them, such as air pollution, and adapt and adapt in such a way that they can overcome such issues.

The human brain and body are among the best and most prominent examples mentioned in connection with these networks.

Now, if we can be inspired by such a natural pattern and implement it following the world of technology, in practice, we will be able to imitate a biological network very similar to its real example and, in practice, implement an intelligent Internet.

 But Internet awareness is a concept that will implement in a few steps. Biological Networks

The first step is that all computers connected to the network must be capable of routing. Once the consumables can perform calculations, there is no need for interoperability equipment on the leading network.

Wireless technologies such as Bluetooth or WiFi can use for this purpose. These two technologies give us the ability to create synchronous grids. This solution allows a wide range of devices such as lamps, thermostats, electrical outlets, tablets to send and relay packets in a single terminal.

Offline loading of local traffic from the Internet allows the Mesh Network to get rid of its bandwidth to serve over long distances. Internet TV Protocol (IPTV) is one of these cases.

This approach saves costs and does not force other organizations to pay high fees to upgrade their infrastructure. Also, because these devices appear in the form of data sending and receiving stations, they create intelligent routing gateways that pass through bottlenecks in the network and stream information to underground cellular services in places where the Internet is of poor quality.

(Infrastructure that has been transferred to the basement for proper coverage) Transfers and thus improves the lost quality.

In the second step, to accurately and intelligently manage different data and terminals, we need more precise methods for constructing and selecting the data transmission path. The best model that researchers have considered is the human autonomic nervous system. This system controls our respiration, blood circulation, temperature, and many other functions of the body without our direct supervision.

In autonomic (involuntary) nervous systems, the ability to identify disorders and act quickly to adapt to the body is the most crucial factor before it poses a severe threat to human life. All these processes are done without our supervision and work best without any control. Now imagine using this autonomous control model for data transmission.

Currently, when a network attack affects you, it either aggregates the data (similar to what happened to the GitHub site and Dine Company) or disables a node.

(An attack that targeted the heart of the Internet a few years ago and became known as heart bleeding).

In all cases, we notify of the attack after the attacks caused a new network outage or disruption. But natural autonomous neural systems enable routers, servers, and network terminals to work together in a coordinated manner, rather than solving a problem independently of each other.

In the event of a severe accident such as a flood, fire, or earthquake, a communication network is entirely out of order, and almost no fundamental routing points are available. In such a situation, the situation is far worse than you can imagine. Such problems lead us to look for new and efficient routing protocols.

Based on this approach, network engineers have established a close relationship with researchers in the field of neuroscience. Hoping to provide a comprehensive solution in this regard.

IBM is a pioneer in the field of presenting new ideas

The cycle is more simply called the knowledge cycle. In the meantime, IBM has developed an interesting idea called Monitor-Analyze-Plan-Execute (MAPE). The algorithm proposed by IBM emphasizes that an intelligent protocol must analyze all data. This algorithm should determine using mathematical formulas whether the inputs conform to the usual pattern or whether there are significant differences.

If the inputs contradict the predefined patterns, do the routers can solve the problem and make the matching process operational? At this point, the algorithm must calculate the operating capacities of a router correctly.

For example, suppose a user opens a low-quality YouTube video at 240 and suddenly increases the quality to 1080. In this case, the algorithm should be able to calculate the operating power of the router so that the problem of buffer overflow does not occur for the router.

To be more precise, evaluate the router’s processing power to process this video stream. Google has now essentially mastered such technology.

In the third step, a strategic strategy should develop to solve possible problems. Biological Networks

For example, the server streaming video data should be informed in advance that it should reduce the video data streaming rate or disconnect. And the process of sending and receiving data through another node and other alternative routes.

In the fourth step, the prepared plan must implement. Of course, it must bear in mind that the execution commands may have made several changes and corrections to the routing table. Several factors must be reset to solve this problem,  to speed up the data transfer rate.