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Self-Driving Networks: What They Can Really Do For You
Managing networks might be cumbersome. Definitely, having networks run and manage themselves is key. That is the intuition behind self-driving networks.
Maybe, you are worried about long waits before getting a response on a problem you filed. To a tech guru, managing networks might be cumbersome. Definitely, you are keen on having networks run and manage themselves. That is the intuition behind self-driving networks.
Perhaps it all sounds amazing! Ever imagined having your intents readout or executed without issuing a command or pressing a button? Or probably enjoying an enhanced user experience? Everyone can agree that repeatedly filing complaints is tedious, and encountering problems doing it will make the task worse.
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An Evolving World
The way we interact with the world is changing. Tech, too, is changing with new boundaries being drawn. Advances in machine learning, artificial intelligence (AI), and deep learning are an enabler towards enjoying the services offered by autonomous systems. Convolutional Neural Network (CNN), recurrent neural networks (RNN), and artificial neural networks (ANN) have altered our conception and perception of the world as self-driving networks extent beyond automatic to self-operating. Ideally, it reflects cutting edge technologies of the last decade bringing together players from the automotive, service, and telecom sectors. Even sectors like education, medical, and construction benefit from artificial intelligence by automating their tasks.
Neural Networks
Ray Kurzweil jibes that the future of computing and informatics are closer than anticipated with advances in artificial intelligence (AI), making it possible for the inception of self- driving networks. Juniper Networks describes them as being solidly reliable, operationally efficient, and remarkably adaptive. Unprecedented developments are being witnessed in the networking landscape. Consequently, redundant, human-driven networks are increasingly being shelved for more agile, eco-friendly systems.
Towards Self-Driving Cars
Milestones have been realized in developing self- driving vehicles. Nvidia, in 2017, launched a new Tensor3 GPU together with Drive PX serving as automated delivery vehicles. That same year, Waymo tried out a self-driving taxi in Arizona. The following year, Waymo One was launched as a commercial self-driving car. The MIT Technology Review has indicated that, as of 2019, new vehicles in the United States had advanced driver-assistance systems (ADAS). The review heralds the system’s efficiency improvement and a commitment to addressing the challenges of safety, security, and managing public expectations.
However, developing autonomous car technology is just one of the many hurdles between real human drivers and fully autonomous motoring. The Government would need a huge legal restructure before self-driving cars become a commercial reality. Questions remain over whether the manufacturer or the driver would be liable in the case of an accident, and whether motorists would still require driving licenses if the car is driving.
The Race
As car manufacturers, including Volvo, Ford, and General Motors race towards full autonomy, Infiniti Research report indicates that increased lane capacity, real-time route optimization, and reduced energy consumption is steering the industry.
Urban Mobility
But then, self-driving cars will need self-driving cities. According to Apple’s Sidewalk Labs launched in 2019, self-driving vehicles are reshaping urban mobility with newer expectations on congestion and employment. Inter-car communication will perhaps restore comfort in the cities, especially in car parks.
Sensor Technology and Huawei’s Proposal
The backbone of these networks hinges on sensor technology, making it possible to categorize them into five levels beginning with no automation, through basic automation. As such, you might expect driving in a car without a steering wheel. Moreover, rather than the usual ramshackle occasioned during heavy traffic, a level three car can observe all traffic rules, thereby decongesting highways.
Intent-Driven Network
Within the telecom industry, merging physical networks with business intentions has been vital in adopting edge technologies. In 2018, Huawei launched the Intent-Driven Network (IDN) solution as a step towards autonomous driving networks from SDN networks. This is revolutionary even as we gear up towards a 5G technology-driven world. Even then, operating expenses are pretty high, but we remain optimistic about breakthroughs in cost reduction as the digitization wave sweeps across the board.
Self-driving networks are here to stay. They are, however, not meant to stifle human progress but to fuel greater ambition and enhance user experience. Similarly, as networks manage an increasing number of operations, more opportunities crop up.
To learn more about the latest developments regarding self-driving networks and how our telecom fulfillment and assurance solutions can help you, contact us today.
Satellite Internet is a fast, secure way to connect. Learn about its main providers, objectives, and initiatives that revolutionize the satellite internet.