2 posts tagged with "drones"

Multi-access edge computing (MEC) has evolved as a viable option to enable mobile platforms to cope with computational complexity and lag-sensitive programs, thanks to the fast growth of the Internet of Things (IoT) and 5G connectivity. Computing workstations, on the other hand, are often incorporated in stationary access points (APs) or base stations (BSs), which has some drawbacks. Thanks to drones' portability, adaptability, and maneuverability, a new approach to drone-enabled airborne computing has lately received much interest (Busacca, Galluccio, and Palazzo, 2020). Drones can be immediately dispatched to defined regions to address emergency and/or unanticipated needs when the computer servers included in APs/BSs are overwhelmed or inaccessible. Furthermore, relative to land computation, drone computing may considerably reduce work latency and communication power usage by making use of the line-of-sight qualities of air-ground linkages. Drone computing, for example, can be useful in disaster zones, emergencies, and conflicts when grounded equipment is scarce.

Drones as the Next-Generation Flying IoT#

Drones will use a new low-power design to power the applications while remaining aloft, allowing them to monitor users and make deliveries. Drones with human-like intelligence will soon be able to recognize and record sportsmen in action, follow offenders, and carry things directly to the home. But, like with any efficient system, machine learning may consume energy, thus research on how to transfer a drone's computing workloads to a detector design to keep battery use low to keep drones flying for very much longer is necessary. Drones are a new type of IoT gadget that flies through the air with complete network communication capabilities (Yazid et al., 2021). Smart drones with deep learning skills must be able to detect and follow things automatically to relieve users of the arduous chore of controlling them, all while operating inside the power constraints of Li-Po batteries.

Drone-assisted Edge Computing#

The 5G will result in a significant shift in communications technologies. 5G will be required to handle a huge amount of customers and networking equipment with a wide range of applications and efficiency needs (Hayat et al., 2021). A wide range of use instances will be implemented and back, with the Internet of Things (IoT) becoming one of the most important due to its requirement to communicate a large number of devices that collect and transmit information in numerous different applications such as smart buildings, smart manufacturing, and smart farming, and so on. Drones could be used to generate drone cells, which also discusses the requirement for combining increasing pressure of IoT with appropriate consumption of network resources, or perhaps to establish drones to deliver data transmission and computer processing skills to mobile users, in the incident of high and unusual provisional incidents generating difficult and diverse data-traffic volume.

How AI at the Edge Benefits Drone-Based Solutions#

AI is making inroads into smart gadgets. The edge AI equipment industry is growing at a quicker rate due to the flexibility of content operations at the edge. Data accumulation is possible with edge technology. Drones, retail, and business drones are rising in popularity as edge equipment that creates data that has to be processed. Drones with Edge AI are better for construction or manufacturing, transportation surveillance, and mapping (Messous et al., 2020). Drones are a form of edge technology that may be used for a variety of tasks. Visual scanning, picture identification, object identification, and tracking are all used in their work. Drones using artificial intelligence (AI) can recognize objects, things, and people in the same manner that humans can. Edge AI enables effective analysis of the data and output production based on data acquired and delivered to the edge network by drones, and aids in the achievement of the following goals:

• Object monitoring and identification in real-time. For security and safety purposes, drones can monitor cars and vehicular traffic.
• Infrastructure that is aging requires proactive upkeep. Bridges, roads, and buildings degrade with time, putting millions of people in danger.
• Drone-assisted surveillance can help guarantee that necessary repairs are completed on time.
• Face recognition is a technique for recognizing someone's face whereas this prospect sparks arguments about the technology's morality and validity, AI drones with face recognition can be beneficial in many situations.

Drones may be used by marketing teams to track brand visibility or gather data to evaluate the true influence of brand symbol installation.

Challenges in Drone-Assisted Edge Computing#

Drone computing has its own set of challenges such as:

• Drone computing differs greatly from ground computation due to the extreme movement of drones. Wireless connectivity to/from a drone, in particular, changes dramatically over time, necessitating meticulous planning of the drone's path, task distribution, and strategic planning.
• Computational resources must also be properly apportioned over time to guarantee lower data energy usage and operation latency. A drone's power flight plan is critical for extending its service duration (Sedjelmaci et al., 2019).
• Due to a single drone's limited computing capability, many drones should be considered to deliver computing services continuously, where movement management, collaboration, and distribution of resources of numerous drones all necessitate sophisticated design.

Conclusion#

In drone computing, edge technology guarantees that all necessary work is completed in real-time, directly on the spot. In relief and recovery efforts, a drone equipped with edge technology can save valuable hours (Busacca, Galluccio, and Palazzo, 2020). Edge computing, and subsequently edge AI, have made it possible to take a new and more efficient approach to information analysis, resulting in a plethora of information drone computing options. Drones can give value in a range of applications that have societal implications thanks to edge technology. [Edge data centres] will likely play a key part in this, maybe aiding with the micro-location data needed to run unmanned drone swarms in the future. Increasing commercial drone technology does have the ability to provide advantages outside of addressing corporate objectives.

Read more about the Other Edge Computing Usecases.

What's happening with 5G and the 5G networks innovation and rollout? How are these shaping innovation and the world we know? Are you curious? Read More!

We will never forget the year 2020 as the year of the COVID-19 pandemic. We all remember how we witnessed a lengthy lockdown during 2020, and it put all our work on a halt for some time. But we all know that the internet remains one of the best remedies to spend time while at home. We have a 4G network, but there was news that the 5G network would soon become a new normal. Interestingly, even during COVID-19, there were several developments in the 5G network. This article will tell you how the 5G network testing and development stayed intact even during the pandemic.

Innovative Tools That Helped in 5G Testing Even During the Pandemic (Intelligent Site Engineering)#

To continue the 5G testing and deployment even during a pandemic, Telcos used specific innovative tools, the prominent being ISE (Intelligent Site Engineering).

What is Intelligent Site Engineering?#

Intelligent Site Engineering refers to the technique of using laser scanners and drones to design network sites. It is one of the latest ways of network site designing. In this process, they collected every minute detail to create a digital twin of a network site. If the company has a digital twin of a network site, they can operate it anywhere, virtually.

They developed Intelligent Site Engineering to meet the increasing data traffic needs and solve the network deployment problems of the Communication Service Providers (CSPs). This incredible technology enabled the site survey and site design even during the pandemic. We all know that site design and site surveys are vital for the proper installation of a network. But it was not possible to survey the site physically. Therefore, these companies used high technologies to launch and deploy 5G networks even in these lockdown times.

Intelligent Site Engineering uses AI (Artificial Intelligence) and ML (Machine Learning) to quickly and efficiently deliver a network. This helps CSPs to deploy frequency bands, multiple technologies, and combined topologies in one place. This advanced technology marks the transition from the traditional technique of using paper, pen, and measuring tape for a site survey to the latest styles like drones carrying high-resolution cameras and laser scanning devices.

How Does Intelligent Site Engineering Save Time?#

The Intelligent Site Engineering technique saves a lot of time for CSPs. For example, in this digitized version, CSPs take only 90 minutes for a site survey. Previously, they had to waste almost half a day in site surveys using primitive tools in the traditional method. Instead, the engineers can use the time these service providers save for doing other critical work.

Also, this process requires fewer people because of digitalization. This means that it saves the headcount of the workforce and the commuting challenges. Also, it reduces the negative impact on the environment.

What is the Use of Digital Twins Prepared in This Process?#

Using Intelligent Site Engineering, the CSPs replicate the actual site. They copied digital twins through 3D scans and photos clicked from every angle. The engineers then use the copies to get an accurate analysis of the site data. With the highly accurate data, they prepared the new equipment. The best example of digital twins is that CSPs can make a wise decision regarding altering the plan for future networks. Therefore, a digital twin comes in handy, from helping in creating material bills to detailed information about the networking site and related documents.

The technique is helpful for customers as well. For example, through the digital twin, customers can view online documents and sign them. In this way, this advanced technology and innovation enable remote acceptance of network sites even with 5G.

How Did the COVID Pandemic Promote the Digitalization of the 5G Network?#

We all know that the COVID pandemic and the subsequent lockdown put several restrictions on travel. Since no one could commute to the network site, it prepared us to switch to digital methods for satisfying our needs. The result was that we switched to Intelligent Site Engineering for 5G network deployment, bringing in 5G networks innovation.

When physical meetings were restricted, we switched to virtual conversations. Video meetings and conference calls became a new normal during the pandemic. Therefore, communication service providers also used the screen share features to show the clients the network sites captured using drones and laser technology. The image resolution was excellent, and the transition from offline to online mode was successful. Training of the personnel also became digitized.

The best part of this digitalization was that there was no need to have everyone on one site. Using these digital twins and technological tools, anyone can view those designs from anywhere. The companies could share the screen, and the clients could review the site without physical presence.

How Much Efficiency Were the CSPs Able to Achieve?#

When communication service providers were asked about the experience of these new technological tools for network sites, they felt it was better than on-site conversations. They reveal that these online calls help everyone look at the same thing and avoid confusion, which was the biggest problem in on-site meetings. Therefore, this reduces the queries, and teams could complete the deal in less time than offline sales.

The most significant benefit is for the technical product managers. They can now work on online techniques for vertical inspection of assets and sites. In addition, 3D modeling is enhanced, and the ground-level captured images ensure efficiency.

Rounding Up About 5G Networks Innovation:#

The year 2020 was indeed a gloomy year for many of us. But the only silver lining was the announcements of technological advancements like the 5G launch, even during these unprecedented times. The technology advancement enabled us to use this pandemic wisely, and we deployed the 5G network at several places. So, we can say that the innovations remained intact even during the pandemic because of intelligent and relevant technologies. Therefore, it would not be wrong to conclude that technological advancements have won over these challenging times and proved the future.