Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots

Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots explores wireless sensor networks and cellular networks, presenting approaches using mobile robots or UAVs to collect sensory data and using UAVs as aerial base stations. It also covers challenges and potential methods to address open questions.

Format: Paperback / softback
Length: 216 pages
Publication date: 24 January 2022
Publisher: Elsevier Science & Technology

Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots encompasses a wide range of wireless communication networks, including wireless sensor networks and cellular networks. In the realm of wireless sensor networks, the book delves into innovative approaches that involve the utilization of mobile robots or unmanned aerial vehicles (UAVs) to collect sensory data from sensor nodes. These mobile robots or UAVs serve as versatile platforms, enabling them to traverse complex environments and reach remote locations, making them ideal for gathering data from dispersed sensor networks.

On the other hand, the book also explores the potential of using UAVs as aerial base stations to serve cellular users. By deploying UAVs at high altitudes, cellular networks can benefit from enhanced coverage and signal strength, leading to improved communication quality and increased network capacity. This innovative approach not only enhances the overall performance of cellular networks but also opens up new opportunities for extending coverage in areas where traditional infrastructure is limited or unavailable.

However, the development of wireless communication networks supported by autonomous UAVs and mobile ground robots presents several challenges. One of the primary challenges is the efficient management of energy consumption in these networks. As mobile robots or UAVs are often powered by batteries or other energy sources, it is crucial to optimize their energy usage to prolong their operational duration and reduce the need for frequent recharging or replacement.

Furthermore, the deployment of wireless communication networks in complex environments, such as urban areas or outdoor environments with varying weather conditions, poses significant challenges. These networks must be designed to withstand harsh environmental conditions, including interference from other wireless devices, obstacles, and changing weather patterns. Additionally, the security and privacy of the data transmitted in these networks are paramount concerns, and robust security measures must be implemented to protect against unauthorized access, hacking, and data breaches.

To address these challenges, researchers and industry experts are exploring a wide range of potential methods and technologies. One approach is the use of public transportation vehicles, such as buses or trains, as mobile sinks to collect sensory data from sensor nodes. By leveraging the existing infrastructure of public transportation, these vehicles can be equipped with sensors and communication technologies to collect data and transmit it to a central hub or cloud server. This approach not only reduces the energy consumption of mobile robots or UAVs but also enhances the coverage and reliability of wireless sensor networks.

Another potential method is the integration of artificial intelligence (AI) and machine learning (ML) algorithms in wireless communication networks. By leveraging the power of AI and ML, networks can be optimized for energy efficiency, coverage, and performance. AI and ML algorithms can also be used to detect and mitigate security threats, ensuring the privacy and security of the data transmitted in these networks.

In conclusion, wireless communication networks supported by autonomous UAVs and mobile ground robots offer significant potential for enhancing communication capabilities and expanding network coverage. However, the development of these networks requires careful consideration of various challenges, including energy consumption, environmental conditions, security, and privacy. By exploring innovative methods and technologies, researchers and industry experts can overcome these challenges and pave the way for the widespread adoption of wireless communication networks in a wide range of applications.

Weight: 360g
Dimension: 153 x 228 x 19 (mm)
ISBN-13: 9780323901826