Goudappel Coffeng

Collaboration and coordination among multi robots in industrial environments and unknown environment such as risk, disastrous area presents an exciting opportunity in manufacturing and production processes as well as emergency and rescue activities. Coordination and collaboration involves effective communication among robots and efficient task allocation and performance. In this paper, we have proposed architecture and developed algorithm for effective communication and task management. Through performance analysis, we showed the error and task completion time as a function of number of robots. We have also presented coordination overhead when number of robots is more. It is found that there is decrease in task completion time as number of robots increases, which is obvious however, the rate of decrease is lesser as the number of robots increases. It is also found that the coordination overhead increases so as the error; almost linearly with the number of robots. Thus, a trade-off between scaling up robots and managing the higher error rate must be maintained. The investigation is expected to be very useful in automation of production, logistic, agriculture and other industry.

The deployment of millimeter wave (mmWave) communication is critical for meeting high data rate and low latency requirements of beyond 5G (B5G), the next-generation wireless networks. This becomes more difficult in highly mobile and high traffic environment. This study investigates the radio coverage characteristics of mmWave frequencies in a specific urban 100-foot (30.48-meter) MG road scenario in Bengaluru city of India. Using simulation, we analyzed signal propagation, path loss at 28GHz bands under line-of-sight (LoS) situations. We optimized the antenna placement to provide and maintain high data rate user experience throughout the street. It is ensured that a minimum signal-to-noise ratio (SNR) of 19dB for 100MHz and 13dB for 400MHz is maintained throughout the street. Received signal strength indicator (RSSI) remained stable across both bandwidths ranging from -66dBm to -74dBm, confirming its independence from system bandwidth. This would allow sufficient data rate services to mobile users. The results highlight strong directional beamforming to enhance coverage in such unique environment. Our findings provide insights into optimal antenna placement and the feasibility of mmWave deployment for dense urban corridors. This work supports the planning and design of efficient 5G and beyond networks in short-range, high-capacity road environments.

In this chapter, you will learn about Spring Boot's support for the most common Java enterprise services: using Java Management Extensions (JMX), sending email with Jakarta Mail, and scheduling tasks.

In this chapter, we will take a look at the foundational features of Spring Boot.

When the Servlet API was initially released, the majority of the implementing containers used a thread per request, which meant a thread was blocked until the request processing had finished and the response was sent to the client. However, in those early days, there weren’t as many devices connected to the Internet as nowadays. Due to the increased number of devices, the number of HTTP requests handled has grown significantly. Due to this increase, for a lot of web applications, keeping a thread blocked isn’t feasible anymore. In the last couple of years, there has been an uprising in reactive programming, and with Spring it is possible to write reactive web applications. To be reactive Spring utilizes Project Reactor as an implementation of the Reactive Streams API. It goes beyond the scope of this book to do a full dive into reactive programming, but in short it is a way of doing non-blocking functional programming.

In this chapter, you will learn about basic techniques you can use to test Java applications and the testing support features offered by the Spring Framework. These features can make your testing tasks easier and lead you to better application design. In general, applications developed with the Spring Framework and the dependency injection pattern are easy to test.

In this chapter, you will learn about Spring’s support for the most common Java enterprise services: Java Management Extensions (JMX), sending email with Jakarta Mail, and scheduling tasks with and without Quartz. In addition, you’ll learn about Spring’s support for SOAP web services.

Most applications use a relational database like Oracle, MySQL, or PostgreSQL; however, there is more to data storage than just SQL databases. There are

MVC is an important module of the Spring Framework. It builds on the powerful Spring IoC container and makes extensive use of the container features to simplify its configuration.