Roman99
2019-10-01, 02:46 PM
Santosh Kumar Das, et al., "Design Frameworks for Wireless Networks"
English | ISBN: 978-981-13-9574-1 | 2020 | 433 pages | PDF | 14.1 MB
This book provides an overview of the current state of the art in wireless networks around the globe, focusing on utilizing the latest artificial intelligence and soft computing techniques to provide design frameworks for wireless networks. These techniques play a vital role in developing a more robust algorithm suitable for the dynamic and heterogeneous environment, making the network self-managed, self-operational, and self-configurational, and efficiently reducing uncertainties and imprecise information.
In the last few decades, the applications of wireless network increase rapidly due to several features over wired network such as frequent mobility, minimum cost, and dynamic and fast communication. These features avoid two constraints of wired network like installation and maintenance of numerous pieces of software and hardware. There are several variations of wireless network such as wireless sensor network (WSN), wireless body area network (WBAN), mobile ad hoc network (MANET), wireless ad hoc network (WANET), vehicular ad hoc network (VANET), software-defined network (SDN), and software-defined ad hoc network (SDANET). Each variation has some challenges in terms of certain factors such as cost, coverage, dependability, range, reliability, scalability, security, and speed. It causes several types of uncertainties and imprecise information. Hence, there is a need to design some novel or innovative ideas in the design frameworks of the above-mentioned wireless networks. Therefore, it has been assumed in larger awareness in academicians, researchers, computer professionals, industry people, and valued users.
https://turbobit.net/ds5un2u9saed.html
or
https://www.file-up.org/cecwerwjpfw9
English | ISBN: 978-981-13-9574-1 | 2020 | 433 pages | PDF | 14.1 MB
This book provides an overview of the current state of the art in wireless networks around the globe, focusing on utilizing the latest artificial intelligence and soft computing techniques to provide design frameworks for wireless networks. These techniques play a vital role in developing a more robust algorithm suitable for the dynamic and heterogeneous environment, making the network self-managed, self-operational, and self-configurational, and efficiently reducing uncertainties and imprecise information.
In the last few decades, the applications of wireless network increase rapidly due to several features over wired network such as frequent mobility, minimum cost, and dynamic and fast communication. These features avoid two constraints of wired network like installation and maintenance of numerous pieces of software and hardware. There are several variations of wireless network such as wireless sensor network (WSN), wireless body area network (WBAN), mobile ad hoc network (MANET), wireless ad hoc network (WANET), vehicular ad hoc network (VANET), software-defined network (SDN), and software-defined ad hoc network (SDANET). Each variation has some challenges in terms of certain factors such as cost, coverage, dependability, range, reliability, scalability, security, and speed. It causes several types of uncertainties and imprecise information. Hence, there is a need to design some novel or innovative ideas in the design frameworks of the above-mentioned wireless networks. Therefore, it has been assumed in larger awareness in academicians, researchers, computer professionals, industry people, and valued users.
https://turbobit.net/ds5un2u9saed.html
or
https://www.file-up.org/cecwerwjpfw9