Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
Machine learning (ML) is a promising enabler for the fifth generation (5G) communication systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
… topics’ significance to the elaboration of wireless sensor networks (WSNs), concepts, and issues. This book focuses on the notions of WSNs, their applications, and their analysis tools; …
N Ahad, J Qadir, N Ahsan - Journal of network and computer applications, 2016 - Elsevier
… , the applications of NNs in wirelessnetworks are … wirelessnetworks ranging from wireless sensor networks (WSNs) to cognitive radio networks (CRNs) for a wide variety of applications …
… of theory and practice of wireless communication systems, networks, protocols, and stan… principles in wireless instrumentation and networks. Particular emphasis is given to the wireless …
SK Das, V Maheswari, A Sharma - Architectural Wireless Networks …, 2021 - Springer
… , and software defined network. The stated variations of the wirelessnetwork have become a major and important part of our life and real-life applications. The combination of all …
… listing of the various applications of GAs. We also highlight … application of GAs in wireless networking configurations such as wireless mesh networks (WMNs), mobile ad-hoc networks …
… A wirelessnetwork is defined in terms of standards and specifications that are developed by … This chapter describes the wirelessnetworks in terms of their common features. The main …
… architecture that allows the application of optical sensing and takes advantage of the mentioned benefits, in addition to harnessing the benefits of wirelessnetworks. This integrated …