This exciting resource covers the fundamentals of wireless and PLC technologies. Different types of wireless and PLC technologies used for indoor IoT applications are described. The channel models for both wireless and power line communications are introduced, highlighting the main challenges for these types of communications inside the indoor environment. The book explores the hybrid technologies with television white space (TVWS), very high frequency (VHF) wireless technology, and broadband PLC (BPLC) for indoor high speed IoT networks. A TVWS standardized BPLC system is proposed, which integrates the requirement of primary user sensing and the permissible transmission power spectral density (PSD) for TVWS users into BPLC standard, regarding VHF band access. The hybrid ultra-high frequency (UHF) wireless-powerline sensor networks with a focus on enlarging the network lifetime via cross-layer optimization is presented. Hybrid video sensor networks (HVSNs) with high data rate requirement are explored. Through the joint design of video encoding rate, aggregate power consumption, channel access control, along with link rate allocation, a distributed algorithm is developed, which divides the computational burden among all nodes with much lower communication overhead. The effectiveness of the cross-layer designs are evaluated through extensive simulation results.

This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems. All papers were originally presented at the International KES Conference on Human Centred Intelligent Systems 2020 (KES HCIS 2020), held on June 17–19, 2020, in Split, Croatia.

This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can translate data into information, enabling the effectiveness and usefulness of new services offered by IoT stakeholders. The authors posit that if IoT is indeed the infrastructure of the future, data structure is the key that can lead to a significant improvement of human life. The book aims to present innovative IoT applications as well as ongoing research that exploit modern data science approaches. Readers are offered issues and challenges in a cross-disciplinary scenario that involves both IoT and data science fields. The book features contributions from academics, researchers, and professionals from both fields.

A rigorous description of the theory and practice of power-line communication, which identifies the key characteristics that impact on performance and security. Ideal for university researchers and professional engineers designing PLC or hybrid devices and networks.

This dissertation studies five topic which are focused on but not limited to the area of Home Area Networks (HANs) in Smart Grid communications: capacity optimization for IR-UWB (Chapter 2), power consumption and downlink outage probability in a dynamic HAN (Chapter 3), uplink multiuser selection in a dynamic HAN (Chapter 4), capacity optimization in Heterogeneous HANs (Chapter5), hybrid models of OFDM-based power line and wireless communications for HAN security (Chapter 6), and scaling laws of ergodic capacity for hybrid wireless networks with distributed base stations (DBS) (Chapter 7). We investigate the capacity optimization of Impulse Radio (IR) UWB user within the coexisting operating bandwidth with IEEE 802.11n user, while making sure that its cumulative interference to the coexisting IEEE 802.11n user is below a certain permissible threshold. The optimal power allocation scheme is presented by using water-filling algorithm with Karush-Kuhn-Tucher (KKT) conditions, which is also compared with a traditional equal power allocation scheme. Considering the power saving potential of the emerging WiFi Direct technique, we evaluate the performance of WiFi Direct technique in HANs for Smart Grid Communication from two aspects: power consumption and outage probability. By modeling the traffic intensity and the number of working devices in a dynamic HAN as a Markov chain, the power consumption of the dynamic HAN is evaluated. As to the outage performance, in the downlink of the HAN, the probability density function (PDF) of the signal to interference and noise ratio (SINR) for the active user is derived from the amplitude distribution property of the classical indoor Saleh-Valenzuela (SV) channel. This dissertation also considers the problem of how to optimize the downlink capacity in a heterogeneous HAN with beamforming technique at the smart meter for Smart Grid application. The PDF of the smallest allocated transmit power is mathematically obtained from the properties of downlink indoor S-V channels. It is analytically shown that the allocated transmit power has a lower limit which is determined by the SINR threshold as well as the total number of active users in the HAN. Traditionally, jamming to the wireless in-home system is a fatal threat for Smart Grid communications. To enhance HAN security for Smart Grid application, this dissertation incorporates the OFDM - based power line (PL) system into the HAN, and proposes two hybrid models of PL and wireless communications with transmit diversity and receive diversity, respectively. Finally, a hybrid wireless network with DBS is designed to improve the spectrum efficiency. It is analytically shown that compared to the traditional hybrid wireless network, the ergodic throughput capacity of hybrid wireless networks with DBS scales with gain with N x NBS.

This book features selected research papers presented at the Third International Conference on Computing, Communications, and Cyber-Security (IC4S 2021), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India, during October 30–31, 2021. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.