Energy Efficient Data Communication For Resource Constrained Systems
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| Author | : S. A. Ahsan Rajon |
| Publisher | : S. A. AHSAN RAJON |
| Total Pages | : 86 |
| Release | : 2014-04-01 |
| Genre | : Computers |
| ISBN | : 3659242462 |
This book reports the M.Sc.Engineeing Research (Thesis) carried out by the author- S. A. AHSAN RAJON and supervised by Prof. Dr. Md. Mahbubur Rahman in Computer Science and Engineering Discipline, Khulna University, Bangladesh. Energy efficient data communication is an elementary concern for ubiquitous computing. This book outlines an enhanced power-aware data communication scheme for wireless sensor networks. An extensive analysis of recent researches on data routing and data compression for wireless sensor network has also been presented in this book. This book mainly focuses on improved scheme for compression based data routing which achieves energy efficiency by employing cluster coordinators for balancing energy consumption by assigning the inter cluster communications to the cluster heads and the intra cluster communications to cluster coordinators along with the use of component ranking scheme and value pair based compression. Comprehensive mathematical models analyzing the multidimensional issues including energy efficiency, quality of service, data routing and data compression has also been incorporated in this book.ÿ ÿ
| Author | : Numan M. Durakbasa |
| Publisher | : Springer Nature |
| Total Pages | : 847 |
| Release | : |
| Genre | : |
| ISBN | : 3031539915 |
| Author | : Tho Le-Ngoc |
| Publisher | : Springer |
| Total Pages | : 124 |
| Release | : 2017-05-10 |
| Genre | : Technology & Engineering |
| ISBN | : 3319576933 |
This SpringerBrief presents radio resource allocation schemes for buffer-aided communications systems over fading channels under statistical delay constraints in terms of upper-bounded average delay or delay-outage probability. This Brief starts by considering a source-destination communications link with data arriving at the source transmission buffer. The first scenario, the joint optimal data admission control and power allocation problem for throughput maximization is considered, where the source is assumed to have a maximum power and an average delay constraints. The second scenario, optimal power allocation problems for energy harvesting (EH) communications systems under average delay or delay-outage constraints are explored, where the EH source harvests random amounts of energy from renewable energy sources, and stores the harvested energy in a battery during data transmission. Online resource allocation algorithms are developed when the statistical knowledge of the random channel fading, data arrivals, EH processes governing the system dynamics is unknown a-priori. This Brief continues with a source-relay-destination communications link with buffers available at both source and relay, as part of a multi-hop network. Optimal resource allocation schemes for this 3-node relaying system to maximize its effective capacity under a delay-outage constraint are proposed, with special emphasis on relay roles: Half-duplex (HD) or full-duplex (FD) relay operation. With HD relay, the adaptive link selection relaying problem jointly with both fixed and adaptive power allocation schemes is investigated. Within each transmission frame, either the source-relay link or the relay-destination link is selected to be active depending on the channel conditions. With FD relay under the presence of non-zero residual self-interference (SI). This Brief also presents source and relay power allocation schemes for both cases of available knowledge of the channel state information at transmitter (CSIT): instantaneous or statistical. Professional and researchers working in this related field and advanced-level students in electrical or computer engineering will find the content valuable as a reference.
| Author | : Tanupriya Choudhury |
| Publisher | : Springer Nature |
| Total Pages | : 314 |
| Release | : 2021-06-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3030656918 |
This book focuses on the fundamentals of blockchain technology along with the means and methods of its integration with Internet of Things (IoT). The book allows the reader to have a deeper understanding of blockchain technology, IoT and various application areas wherein both technologies can be implemented. The book serves the purpose of providing knowledge about the fundamentals of blockchain and IoT to a common reader along with allowing a research scholar to identify some futuristic problem areas that emerge from the convergence of both technologies. Furthermore, the authors discuss relevant application areas such as smart city, e-healthcare, smart travel, etc. throughout the course of the book. The book also talks through a few case studies illustrating the implementation and benefits of using blockchain and IoT. Provides a comprehensive view of blockchain technology and its integration with IoT; Facilitates in having a valuable understanding of various application areas pertaining to blockchain and IoT; Assists the reader in exploring new research areas wherein blockchain and IoT can find their applicability based upon their list of benefits.
| Author | : Ponnusamy, Sivaram |
| Publisher | : IGI Global |
| Total Pages | : 437 |
| Release | : 2024-05-16 |
| Genre | : Computers |
| ISBN | : |
As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landscape, Generative Adversarial Networks (GANs) emerge as a groundbreaking solution, transcending their initial role as image generators to become indispensable guardians of data security. Within the pages of Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs), readers are guided through the intricate world of GANs, unraveling their unique design and dynamic adversarial training. The book presents GANs not merely as a technical marvel but as a strategic asset for organizations, offering a comprehensive solution to fortify cybersecurity, protect data privacy, and mitigate the risks associated with evolving cyber threats. It navigates the ethical considerations surrounding GANs, emphasizing the delicate balance between technological advancement and responsible use.
| Author | : Muhammad Ali Jamshed |
| Publisher | : Springer Nature |
| Total Pages | : 182 |
| Release | : |
| Genre | : |
| ISBN | : 3031637054 |
| Author | : Liansheng Tan |
| Publisher | : CRC Press |
| Total Pages | : 503 |
| Release | : 2017-08-15 |
| Genre | : Technology & Engineering |
| ISBN | : 1498769454 |
This book provides a comprehensive introduction to the underlying theory, design techniques and analytical results of wireless communication networks, focusing on the core principles of wireless network design. It elaborates the network utility maximization (NUM) theory with applications in resource allocation of wireless networks, with a central aim of design and the QoS guarantee. It presents and discusses state-of-the-art developments in resource allocation and performance optimization in wireless communication networks. It provides an overview of the general background including the basic wireless communication networks and the relevant protocols, architectures, methods and algorithms.
| Author | : Ashok Kumar, L. |
| Publisher | : IGI Global |
| Total Pages | : 478 |
| Release | : 2024-05-01 |
| Genre | : Computers |
| ISBN | : |
In the environment of energy systems, the effective utilization of both conventional and renewable sources poses a major challenge. The integration of microgrid systems, crucial for harnessing energy from distributed sources, demands intricate solutions due to the inherent intermittency of these sources. Academic scholars engaged in power system research find themselves at the forefront of addressing issues such as energy source estimation, coordination in dynamic environments, and the effective utilization of artificial intelligence (AI) techniques. Intelligent Solutions for Sustainable Power Grids focuses on emerging research areas, this book addresses the uncertainty of renewable energy sources, employs state-of-the-art forecasting techniques, and explores the application of AI techniques for enhanced power system operations. From economic aspects to the digitalization of power systems, the book provides a holistic approach. Tailored for undergraduate and postgraduate students as well as seasoned researchers, it offers a roadmap to navigate the intricate landscape of modern power systems. Dive into a wealth of knowledge encompassing smart energy systems, renewable energy integration, stability analysis of microgrids, power quality enhancement, and much more. This book is not just a guide; it is the solution to the pressing challenges in the dynamic field of energy systems.
| Author | : Albert Y. Zomaya |
| Publisher | : John Wiley & Sons |
| Total Pages | : 605 |
| Release | : 2012-07-26 |
| Genre | : Computers |
| ISBN | : 1118342003 |
The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns. Electricity consumption in the US doubled from 2000 to 2005. From a financial and environmental standpoint, reducing the consumption of electricity is important, yet these reforms must not lead to performance degradation of the computing systems. These contradicting constraints create a suite of complex problems that need to be resolved in order to lead to 'greener' distributed computing systems. This book brings together a group of outstanding researchers that investigate the different facets of green and energy efficient distributed computing. Key features: One of the first books of its kind Features latest research findings on emerging topics by well-known scientists Valuable research for grad students, postdocs, and researchers Research will greatly feed into other technologies and application domains
| Author | : Chhabi Rani Panigrahi |
| Publisher | : CRC Press |
| Total Pages | : 200 |
| Release | : 2024-07-31 |
| Genre | : Computers |
| ISBN | : 1040048366 |
An unfortunate outcome of the growth of the Internet and mobile technologies has been the challenge of countering cybercrime. This book introduces and explains the latest trends and techniques of edge artificial intelligence (EdgeAI) intended to help cyber security experts design robust cyber defense systems (CDS), including host-based and network-based intrusion detection system and digital forensic intelligence. This book discusses the direct confluence of EdgeAI with big data, as well as demonstrating detailed reviews of recent cyber threats and their countermeasure. It provides computational intelligence techniques and automated reasoning models capable of fast training and timely data processing of cyber security big data, in addition to other basic information related to network security. In addition, it provides a brief overview of modern cyber security threats and outlines the advantages of using EdgeAI to counter these threats, as well as exploring various cyber defense mechanisms (CDM) based on detection type and approaches. Specific challenging areas pertaining to cyber defense through EdgeAI, such as improving digital forensic intelligence, proactive and adaptive defense of network infrastructure, and bio-inspired CDM, are also discussed. This book is intended as a reference for academics and students in the field of network and cybersecurity, particularly on the topics of intrusion detection systems, smart grid, EdgeAI, and bio-inspired cyber defense principles. The front-line EdgeAI techniques discussed will also be of use to cybersecurity engineers in their work enhancing cyber defense systems.
