Download or read book Artificial Intelligence Based Energy Aware Routing Protocol AIEARP for Wireless Sensor Network written by Dr. Pooja Singh and published by Shineeks Publishers. This book was released on 2022-11-16 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current progress in Wireless Sensor Network has taken to various new protocols formed especially for sensor networks in where the energy awareness is a necessary deliberation. Wireless Sensor Network is highly accessible for significant applications namely surveillance of security and environmental monitoring. The researchers all over the world are investigating about the most important parameter of wireless sensor network i.e. Energy. The main emphasis is given over the efficiency of energy as the energy saved by the wireless sensor network is less and the consumption of energy is high and this is the main reason behind the lifetime network depletion at a fast pace. There in the sensor nodes one more challenge is exhibited that is of the limited power capacity, so for the same the battery should be either charged or changed as there are several functions which are to be performed by the energy of the sensor nodes being aggregation, sensing and transmission of data and on board processing. Majorly, the energy is consumed by the wireless data transmission among the nodes and more energy is consumed as compared to the other sensing and processing operations of data. The high energy is consumed because the data is transmitted over a large distance as the nodes are located far from each other. Further, the collision, overhearing and idle listening of the nodes are the major reasons behind the high wastage of energy during the transmission and the communication of data. There are several applications, in which the nodes are disregarded, and thus worsening the failure of nodes and enhancing the problem of high energy consumption. The success of the application is dependent over the network lifetime and the exchange or the recharging of the batteries is costly as well as not feasible. Therefore, the attention of the researchers is seeking towards usage and the consumption of the energy. Further, the development of such energy efficient network should be done which should cover and provide solution for all the above mentioned challenges so that the utility of the wireless sensor networks is enhanced in the applications related to it. The main intention of this study and book is to investigate in detail about the concept “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Significance of the Book: This book convers and discusses about previous studies carried out in the area of data fusion and the crucial issue in energy reduction of the sensor modes during the data fusion. The main objectives of this book a) To analyze the energy aware routing protocol in wireless sensor network; b) To examine the maximum energy consumption for routing process to sustain long life batter power in wireless sensor network.; c) To analyze the routing protocol enhancement by applying data fusion technique; d)To explore the routing protocol enhancement by applying data fusion technique; e)To propose an algorithm to integrate data fusion technique to enhance the consumption of energy. This book study is constrained to wireless sensor networks and limited to data fusion technique. However, this book study evaluates the concept of “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Finally, this book considers a novel network organization scheme, energy-efficient Self organizing Map (K-SOM) Feed forward scheme, to organize sensor nodes into clusters with Data-Fusion. Also, it proposes a Energy aware routing algorithm, called “Artificial Intelligence Based Energy Aware Routing Protocol (AIEARP) for Wireless Sensor Network, for elevating sensor network lifetime. This book also shows the Experimental results for out-performs interims of network lifetime with dead nodes at different iteration and energy conservation with its energy consumption among the cluster heads. The following is an overview of the contents of the chapter, which presented in this Book. Chapter 1: Introduction of the EARP in WSN This chapter provides the vital idea about the research concept “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks” including the research background, problem statement, aims and objectives of the study, research questions, significance of the study and limitations of the research. Chapter 2: Literature Review This chapter examines several works related to the conceptual framework model for “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. In addition to these, this research explains in detail about the energy aware routing protocol in wireless sensor network. Apart from these, this research explains about the maximum energy consumption for routing process to sustain long life batter power in wireless sensor network. At last, this literature review chapter discusses about the routing protocol enhancement by applying data fusion technique and the routing protocol enhancement by applying data fusion technique. In addition to these, this research provides framework for “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Chapter 3: Research design This chapter provides an overview about the intelligent energy aware routing protocol using data fusion technique in wireless sensor networks. This chapter explains about the steps to be followed in the developed method. Chapter 4: Result analysis in term of intelligent energy aware protocol This chapter discusses about the analysis of implementation of proposed framework “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Chapter 5: Conclusion & Future enhancement This chapter explains about the summary of findings obtained through the analysis and results section and also gives conclusion to the research “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks” followed by suggestions and recommendations for the future research. Bibliography: This section lists all works of interest, including those mentioned in the text.

Download or read book Wireless Sensor Networks written by Elena Gaura and published by Springer Science & Business Media. This book was released on 2010-09-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twentieth century ended with the vision of smart dust: a network of wirelessly connected devices whose size would match that of a dust particle, each one a se- containedpackageequippedwithsensing,computation,communication,andpower. Smart dust held the promise to bridge the physical and digital worlds in the most unobtrusive manner, blending together realms that were previously considered well separated. Applications involved scattering hundreds, or even thousands, of smart dust devices to monitor various environmental quantities in scenarios ranging from habitat monitoring to disaster management. The devices were envisioned to se- organize to accomplish their task in the most ef?cient way. As such, smart dust would become a powerful tool, assisting the daily activities of scientists and en- neers in a wide range of disparate disciplines. Wireless sensor networks (WSNs), as we know them today, are the most no- worthy attempt at implementing the smart dust vision. In the last decade, this ?eld has seen a fast-growing investment from both academia and industry. Signi?cant ?nancial resources and manpower have gone into making the smart dust vision a reality through WSNs. Yet, we still cannot claim complete success. At present, only specialist computerscientists or computerengineershave the necessary background to walk the road from conception to a ?nal, deployed, and running WSN system.

Download or read book Research Anthology on Architectures Frameworks and Integration Strategies for Distributed and Cloud Computing written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-01-25 with total page 2700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.

Download or read book Intelligent Sensor Networks written by Fei Hu and published by CRC Press. This book was released on 2012-12-15 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.

Download or read book Artificial Intelligence and Evolutionary Computations in Engineering Systems written by Subhransu Sekhar Dash and published by Springer Nature. This book was released on 2020-02-08 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

Download or read book Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing written by Roger Lee and published by Springer. This book was released on 2018-09-03 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents the scientific outcomes of the 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2018), which was held in Busan, Korea on June 27–29, 2018. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The book includes research findings on all aspects (theory, applications and tools) of computer and information science and discusses the practical challenges encountered along the way and the solutions adopted to respond to them. The book includes 13 of the conference’s most promising papers.

Download or read book Engineering Applications of Neural Networks written by Valeri Mladenov and published by Springer. This book was released on 2014-08-15 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 15th International Conference on Engineering Applications of Neural Networks, EANN 2014, held in Sofia, Bulgaria, in September 2014. The 18 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions. The papers demonstrate a variety of applications of neural networks and other computational intelligence approaches to challenging problems relevant to society and the economy. These include areas such as: environmental engineering, facial expression recognition, classification with parallelization algorithms, control of autonomous unmanned aerial vehicles, intelligent transport, flood forecasting, classification of medical images, renewable energy systems, intrusion detection, fault classification and general engineering.

Download or read book Algorithmic Aspects of Wireless Sensor Networks written by Sotiris Nikoletseas and published by Springer. This book was released on 2007-01-26 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the reviewed proceedings of the Second International Workshop on Algorithmic Aspects of Wireless Sensor Networks, ALGOSENSORS 2006, held in Venice, Italy in July 2006, in association with ICALP 2006. Topics addressed are foundational and algorithmic aspects of the wireless sensor networks research. In particular, ALGOSENSORS focuses on abstract models, complexity-theoretic results and lower-bounds.

Download or read book Distributed Detection and Data Fusion written by Pramod K. Varshney and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introductory treatment of the fundamentals of decision-making in a distributed framework. Classical detection theory assumes that complete observations are available at a central processor for decision-making. More recently, many applications have been identified in which observations are processed in a distributed manner and decisions are made at the distributed processors, or processed data (compressed observations) are conveyed to a fusion center that makes the global decision. Conventional detection theory has been extended so that it can deal with such distributed detection problems. A unified treatment of recent advances in this new branch of statistical decision theory is presented. Distributed detection under different formulations and for a variety of detection network topologies is discussed. This material is not available in any other book and has appeared relatively recently in technical journals. The level of presentation is such that the hook can be used as a graduate-level textbook. Numerous examples are presented throughout the book. It is assumed that the reader has been exposed to detection theory. The book will also serve as a useful reference for practicing engineers and researchers. I have actively pursued research on distributed detection and data fusion over the last decade, which ultimately interested me in writing this book. Many individuals have played a key role in the completion of this book.

Download or read book Deep Neural Networks for Multimodal Imaging and Biomedical Applications written by Suresh, Annamalai and published by IGI Global. This book was released on 2020-06-26 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.

Download or read book Applications and Developments in Grid Cloud and High Performance Computing written by Udoh, Emmanuel and published by IGI Global. This book was released on 2012-09-30 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides insight into the current trends and emerging issues by investigating grid and cloud evolution, workflow management, and the impact new computing systems have on the education fields as well as the industries"--Provided by publisher.

Download or read book Machine Learning and Big Data Analytics written by Rajiv Misra and published by Springer Nature. This book was released on 2023-06-06 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.

Download or read book Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks written by Sagayam, K. Martin and published by IGI Global. This book was released on 2020-06-12 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.

Download or read book Intelligent Systems and Applications written by Yaxin Bi and published by Springer. This book was released on 2017-12-30 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses a wide range of topics in areas of intelligent systems and artificial intelligence and their real-world applications. The 22 chapters have been selected from the 168 papers published in the proceedings of the SAI Intelligent Systems Conference 2016 (IntelliSys 2016), which received highly positive feedback in peer reviews. The IntelliSys 2016 conference was held in London on 21–22 September 2016. This fascinating book offers readers state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of future research.

Download or read book Advances in Parallel Computing Technologies and Applications written by D.J. Hemanth and published by IOS Press. This book was released on 2021-11-25 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in parallel computing mean that the use of machine learning techniques and intelligence to handle the huge volume of available data have brought the faster solutions offered by advanced technologies to various fields of application. This book presents the proceedings of the Virtual International Conference on Advances in Parallel Computing Technologies and Applications (ICAPTA 2021), hosted in Justice Basheer Ahmed Sayeed College for women (formerly "S.I.E.T Women's College"), Chennai, India, and held online as a virtual event on 15 and 16 April 2021. The aim of the conference was to provide a forum for sharing knowledge in various aspects of parallel computing in communications systems and networking, including cloud and virtualization solutions, management technologies, and vertical application areas. It also provided a platform for scientists, researchers, practitioners and academicians to present and discuss the most recent innovations and trends, as well as the concerns and practical challenges encountered in this field. Included here are 52 full length papers, selected from over 100 submissions based on the reviews and comments of subject experts. Topics covered include parallel computing in communication, machine learning intelligence for parallel computing and parallel computing for software services in theoretical and practical aspects. Providing an overview of the latest developments in the field, the book will be of interest to all those whose work involves the use of parallel computing technologies.

Download or read book Advances in Neural Networks ISNN 2011 written by Derong Liu and published by Springer. This book was released on 2011-05-20 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

Download or read book Modeling and Optimization of Parallel and Distributed Embedded Systems written by Arslan Munir and published by John Wiley & Sons. This book was released on 2016-02-08 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the state-of-the-art in research in parallel and distributed embedded systems, which have been enabled by developments in silicon technology, micro-electro-mechanical systems (MEMS), wireless communications, computer networking, and digital electronics. These systems have diverse applications in domains including military and defense, medical, automotive, and unmanned autonomous vehicles. The emphasis of the book is on the modeling and optimization of emerging parallel and distributed embedded systems in relation to the three key design metrics of performance, power and dependability. Key features: Includes an embedded wireless sensor networks case study to help illustrate the modeling and optimization of distributed embedded systems. Provides an analysis of multi-core/many-core based embedded systems to explain the modeling and optimization of parallel embedded systems. Features an application metrics estimation model; Markov modeling for fault tolerance and analysis; and queueing theoretic modeling for performance evaluation. Discusses optimization approaches for distributed wireless sensor networks; high-performance and energy-efficient techniques at the architecture, middleware and software levels for parallel multicore-based embedded systems; and dynamic optimization methodologies. Highlights research challenges and future research directions. The book is primarily aimed at researchers in embedded systems; however, it will also serve as an invaluable reference to senior undergraduate and graduate students with an interest in embedded systems research.