Computational Intelligence In Sensor Networks

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Computational Intelligence in Wireless Sensor Networks

Ajith Abraham,Rafael Falcon,Mario Koeppen
Computational Intelligence in Wireless Sensor Networks Book PDF

Author : Ajith Abraham,Rafael Falcon,Mario Koeppen
Publisher : Springer
Page : 210 pages
File Size : 47,7 Mb
Release : 2017-01-11
Category : Technology & Engineering
ISBN : 9783319477152

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Computational Intelligence in Wireless Sensor Networks by Ajith Abraham,Rafael Falcon,Mario Koeppen Pdf

This book emphasizes the increasingly important role that Computational Intelligence (CI) methods are playing in solving a myriad of entangled Wireless Sensor Networks (WSN) related problems. The book serves as a guide for surveying several state-of-the-art WSN scenarios in which CI approaches have been employed. The reader finds in this book how CI has contributed to solve a wide range of challenging problems, ranging from balancing the cost and accuracy of heterogeneous sensor deployments to recovering from real-time sensor failures to detecting attacks launched by malicious sensor nodes and enacting CI-based security schemes. Network managers, industry experts, academicians and practitioners alike (mostly in computer engineering, computer science or applied mathematics) benefit from th e spectrum of successful applications reported in this book. Senior undergraduate or graduate students may discover in this book some problems well suited for their own research endeavors.

Computational Intelligence in Sensor Networks

Bijan Bihari Mishra,Satchidanand Dehuri,Bijaya Ketan Panigrahi,Ajit Kumar Nayak,Bhabani Shankar Prasad Mishra,Himansu Das
Computational Intelligence in Sensor Networks Book PDF

Author : Bijan Bihari Mishra,Satchidanand Dehuri,Bijaya Ketan Panigrahi,Ajit Kumar Nayak,Bhabani Shankar Prasad Mishra,Himansu Das
Publisher : Springer
Page : 488 pages
File Size : 41,5 Mb
Release : 2018-05-22
Category : Technology & Engineering
ISBN : 9783662572771

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Computational Intelligence in Sensor Networks by Bijan Bihari Mishra,Satchidanand Dehuri,Bijaya Ketan Panigrahi,Ajit Kumar Nayak,Bhabani Shankar Prasad Mishra,Himansu Das Pdf

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.

Computational Intelligence for Wireless Sensor Networks

Sandip Kumar Chaurasiya,Joydeep Dutta,Arindam Biswas,Gorachand Dutta,Mrinal Kanti Sarkar
Computational Intelligence for Wireless Sensor Networks Book PDF

Author : Sandip Kumar Chaurasiya,Joydeep Dutta,Arindam Biswas,Gorachand Dutta,Mrinal Kanti Sarkar
Publisher : CRC Press
Page : 282 pages
File Size : 50,8 Mb
Release : 2022-07-25
Category : Computers
ISBN : 9781000594218

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Computational Intelligence for Wireless Sensor Networks by Sandip Kumar Chaurasiya,Joydeep Dutta,Arindam Biswas,Gorachand Dutta,Mrinal Kanti Sarkar Pdf

Computational Intelligence for Wireless Sensor Networks: Principles and Applications provides an integrative overview of the computational intelligence (CI) in wireless sensor networks and enabled technologies. It aims to demonstrate how the paradigm of computational intelligence can benefit Wireless Sensor Networks (WSNs) and sensor-enabled technologies to overcome their existing issues. This book provides extensive coverage of the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations. It also describes various CI strategies such as fuzzy computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm intelligence, teaching learning-based optimization, etc. It also discusses applying the techniques mentioned above in wireless sensor networks and sensor-enabled technologies to improve their design. The book offers comprehensive coverage of related topics, including: Emergence of intelligence in wireless sensor networks Taxonomy of computational intelligence Detailed discussion of various metaheuristic techniques Development of intelligent MAC protocols Development of intelligent routing protocols Security management in WSNs This book mainly addresses the challenges pertaining to the development of intelligent network systems via computational intelligence. It provides insights into how intelligence has been pursued and can be further integrated in the development of sensor-enabled applications.

Wireless Sensor Network Technologies for the Information Explosion Era

Takahiro Hara,Vladimir I. Zadorozhny,Erik Buchmann
Wireless Sensor Network Technologies for the Information Explosion Era Book PDF

Author : Takahiro Hara,Vladimir I. Zadorozhny,Erik Buchmann
Publisher : Springer Science & Business Media
Page : 275 pages
File Size : 43,7 Mb
Release : 2010-06-23
Category : Mathematics
ISBN : 9783642139642

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Wireless Sensor Network Technologies for the Information Explosion Era by Takahiro Hara,Vladimir I. Zadorozhny,Erik Buchmann Pdf

Wireless Sensor Network Technologies for Information Explosion Era The amount and value of information available due to rapid spread of information technology is exploding. Typically, large enterprises have approximately a petabyte of operational data stored in hundreds of data repositories supporting thousands of applications. Data storage volumes grow in excess of 50% annually. This growth is expected to continue due to vast proliferation of existing infor- tion systems and the introduction of new data sources. Wireless Sensor Networks (WSNs) represent one of the most notable examples of such new data sources. In recent few years, various types of WSNs have been deployed and the amount of information generated by wireless sensors increases rapidly. The information - plosion requires establishing novel data processing and communication techniques for WSNs. This volume aims to cover both theoretical and practical aspects - lated to this challenge, and it explores directions for future research to enable ef- cient utilization of WSNs in the information-explosion era. The book is organized in three main parts that consider (1) technical issues of WSNs, (2) the integration of multiple WSNs, and (3) the development of WSNs systems and testbeds for conducting practical experiments. Each part consists of three chapters.

Smart Sensor Networks

Umang Singh,Ajith Abraham,Arturas Kaklauskas,Tzung-Pei Hong
Smart Sensor Networks Book PDF

Author : Umang Singh,Ajith Abraham,Arturas Kaklauskas,Tzung-Pei Hong
Publisher : Springer Nature
Page : 233 pages
File Size : 51,6 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9783030772147

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Smart Sensor Networks by Umang Singh,Ajith Abraham,Arturas Kaklauskas,Tzung-Pei Hong Pdf

This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.

A Computational Intelligence Approach to Wireless Sensor Networks

Raghavendra Kulkarni,Ganesh Kumar Venayagamoorthy
A Computational Intelligence Approach to Wireless Sensor Networks Book PDF

Author : Raghavendra Kulkarni,Ganesh Kumar Venayagamoorthy
Publisher : Wiley-IEEE Press
Page : 320 pages
File Size : 47,6 Mb
Release : 2015-05-04
Category : Technology & Engineering
ISBN : 1118002350

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A Computational Intelligence Approach to Wireless Sensor Networks by Raghavendra Kulkarni,Ganesh Kumar Venayagamoorthy Pdf

This book briefly introduces major paradigms of CI, provides a detailed discussion on problems in WSNs and extensively surveys existing CI applications to various problems in WSNs from various research areas and publication venues. Advantages and disadvantages of CI algorithms over traditional WSN solutions will be discussed. A general evaluation of CI algorithms will be given, which will serve as a guide for using CI algorithms in WSNs.

Artificial Intelligence Techniques in IoT Sensor Networks

Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset
Artificial Intelligence Techniques in IoT Sensor Networks Book PDF

Author : Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset
Publisher : CRC Press
Page : 221 pages
File Size : 44,8 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9781000318708

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Artificial Intelligence Techniques in IoT Sensor Networks by Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset Pdf

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master’s students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.

Intelligent Sensor Networks

Fei Hu,Qi Hao
Intelligent Sensor Networks Book PDF

Author : Fei Hu,Qi Hao
Publisher : CRC Press
Page : 674 pages
File Size : 45,8 Mb
Release : 2012-12-15
Category : Computers
ISBN : 9781439892824

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Intelligent Sensor Networks by Fei Hu,Qi Hao Pdf

In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts.

Advanced Methods and Applications in Computational Intelligence

Ryszard Klempous,Jan Nikodem,Witold Jacak,Zenon Chaczko
Advanced Methods and Applications in Computational Intelligence Book PDF

Author : Ryszard Klempous,Jan Nikodem,Witold Jacak,Zenon Chaczko
Publisher : Springer Science & Business Media
Page : 408 pages
File Size : 40,9 Mb
Release : 2013-07-20
Category : Technology & Engineering
ISBN : 9783319014364

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Advanced Methods and Applications in Computational Intelligence by Ryszard Klempous,Jan Nikodem,Witold Jacak,Zenon Chaczko Pdf

This book offers an excellent presentation of intelligent engineering and informatics foundations for researchers in this field as well as many examples with industrial application. It contains extended versions of selected papers presented at the inaugural ACASE 2012 Conference dedicated to the Applications of Systems Engineering. This conference was held from the 6th to the 8th of February 2012, at the University of Technology, Sydney, Australia, organized by the University of Technology, Sydney (Australia), Wroclaw University of Technology (Poland) and the University of Applied Sciences in Hagenberg (Austria). The book is organized into three main parts. Part I contains papers devoted to the heuristic approaches that are applicable in situations where the problem cannot be solved by exact methods, due to various characteristics or dimensionality problems. Part II covers essential issues of the network management, presents intelligent models of the next generation of networks and distributed systems as well as discusses applications of modern numerical methods in large intractable systems. Part III covers salient issues of complexity in intelligent system applications. This part also contains papers and articles which discuss concurrency issues that arise when multiple systems attempt to use the same radio space and the inter-connected system applications in the field of medical simulation and training.

Smart Anomaly Detection for Sensor Systems

Antonio Liotta,Hedde Bosman,Giovanni Iacca
Smart Anomaly Detection for Sensor Systems Book PDF

Author : Antonio Liotta,Hedde Bosman,Giovanni Iacca
Publisher : Springer
Page : 0 pages
File Size : 41,7 Mb
Release : 2014-08-12
Category : Technology & Engineering
ISBN : 3319001639

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Smart Anomaly Detection for Sensor Systems by Antonio Liotta,Hedde Bosman,Giovanni Iacca Pdf

Like in the ecosystems of Nature, raw sensing is of little use unless we are also able to form higher-level interpretations of the collected data. How can we assess whether the sensed data is accurate? How can we tell whether a peculiar set of data arises from genuine conditions or is due to a faulty set of sensors? What is the normal operating condition of a digital sensor system? When is a deviation from normality to be interpreted as anomaly? This book explores the emerging area of sensor systems and applications from the particular perspective of anomaly detection. It gives the reader a head start on methods applicable to embedded sensor systems, showing the benefits of a range of computational approaches. After pinpointing the limitations of ‘deterministic’ anomaly detection, it becomes clear why the more promising approaches are those based on computational intelligence. The reader of this book will gain an in-depth understanding of anomaly detection in complex and unpredictable sensor systems, familiarizing with the most suitable machine learning techniques.

Cyber-Enabled Intelligence

Huansheng Ning,Liming Chen,Ata Ullah,Xiong Luo
Cyber Enabled Intelligence Book PDF

Author : Huansheng Ning,Liming Chen,Ata Ullah,Xiong Luo
Publisher : Taylor & Francis
Page : 257 pages
File Size : 47,8 Mb
Release : 2019-08-08
Category : Computers
ISBN : 9780429589737

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Cyber-Enabled Intelligence by Huansheng Ning,Liming Chen,Ata Ullah,Xiong Luo Pdf

The book provides an advanced vision and trends of computational intelligence in cyberspace and cyber-enabled spaces. It reviews architectures and models, as well as state-of-the-art computational and interpretation capabilities for social, industrial, and multimedia applications. Cyber-enabled intelligence involves the design and development of intelligent and innovative application scenarios in social networks, computer vision, multimedia, and image processing. Application scenarios can also cover the applicability of intelligent sensing, data collection and predictive analysis in Internet of Things.

Advances in Computational Intelligence

Sudip Kumar Sahana,Vandana Bhattacharjee
Advances in Computational Intelligence Book PDF

Author : Sudip Kumar Sahana,Vandana Bhattacharjee
Publisher : Springer
Page : 368 pages
File Size : 47,8 Mb
Release : 2019-07-10
Category : Technology & Engineering
ISBN : 9789811382222

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Advances in Computational Intelligence by Sudip Kumar Sahana,Vandana Bhattacharjee Pdf

This book presents the proceedings of the International Conference on Computational Intelligence 2018 (ICCI 2018). It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human–machine interaction, computational intelligence for web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross-disciplinary topics and applications.

Challenges and Opportunities of Connected k-Covered Wireless Sensor Networks

Habib M. Ammari
Challenges and Opportunities of Connected k Covered Wireless Sensor Networks Book PDF

Author : Habib M. Ammari
Publisher : Springer
Page : 0 pages
File Size : 55,5 Mb
Release : 2012-03-14
Category : Mathematics
ISBN : 364226929X

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Challenges and Opportunities of Connected k-Covered Wireless Sensor Networks by Habib M. Ammari Pdf

“The decomposition of the difficulties to be resolved, or the objects to be known, should be pushed up to the simplest elements ... Such elements are seized directly and completely by the intuition. ” René Descartes, Discours de la méthode (1637) Wireless sensor networks have received significant attention because of their - portant role and many conveniences in our lives. Indeed, the recent and fast - vances in inexpensive sensor technology and wireless communications have made the design and development of large-scale wireless sensor networks cost-effective and appealing to a wide range of mission-critical situations, including civilian, natural, industrial, and military applications, such as health and environmental monitoring, seism monitoring, industrial process automation, and battlefields s- veillance, respectively. A wireless sensor network consists of a large number of - ny, low-powered devices, called sensors, which are randomly or deterministically deployed in a field of interest while collaborating and coordinating for the successful accomplishment of their mission. These sensors suffer from very scarce resources and capabilities, such as bandwidth, storage, CPU, battery power (or - ergy), sensing, and communication, to name a few, with energy being the most critical one. The major challenge in the design process of this type of network is mainly due to the limited capabilities of the sensors, and particularly, their energy, which makes them unreliable.

Proceedings of the Third International Conference on Computational Intelligence and Informatics

K. Srujan Raju,A. Govardhan,B. Padmaja Rani,R. Sridevi,M. Ramakrishna Murty
Proceedings of the Third International Conference on Computational Intelligence and Informatics Book PDF

Author : K. Srujan Raju,A. Govardhan,B. Padmaja Rani,R. Sridevi,M. Ramakrishna Murty
Publisher : Springer Nature
Page : 881 pages
File Size : 49,6 Mb
Release : 2020-03-17
Category : Technology & Engineering
ISBN : 9789811514807

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Proceedings of the Third International Conference on Computational Intelligence and Informatics by K. Srujan Raju,A. Govardhan,B. Padmaja Rani,R. Sridevi,M. Ramakrishna Murty Pdf

This book features high-quality papers presented at the International Conference on Computational Intelligence and Informatics (ICCII 2018), which was held on 28–29 December 2018 at the Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India. The papers focus on topics such as data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing and Internet of things.

Internet of Things and Sensor Network for COVID-19

Siba Kumar Udgata,Nagender Kumar Suryadevara
Internet of Things and Sensor Network for COVID 19 Book PDF

Author : Siba Kumar Udgata,Nagender Kumar Suryadevara
Publisher : Springer Nature
Page : 101 pages
File Size : 47,7 Mb
Release : 2020-07-22
Category : Technology & Engineering
ISBN : 9789811576546

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Internet of Things and Sensor Network for COVID-19 by Siba Kumar Udgata,Nagender Kumar Suryadevara Pdf

This book examines various models/solutions in areas, such as individuals, home, work and society, where IoT and AI are being utilized to mitigate the Covid-19 pandemic. The world is battling with the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to help people to face the challenges. During this crisis, numerous innovative ideas and solutions have been proposed for using the Internet of things (IoT), sensor networks, and artificial intelligence (AI) to monitor the wellbeing of individuals. Nations are using all available assets to help develop cutting-edge innovations to relieve the impacts of Covid-19 and profile individuals in danger. The advances in IoT frameworks and sensor technologies together with AI are invaluable in the context of this pandemic, and nations and various entities around the globe are discovering innovative solutions to maintain businesses and help people live alongside Covid-19. This book presents the advances in sensor technologies, IoT frameworks, and explores how these technologies are being used to deal with the issues arising from Covid-19, including work in progress and potential applications.