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Computational intelligence for wireless sensor networks : principles and applications / edited by Sandip Kumar Chaurasiya, Joydeep Dutta, Arindam Biswas, Gorachand Dutta, Mrinal Kanti Sarkar.

Contributor(s):

Chaurasiya, Sandip Kumar [editor.]

Material type:

TextPublisher: Boca Raton, FL : CRC Press, 2023Edition: First editionDescription: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781000594218
1000594211
9781003102397
1003102395

Subject(s):

Additional physical formats: Print version:: Computational intelligence for wireless sensor networksLOC classification:

TK7872.D48

Online resources:

EBSCOhost

Partial contents:

Wireless Sensor Network (WSN) Vis-a-Vis Internet of Things (IoT) : foundation and emergence / P. K. Paul -- Computational intelligence in wireless sensor & actuator networks : a thorough review / T. Santosh and Sandip K Chaurasiya -- Metaheuristic clustering in wireless sensor networks / Sandip K Chaurasiya, Suman Ghosh, and Rajib Banerje.

Summary: "Computational Intelligence in 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 and sensor-enabled technologies to overcome their issues. The book provides extensive coverage over the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations. The book 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 meet the inherent design challenges. The 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 further be pursued in the development of sensor-enabled applications"-- Provided by publisher.

Item type: List(s) this item appears in: Titluri cărți electronice EBSCO 2025 (340 titluri)

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Includes bibliographical references and index.

"Computational Intelligence in 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 and sensor-enabled technologies to overcome their issues. The book provides extensive coverage over the multiple design challenges of WSNs and associated technologies such as clustering, routing, media access, security, mobility, and design of energy-efficient network operations. The book 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 meet the inherent design challenges. The 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 further be pursued in the development of sensor-enabled applications"-- Provided by publisher.

EBSCOhost "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025.

Description based on print version record and CIP data provided by publisher.

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