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001 9781003102397
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008 220706s2022 xx eo 000 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781003102397
_q(electronic bk.)
020 _a1003102395
_q(electronic bk.)
020 _a9781000594218
_q(electronic bk. : EPUB)
020 _a1000594211
_q(electronic bk. : EPUB)
020 _a9781000594164
_q(electronic bk. : PDF)
020 _a1000594165
_q(electronic bk. : PDF)
020 _z9780367608880
020 _z9780367608897
024 7 _a10.1201/9781003102397
_2doi
035 _a(OCoLC)1334607690
035 _a(OCoLC-P)1334607690
050 4 _aTK7872.D48
072 7 _aCOM
_x059000
_2bisacsh
072 7 _aCOM
_x043000
_2bisacsh
072 7 _aTEC
_x067000
_2bisacsh
072 7 _aUY
_2bicssc
082 0 4 _a006.2/5
_223/eng/20220124
245 0 0 _aComputational Intelligence for Wireless Sensor Networks :
_bPrinciples and Applications.
250 _aFirst edition.
264 1 _a[Place of publication not identified] :
_bChapman and Hall/CRC,
_c2022.
300 _a1 online resource (xii, 202 pages).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aChapter 1: Wireless Sensor Network (WSN) Vis-a-Vis Internet of Things (IoT): Foundation and Emergence. Chapter 2: Computational Intelligence in Wireless Sensorand Actuator Networks- A Thorough Review. Chapter 3: Metaheuristic Clustering in Wireless Sensor Networks. Chapter 4: Protocols Development Using Computational Intelligence in Wireless Sensor Networks. Chapter 5: Intelligent IoT for Precision Agriculture. Chapter 6: A Study of Blockchain Based Energy-Aware Intelligent Routing Protocols for Wireless Sensor Networks. Chapter 7: Intelligent Vehicular Ad-Hoc Networks and Their Pursuance in LTE Networks. Chapter 8: Intelligent Routing in Vehicular Ad Hoc Networks. Chapter 9: WSN Security: Intrusion Detection Approaches Using Machine Learning. Chapter 10: Security in Communication for Intelligent Wireless Sensor Networks: Issues and Challenges.
520 _aComputational 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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aWireless sensor networks.
650 7 _aCOMPUTERS / Computer Engineering
_2bisacsh
650 7 _aCOMPUTERS / Networking / General
_2bisacsh
700 1 _aChaurasiya, Sandip Kumar,
_eeditor.
700 1 _aDutta, Joydeep.
_uNSHM, Durgapur.
700 1 _aBiswas, Arindam.
_uKazi Nazrul Uni.
700 1 _aDutta, Gorachand
_uIIT KGP
700 1 _aSarkar, Mrinal Kanti
_uNIT Manipur
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003102397
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c4787
_d4787