GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks: Energy Efficient Selection of Verification Nodes and Routes for Data Forwarding - Softcover
Synopsis
Wireless sensor Networks (WSNs) are highly vulnerable to security attacks due to their reliance on wireless communication. Sensor nodes in WSNs are tiny in size and are supplied with limited energy resources and processing capabilities. These energy and hardware-resource-constrained nodes, without suitable safeguards, may be compromised by adversaries. Several en-route filtering schemes have been proposed to filter out false data en-route. However, almost all such schemes presuppose a conventional underlying routing protocol without regard to the attack status and energy dissipation behavior along the path. This book presents fuzzy-based adaptive selection of the intermediate verification nodes and data forwarding paths with dynamic authentication key dissemination to achieve better energy saving. Fuzzy rule-based scheme potentially balances the load between data forwarding paths, chooses the most suitable path for data forwarding, and generates fresh authentication keys and shares with the intermediate verification nodes. Genetic algorithm-based optimization technique automatically optimizes the membership functions in the fuzzy system.
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GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks
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LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139840031
ISBN 13: 9786139840038
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wireless sensor Networks (WSNs) are highly vulnerable to security attacks due to their reliance on wireless communication. Sensor nodes in WSNs are tiny in size and are supplied with limited energy resources and processing capabilities. These energy and hardware-resource-constrained nodes, without suitable safeguards, may be compromised by adversaries. Several en-route filtering schemes have been proposed to filter out false data en-route. However, almost all such schemes presuppose a conventional underlying routing protocol without regard to the attack status and energy dissipation behavior along the path. This book presents fuzzy-based adaptive selection of the intermediate verification nodes and data forwarding paths with dynamic authentication key dissemination to achieve better energy saving. Fuzzy rule-based scheme potentially balances the load between data forwarding paths, chooses the most suitable path for data forwarding, and generates fresh authentication keys and shares with the intermediate verification nodes. Genetic algorithm-based optimization technique automatically optimizes the membership functions in the fuzzy system. 116 pp. Englisch. Seller Inventory # 9786139840038
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GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139840031
ISBN 13: 9786139840038
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Akram MuhammadMuhammad Akram received a Ph.D. degree in Computer Engineering from Sungkyunkwan University, South Korea, in 2008, and B.S. and M.S. degrees in Computer Engineering and Software Engineering from BUITEMS, and Hamdard Uni. Seller Inventory # 385873706
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GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks
Published by
LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139840031
ISBN 13: 9786139840038
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Wireless sensor Networks (WSNs) are highly vulnerable to security attacks due to their reliance on wireless communication. Sensor nodes in WSNs are tiny in size and are supplied with limited energy resources and processing capabilities. These energy and hardware-resource-constrained nodes, without suitable safeguards, may be compromised by adversaries. Several en-route filtering schemes have been proposed to filter out false data en-route. However, almost all such schemes presuppose a conventional underlying routing protocol without regard to the attack status and energy dissipation behavior along the path. This book presents fuzzy-based adaptive selection of the intermediate verification nodes and data forwarding paths with dynamic authentication key dissemination to achieve better energy saving. Fuzzy rule-based scheme potentially balances the load between data forwarding paths, chooses the most suitable path for data forwarding, and generates fresh authentication keys and shares with the intermediate verification nodes. Genetic algorithm-based optimization technique automatically optimizes the membership functions in the fuzzy system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Seller Inventory # 9786139840038
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GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks : Energy Efficient Selection of Verification Nodes and Routes for Data Forwarding
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139840031
ISBN 13: 9786139840038
New
Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wireless sensor Networks (WSNs) are highly vulnerable to security attacks due to their reliance on wireless communication. Sensor nodes in WSNs are tiny in size and are supplied with limited energy resources and processing capabilities. These energy and hardware-resource-constrained nodes, without suitable safeguards, may be compromised by adversaries. Several en-route filtering schemes have been proposed to filter out false data en-route. However, almost all such schemes presuppose a conventional underlying routing protocol without regard to the attack status and energy dissipation behavior along the path. This book presents fuzzy-based adaptive selection of the intermediate verification nodes and data forwarding paths with dynamic authentication key dissemination to achieve better energy saving. Fuzzy rule-based scheme potentially balances the load between data forwarding paths, chooses the most suitable path for data forwarding, and generates fresh authentication keys and shares with the intermediate verification nodes. Genetic algorithm-based optimization technique automatically optimizes the membership functions in the fuzzy system. Seller Inventory # 9786139840038
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GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks | Energy Efficient Selection of Verification Nodes and Routes for Data Forwarding
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139840031
ISBN 13: 9786139840038
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Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks | Energy Efficient Selection of Verification Nodes and Routes for Data Forwarding | Muhammad Akram (u. a.) | Taschenbuch | 116 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139840038 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Seller Inventory # 114003034