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Kniha GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks Muhammad Akram

GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks

Energy Efficient Selection of Verification Nodes and Routes for Data Forwarding

Autor: Muhammad Akram, Taeho Cho, Muhammad Ashraf
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Lambert Academic Publishing
Dostupnost: Skladem u dodavatele
Odesíláme za 8-11 dnů
984 Kč
Wireless sensor Networks (WSNs) are highly vulnerable to security attacks due to their reliance on w...

Informace o knize

Autor
Muhammad Akram, Taeho Cho, Muhammad Ashraf
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2018
Stránek
116
EAN
9786139840038
Enbook ID
19747424
Vydavatel
Lambert Academic Publishing
Hmotnost
181
Rozměry
152 x 229 x 7

Kompletní popis

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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