GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks

Language: English

Published by LAP LAMBERT Academic Publishing Mai 2018, 2018

6139840031 / 9786139840038

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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.

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Title
GA Optimized Fuzzy Adaptive Data Routing in Wireless Sensor Networks
Author
Muhammad Akram
Publisher
LAP LAMBERT Academic Publishing Mai 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6139840031
ISBN 13
9786139840038
Item weight
191 grams
Dimensions
220x150x7 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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