Novel Energy Efficient Secure Routing Protocol for Mobile Sink WSN | Book covers Clustering, Routing, Energy Consumption, Quality of Service (QoS), Security and Location Privacy in WSN

V. Kavidha (u. a.)

ISBN 10: 6139475163 / ISBN 13: 9786139475162

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

Novel Energy Efficient Secure Routing Protocol for Mobile Sink WSN | Book covers Clustering, Routing, Energy Consumption, Quality of Service (QoS), Security and Location Privacy in WSN | V. Kavidha (u. a.) | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139475162 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 116549220

Bibliographic Details

• Title: Novel Energy Efficient Secure Routing Protocol for Mobile Sink WSN | Book covers Clustering, Routing, Energy Consumption, Quality of Service (QoS), Security and Location Privacy in WSN
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6139475163
• ISBN 13: 9786139475162
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Dissimilar sensor nodes in the heterogeneous network are the efficient network strategy. Since it has some capabilities like enhanced processing ability, additional memory power and distant transmission ability. For effective clustering and route formation among the pair of nodes, an efficient Enhanced Fuzzy C means and Adaptive TDMA Scheduling (ECATS) method is proposed as a protocol to facilitate communication within the network. So that data packets can be delivered within time to the mobile sink. Here introducing the novel protocol named as Neural Elliptic Galois (NEG) cryptography for efficient data security. Also, the location privacy (Threshold fault node detection) is taken in to account for better security. Cluster head (CH) selection is done on the basis of energy to manage the data aggregation among a number of nodes in the network. Here, hybridization of TDMA based Ant Lion Optimization scheduling is introduced for optimal CH selection is used for better energy efficiency. Finally, ECATS can be done with optimized WSN performance metrics such as packet delivery ratio, throughput, minimum energy consumptions, communication overheads & end to end delay.