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Pervasive Computing: A Networking Perspective and Future Directions

Overview of attention for book
Cover of 'Pervasive Computing: A Networking Perspective and Future Directions'

Table of Contents

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    Book Overview
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    Chapter 1 Implementation of Authentication and Access Control Protocol for Heterogeneous Network
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    Chapter 2 A Framework for Agent-Based Detection and Prevention of DDoS Attacks in Distributed P2P Networks
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    Chapter 3 Comparative Analysis of Routing Algorithms for Underwater Sensor Network
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    Chapter 4 Resource Utilization of DTN Routing Protocols by Calculating Energy Consumption of Mobile Nodes
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    Chapter 5 A Multiband Octagonal Slot Patch Antenna for Various Wireless Applications
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    Chapter 6 Improving Network Lifetime of SEECH Clustering Algorithm Using Mobile Sinks and Rendezvous Nodes
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    Chapter 7 A Low Noise Figure and High-Gain Inductive Source Degenerative LNA for Wireless Application
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    Chapter 8 Energy-Efficient Wireless Sensor’s Routing Using Balanced Unequal Clustering Technique
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    Chapter 9 Performance Evaluation of Unitary Measurement Matrix in Compressed Data Gathering for Real-Time Wireless Sensor Network Applications
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    Chapter 10 Energy-Efficient LEACH Protocol with Multipower Amplification for Wireless Sensor Networks
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    Chapter 11 Ontology-based Bitmasking Approach for Smart e-tourism System
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    Chapter 12 Prediction of Bus Arrival Time Using Intelligent Computing Methods
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    Chapter 13 Energy-Efficient WSN Using Membership Handshaking Clustering Technique for Isolated Nodes
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    Chapter 14 Comparative Analysis of Tree-Based Data Aggregation Protocols to Maximize Lifetime of Wireless Sensor Networks
Attention for Chapter 12: Prediction of Bus Arrival Time Using Intelligent Computing Methods
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Chapter title
Prediction of Bus Arrival Time Using Intelligent Computing Methods
Chapter number 12
Book title
Pervasive Computing: A Networking Perspective and Future Directions
Published by
Springer, Singapore, January 2019
DOI 10.1007/978-981-13-3462-7_12
Book ISBNs
978-9-81-133461-0, 978-9-81-133462-7
Authors

Aditya Khamparia, Rubina Choudhary, Khamparia, Aditya, Choudhary, Rubina

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Unknown 4 67%
Readers by discipline Count As %
Engineering 1 17%
Unknown 5 83%

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