Robustness optimization for IoT topology / Tie Qiu, Ning Chen, Songwei Zhang.
Qiu, Tie, author.; Chen, Ning, author.; Zhang, Songwei, author.
2022
TK5105.8857
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Robustness optimization for IoT topology / Tie Qiu, Ning Chen, Songwei Zhang.
Author Qiu, Tie, author.
ISBN 9789811696091 (electronic bk.)
9811696098 (electronic bk.)
981169608X
9789811696084
DOI https://doi.org/10.1007/978-981-16-9609-1
Published Singapore : Springer, 2022.
Language English
Description 1 online resource (1 volume) : illustrations (black and white, and color).
Item Number 10.1007/978-981-16-9609-1 doi
Call Number TK5105.8857
Dewey Decimal Classification 004.678
Summary The IoT topology defines the way various components communicate with each other within a network. Topologies can vary greatly in terms of security, power consumption, cost, and complexity. Optimizing the IoT topology for different applications and requirements can help to boost the networks performance and save costs. More importantly, optimizing the topology robustness can ensure security and prevent network failure at the foundation level. In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking. The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Starting with the self-organization of networks, it gradually moves to genetic evolution. It also discusses the application of neural networks and reinforcement learning to endow the node with self-learning ability to allow intelligent networking. This book is intended for students, practitioners, industry professionals, and researchers who are eager to comprehend the vulnerabilities of IoT topology. It helps them to master the research framework for IoT topology robustness optimization and to build more efficient and reliable IoT topologies in their industry.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Chen, Ning, author.
Zhang, Songwei, author.
Available in Other Form ROBUSTNESS OPTIMIZATION FOR IOT TOPOLOGY.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
1.Introduction
2.Preliminaries of robustness optimization
3.Robustness optimization based on self-organization
4.Evolution-based robustness optimization
5.Robustness optimization based on swarm intelligence
6.Robustness optimization based on multi-objective cooperation
7.Robustness optimization based on self-learning
8.Robustness optimization based on node self-learning
9.Future research directions.

Browse Subjects

Show more subjects...

Statistics

from
to
Export