Robustness optimization for IoT topology / Tie Qiu, Ning Chen, Songwei Zhang.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Robustness optimization for IoT topology / Tie Qiu, Ning Chen, Songwei Zhang.

9789811696091 (electronic bk.)
9811696098 (electronic bk.)
981169608X
9789811696084

Singapore : Springer, 2022.

English

1 online resource (1 volume) : illustrations (black and white, and color).

10.1007/978-981-16-9609-1 doi

TK5105.8857

004.678

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.

Includes bibliographical references.

Access limited to authorized users.

Description based on print version record.

Online Resources > Ebooks
All Resources