Barolli / Takizawa / Xhafa Advanced Information Networking and Applications

Proceedings of the 33rd International Conference on Advanced Information Networking and Applications (AINA-2019)
1. Auflage 2019
ISBN: 978-3-030-15032-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 926, 1357 Seiten, eBook

Reihe: Advances in Intelligent Systems and Computing

The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need tocollaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This book covers the theory, design and applications of computer networks, distributed computing and information systems.

Zielgruppe

Research

Autoren/Hrsg.

Barolli, Leonard

Takizawa, Makoto

Xhafa, Fatos

Enokido, Tomoya

Inhaltsverzeichnis

Electricity Load Forecasting in Smart Grids using Support Vector Machine.- Optimization of Response and Processing Time for Smart Societies using Particle Swarm Optimization and Levy Walk.- On Maximizing User Comfort using a Novel Meta-Heuristic Technique in Smart Home.- Towards Efficient Energy Management in a Smart Home using Updated Population.- A New Memory Updation Heuristic Scheme for Energy Management System in Smart Grid.- Towards Efficient Scheduling of Smart Appliances for Energy Management by Candidate Solution Updation Algorithm in Smart Grid.- Minimizing Daily Electricity Cost using Bird Chase Scheme with Electricity Management Controller in a Smart Home.- Optimal Power Flow with Uncertain Renewable Energy Sources using Flower Pollination Algorithm.- Efficient Information Flow Control by Reducing Meaningless Messages in P2PPSO Systems.- Comparison of Intelligent Algorithms with FACTS Devices for Minimization of Total Power Losses.