
Advancing Intelligent Networks Through Distributed Optimization
Engineering Science Reference (Publisher)
Published on 29. August 2024
Book
Paperback/Softback
623 pages
979-8-3693-4874-1 (ISBN)
Description
The numerous developments in wireless communications and artificial intelligence (AI) have recently transformed the Internet of Things (IoT) networks to a level of connectivity and intelligence beyond any prior design. This topology is sharply exemplified in mobile edge computing, smart cities, smart homes, smart grids, and the IoT, among many other intelligent applications. Intelligent networks are founded on integrating caching and multi-agent systems that optimize data storage and the entire device's learning process. However, a central node through which all agents transmit status messages and reward information is a major drawback of this design pattern. This central node condition instigates more communication overhead, potential data leakage, and the birth of data islands. To reverse this trend, using distributed optimization techniques and methodologies in cache-enabled multi-agent learning environments is increasingly beneficial. Advancing Intelligent Networks Through Distributed Optimization explains the current race for sophisticated and accurate distributed optimization in cache-enabled intelligent IoT networks given the need to make multi-agent learning converge faster and reduce communication overhead. These techniques will require innovative resource allocation strategies stretching from system training to caching, communication, and processing amongst millions of agents. This book combines the key recent research in these races into a single binder that can serve all the interested theoretical and practical scholars. The book focuses broadly on intelligent systems' optimization trends. It identifies the various applications of advanced distributed optimization from manufacturing to medicine, agriculture and smart cities.
More details
Language
English
Place of publication
Hershey, PA
United States
Publishing group
IGI Global
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 33 mm
Weight
1156 gr
ISBN-13
979-8-3693-4874-1 (9798369348741)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

S. Suman Rajest | Salvatore Moccia | Bhopendra Singh
Advancing Intelligent Networks Through Distributed Optimization
Book
08/2024
IGI Global
€543.50
Shipment within 10-20 days