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Introduction
Recently, Nature-inspired computing based meta-heuristic algorithms have become progressively more popular in solving the multi-objective optimization problems of different research fields. Practical applications of Nature-inspired computing techniques in solving various optimization problems of the advanced communication networks such as Wireless Sensor Networks, Vehicular AdHoc Networks , Internet of Things, Data Center network, are very challenging issues. The main aim of the nature-inspired metaheuristic algorithm is to provide near optimal solution for the NP-hard problem. There are various NP-hard problems in the field of Advanced Communication Networks that can be solve efficiently using nature-inspired intelligence such as Genetic Algorithm (GA), PSO, ACO, ABC, Cuckoo Search, Honey-Bee Mating(HBM) etc. The implication of this book is to provide basic understanding of nature-inspired computing and its applications in solving various multi-objective optimization problems of the advanced communication networks.
Objective
This book aims to provide the application of nature-inspired intelligence for solving the various optimization problems of the advanced communication networks such as WSNs, VANETs, IoT, and DSNs etc. It will be written for researchers and professionals to enhance their understanding of nature-inspired computing and helps in solving various optimization problems of advanced communication networks.
Target Audience
The target audience of the proposed handbook will be research scholar, researchers, Faculties and professionals working in the field of Wireless Sensor Network, Internet of Things, Multi-objective optimizations and Nature-inspired computing. The target audience can get more insights on the applications of Nature-inspired computing for solving the multi-objective optimization problems of the wireless sensor networks.
Recommended Topics
Nature-Inspired Computing Applications for optimization problems such as:
• Energy Efficient Routing for WSNs
• Energy Efficient Cluster Head Selection
• Energy-Efficient Hierarchical Routing
• Itinerary calculation for Mobile Sinks
• Deployment of the Multiple Mobile Sinks
• k-coverage node deployment
• Sleep Scheduling
• Target Coverage
• Barrier Coverage
• Area Coverage
• Cover set problem
• Coverage and Connectivity Issues
• Node Localization problem
• Dynamic Relocalization of the Mobile Sinks
• wake-up scheduling
• Mobile sensor deployment problem
• topology control
• Task allocation problem
• Allocation of multiple base stations
• optimal deployment of relay nodes
• resource control and lifetime optimization
• Lifetime aware resource management
• Impasse-Aware Node Placement
• Optimal Power Allocation in Wireless Sensor Networks
• Routing optimization in vehicular networks
• Multicast Routing optimization in vehicular networks
• Routing optimization in vehicular networks
Submission Procedure
Researchers and practitioners are invited to submit chapters on or before March 30, 2019, a chapter proposal of 3000 to 7000 words clearly explaining the mission and concerns of his or her proposed chapter. Full chapters are expected to be submitted by May 30, 2019. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2020.
Important Dates
Proposals Submission Deadline: March 30, 2019.
Full Chapters Submission: May 30, 2019.
Revised Chapter Submission: July 15, 2019
Final Acceptance Notification: July 30, 2019.
Final Chapter Submission: Sept 15, 2019.
Inquiries
gpgupta.it@nitrr.ac.in
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