Nature-Inspired Computing Applications in Advanced Communication Networks

Nature-Inspired Computing Applications in Advanced Communication Networks
PDF
  • eBook:
    Nature-Inspired Computing Applications in Advanced Communication Networks
  • Author:
    Govind P. Gupta
  • Edition:
    -
  • Categories:
  • Data:
    October 21, 2019
  • ISBN:
    1799816273
  • ISBN-13:
    9781799816270
  • Language:
    English
  • Pages:
    340 pages
  • Format:
    PDF

Book Description
With the rapid growth of technology in society, communication networks have become a heavily researched topic. Implementing these advanced systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks. Despite its popularity, this specific computing technique lacks the appropriate amount of research that is needed for professionals to grasp a definite understanding.

Nature-Inspired Computing Applications in Advanced Communication Networks is a collection of innovative research on the methods and applications of natural computation techniques and algorithms within communication systems such as wireless sensor networks, vehicular adhoc networks, and internet of things. While highlighting topics including mobile sensor deployment, routing optimization, and sleep scheduling, this book is ideally designed for researchers, network professionals, computer scientists, mathematicians, developers, scholars, educators, and students seeking to enhance their understanding of nature-inspired computing and its solutions within various advanced communication networks.

Content

Chapter 1. Impact of Nature-Inspired Algorithms on Localization Algorithms in Wireless Sensor Networks
Chapter 2. Two-Sided Assembly Line Balancing Optimization With Spider Monkey Optimization
Chapter 3. Salp: Metaheuristic-Based Clustering for Wireless Sensor Networks
Chapter 4. Nature-Inspired-Based PTS for PAPR Reduction in OFDM Systems
Chapter 5. Optimization of Energy Efficiency in Wireless Sensor Networks and Internet of Things: A Review of Related Works
Chapter 6. Energy-Efficient Routing for WSNs
Chapter 7. A Study on Energy-Efficient Wireless Sensor Network Protocols
Chapter 8. The Efficient Managemnet of Renewable Energy Resources for Vanet-Cloud Communication
Chapter 9. Performance Analysis of Multi-Hop Routing Protocol With Optimized Grid-Based Clustering for Wireless Sensor Network

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