Network Science for Communication Engineering

Network Science for Communication Engineering

Sudhir K. Routray
Copyright: © 2021 |Pages: 11
DOI: 10.4018/978-1-7998-3479-3.ch065
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Over the last two decades, networks science has been developed into a systematic tool for the study and analysis of networks of different types. Mainly, for the analysis of complex networks, it is the first choice irrespective of the discipline. In order to design elegant systems and to understand the complexities of the nature, scientists and engineers encounter many networks. Understanding of those networks provides basis for the resolution of the underlying complexities. Communication tools and devices have become ubiquitous these days due to the proliferation of the Internet and mobile networks. Communication networks have become gigantic and their characteristics have become very complex. Their complexities can be understood using network scientific methods developed for complex networks in network science. In this article, we provide the origin, characteristics, and main utilities of network science. We explain that the models of network science can be applied to estimate the parameters of the communication networks. It can assist in the practical cost estimations as well.
Chapter Preview
Top

Introduction

Network science is associated with the study, analysis, modeling and applications of networks. Networks are not limited to any one or two disciplines. Rather, networks are found in almost every field in different forms. For instance, in electrical engineering we have electrical circuits which are known as networks. In communication engineering, we have communication networks of different types such as access networks, regional networks, core networks and the Internet. Computer networks are very much identical to the communication networks these days. In fact, unification of communication and computing has given birth to the Internet. Power distribution networks are found throughout the world. They are huge in size and directly affect the human activities across the world these days. In our society, we have different types of social networks. Social networks through the communication platforms have given birth to the online social networks such as LinkedIn and Facebook. However, the social networks are very much older than the current social networks found online. The social networks were started along with the civilizations. However, their studies in psychology were started much later in the twentieth century (Moreno, 1934). Transportation networks are formed through the roads connecting cities, towns and villages. These transportation networks are also found over the water and air as the shipping and airline networks. Based on the economic activities between different countries and regions, trade and economic networks are formed.

In the nature, many different types of networks are found in various forms. Human brain is a complex network of neurons. In the human body there are some other networks as well such as blood circulation network and the lymphatic networks. In genetics, we can find out the link between generations and different clans. It is also a complex network. Based on the genetics, doctors classify different diseases and utilize them for advanced research and clinical treatments. This branch of medicine is commonly known as network medicine. Metabolism of organisms follows different sequences of processes which forms a metabolic network. Rivers and streams form natural water supply networks. In the modern world, there are several resource supply and distribution networks. Structural networks are found in different mechanical designs and civil architectures. In scientific collaborations we find the citation networks.

Complex systems are the large and randomly related with their components. The components of these systems are complexly related with each other. In other words, these systems are made up of many heterogeneous and non-identical elements connected through several diverse interactions. In every complexity, we always find a network is associated (Albert & Barabási, 2002). In order to understand the complexities, the underlying networks have to be understood properly. As we have seen above, every discipline has complex issues. Mapping the complexities accurately we can find a network which has the potential to simplify its understanding (Albert & Barabási, 2002). This is the main reason behind the popularity of network science.

Key Terms in this Chapter

Network: A network is a combination of nodes and links. The nodes function as the source or processor of information and the links work as the communicator between the nodes.

Communication Networks: These are the networks which facilitate the communication between two distant communicators.

Network Science: This is the emerging branch of science which deals with the study and analysis of networks to explain the complexities.

Communication Engineering: This is the branch of electrical engineering that deals with the principles and applications of communication processes.

Complexity: Complexity is the lack of simplicity in a system. Complex systems need sophisticated tools to analyze them.

Network Cost Estimation: This is a detailed method of estimation of the costs of different types of networks using logical methods.

Statistical Modeling: Statistical modeling is the process or combination of processes in which the statistical information play the key roles.

Network Dimensioning: In network dimensioning, all the requirements of a network such as number of network components, bandwidth, and cost parameters are determined using the basic principles of communication engineering.

Complete Chapter List

Search this Book:
Reset