Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks

Abstract

This paper presents the qualitative nature of communication network operations as abstraction of typical thermodynamic parameters (e.g., order parameter, temperature, and pressure). Specifically, statistical mechanics-inspired models of critical phenomena (e.g., phase transitions and size scaling) for heterogeneous packet transmission are developed in terms of multiple intensive parameters, namely, the external packet load on the network system and the packet transmission probabilities of heterogeneous packet types. Network phase diagrams are constructed based on these traffic parameters, and decision and control strategies are formulated for heterogeneous packet transmission in the network system. In this context, decision functions and control objectives are derived in closed forms, and the pertinent results of test and validation on a simulated network system are presented.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2012
Accession Number
ADA566423

Entities

People

  • Abhishek Srivastav
  • Asok Ray
  • Kushal Mukherjee
  • Soumik Sarkar
  • Thomas Wettergren

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Communication Networks
  • Critical Temperature
  • Detectors
  • Diagrams
  • Equations
  • Mechanics
  • Military Research
  • Networks
  • Phase
  • Phase Diagrams
  • Phase Transformations
  • Probability
  • Probability Distributions
  • Sensor Networks
  • Statistical Mechanics
  • Transitions

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Networking