Title
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.
Year
DOI
Venue
2012
10.1109/TSMCB.2012.2186611
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Keywords
Field
DocType
critical phenomena,temperature,thermodynamics,statistical analysis,statistical mechanics
Statistical mechanics,Mathematical optimization,Telecommunications network,Phase transition,Packet transmission,Computer science,Network packet,Theoretical computer science,Scaling,Critical phenomena,Distributed computing,Statistical analysis
Journal
Volume
Issue
ISSN
42
4
1941-0492
Citations 
PageRank 
References 
3
0.43
7
Authors
5
Name
Order
Citations
PageRank
Soumik Sarkar119728.75
Kushal Mukherjee210512.83
Ray, A.3832184.32
Abhishek Srivastav4245.99
Thomas A. Wettergren58512.11