Personality Filter in Mobile Networks with Communication Constraints

Author

Dimitrova, Maya ; Lekova, Anna ; Adda, Mo

Author_Institution

Inst. of Syst. Eng. & Robot., Bulgarian Acad. of Sci., Sofia, Bulgaria

fYear

2010

fDate

23-26 Sept. 2010

Firstpage

565

Lastpage

568

Abstract

A new psychological model for efficient data transmission in mobile networks under communication constrains is proposed. It accounts for user personality characteristics to determine the feasible path for packet transmission from source to target and to predict the availability of the communication resources based on dynamically determined level of node generosity. Two case studies are presented with initial performance better than chance. The model is designed for the developed framework of evolving fuzzy modeling in mobile Ad hoc networks via lightweight online unsupervised learning.

Keywords

fuzzy set theory; mobile ad hoc networks; telecommunication computing; unsupervised learning; communication constraints; data transmission; fuzzy modeling; mobile ad hoc network; online unsupervised learning; packet transmission; personality filter; psychological model; user personality characteristics; Filtering theory; Mobile ad hoc networks; Mobile communication; Mobile computing; Sensors; Social network services; fuzzy modeling; mobile Ad hoc networks; personality filter; selfish nodes;

fLanguage

English

Publisher

ieee

Conference_Titel

Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4244-9816-1

Type

conf

DOI

10.1109/SYNASC.2010.34

Filename

5715339