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.
|Number of pages||4|
|Publication status||Published - 2010|
|Event||12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing - Timsoara, Romania|
Duration: 23 Sep 2010 → …
|Conference||12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing|
|Period||23/09/10 → …|