arrow
Return

Mobile Adaptive Networks

delete2011-08-01
delete160
PRE
AI
S
Sheng-Yuan Tu *
A
Ali H. Sayed
DOI:10.1109/JSTSP.2011.2125943delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
In this paper, we investigate the self-organization and cognitive abilities of adaptive networks when the individual agents are allowed to move in pursuit of a target. The nodes act as adaptive entities with localized processing and are able to respond to stimuli in real-time. We apply adaptive diffusion techniques to guide the self-organization process, including harmonious motion and collision avoidance. We also provide stability and mean-square performance analysis of the proposed strategies, together with computer simulation to illustrate results.
Keywords:
Adaptive networks
cognitive networks
diffusion adaptation
mobility
self-organization
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Journal of Selected Topics in Signal Processing cover
IEEE Journal of Selected Topics in Signal Processing
IF:
13.7
Papers:
1.9K
Citations:
1.1W

Organization

University of California System cover
University of California System
Scholars:
37.7W
Papers: 33.8W
Citations: 6.6K
Cited Papers

Cited Papers

Combat-Related Traumatic Brain Injury and Its Implications to Military Healthcare
err2010-12-01
err0
PREAI
errKimberly S. Meyer; Donald W. Marion; Helen Coronel; Michael S. Jaffee
errShare
errSave
errShare
errSave
errShare
errSave
Total sleep deprivation increases pain sensitivity, impairs conditioned pain modulation and facilitates temporal summation of pain in healthy participants
err2019-12-04
err0
errOAAI
errAlexander Torp Staffe; Mathias Winther Bech; Sara Louise Kjær Clemmensen; Henriette Tranberg Nielsen; Dennis Boye Larsen; Kristian Kjær Petersen
errShare
errSave
errShare
errSave
researcher View more