Abstract
We examine the design of self-organizing mobile adaptive networks with multiple targets in which the network nodes form distinct clusters to learn about and purse multiple targets, all while moving in a cohesive collision-free manner. We build upon previous distributed diffusion-based adaptive learning networks that focused on a single target to examine the case with multiple targets in which the nodes do not know the number of targets, and exchange local information with their neighbors in their learning objectives. In particular, we design a method allowing the nodes to switch the target they are tracking thereby engendering the formation of distinct stable learning groups that can split up and purse their distinct targets over time. We provide analytical mean stability and steady state mean-square deviation results along with simulations that demonstrate the efficacy of the proposed method.
Original language | English (US) |
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Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3217-3221 |
Number of pages | 5 |
Volume | 2015-August |
ISBN (Print) | 9781467369978 |
DOIs | |
State | Published - Aug 4 2015 |
Event | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: Apr 19 2014 → Apr 24 2014 |
Other
Other | 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 |
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Country | Australia |
City | Brisbane |
Period | 4/19/14 → 4/24/14 |
Keywords
- adaptive networks
- diffusion adaptation
- distributed signal processing
- mobility
- self-organization
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering