QELAR
From NUEESS
(Difference between revisions)
| Line 1: | Line 1: | ||
== Overview == | == Overview == | ||
| + | QELAR is a Q-learning-based energy-efficent and lifetime-aware routing protocol. It is designed to address various issues related to underwater acoustic sensor networks (UW-ASNs). By learning the environment and evaluating an action-value function (Q-value), which gives the expected reward of taking an action in a given state, the distributed learning agent is able to make a decision automatically. | ||
| + | |||
| + | We find that Q-learning is very suitable in UW-ASNs in the following ways: | ||
| + | |||
| + | *'''Low Overhead.''' | ||
== Design == | == Design == | ||
Revision as of 11:07, 23 May 2011
Contents |
Overview
QELAR is a Q-learning-based energy-efficent and lifetime-aware routing protocol. It is designed to address various issues related to underwater acoustic sensor networks (UW-ASNs). By learning the environment and evaluating an action-value function (Q-value), which gives the expected reward of taking an action in a given state, the distributed learning agent is able to make a decision automatically.
We find that Q-learning is very suitable in UW-ASNs in the following ways:
- Low Overhead.
Design
Simulation Tools
Downloads
Installation Guide
| Whos here now: Members 0 Guests 1 Bots & Crawlers 14 |
