Open AccessPractical Implementation and Stability Analysis of ALOHA‐Q for Wireless Sensor Networks
Author(s) -
Kosunalp Selahattin,
Mitchell Paul Daniel,
Grace David,
Clarke Tim
Publication year - 2016
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.16.0115.1030
Subject(s) - aloha , channel (broadcasting) , computer science , stability (learning theory) , resilience (materials science) , reinforcement learning , wireless sensor network , transmission (telecommunications) , markov chain , wireless , throughput , computer network , telecommunications , artificial intelligence , machine learning , physics , thermodynamics
This paper presents the description, practical implementation, and stability analysis of a recently proposed, energy‐efficient, medium access control protocol for wireless sensor networks, ALOHA‐ Q , which employs a reinforcement‐learning framework as an intelligent transmission strategy. The channel performance is evaluated through a simulation and experiments conducted using a real‐world test‐bed. The stability of the system against possible changes in the environment and changing channel conditions is studied with a discussion on the resilience level of the system. A Markov model is derived to represent the system behavior and estimate the time in which the system loses its operation. A novel scheme is also proposed to protect the lifetime of the system when the environment and channel conditions do not sufficiently maintain the system operation.