Paper Info
Title
A learning-based algorithm for optimal mac parameters setting in IEEE 802.15.4 wireless sensor networks
Abstract
Recent studies have shown that the IEEE 802.15.4 MAC protocol may suffer from severe limitations, in terms of reliability and energy efficiency, if CSMA/CA parameter settings are not appropriate. On the other hand, choosing the optimal setting that guarantees the application requirements with minimum energy consumption, may not be a trivial task in a real environment, where the operating conditions change over time. In this paper we propose a LEarning-based Adaptive Parameter tuning (LEAP) algorithm that, in addition to adapting the CSMA/CA parameter settings to the time-variant operating conditions, also exploits the past history to figure out the most appropriate settings for the current conditions. Simulation results show that, in stationary conditions, the performance of the proposed algorithm is very close to an ideal (but unfeasible) algorithm. It is shown that LEAP is able to select in dynamic scenarios the optimal settings faster than related algorithms.
Year
DOI
Venue
2013
10.1145/2507248.2507251
PE-WASUN
Keywords
Field
DocType
optimal mac parameter,learning-based algorithm,time-variant operating condition,operating conditions change,wireless sensor network,learning-based adaptive parameter tuning,minimum energy consumption,appropriate setting,ca parameter setting,optimal setting,proposed algorithm,energy efficiency,related algorithm,csma ca,reliability
Network allocation vector,Efficient energy use,Computer science,Algorithm,Computer network,Exploit,Real-time computing,Distributed coordination function,Energy consumption,Carrier sense multiple access with collision avoidance,Wireless sensor network,IEEE 802.15
Conference
Citations 
PageRank 
References 
1
0.35
12
Authors
5
Name
Order
Citations
PageRank
Simone Brienza1956.81
Domenico De Guglielmo21068.02
Cesare Alippi31040115.84
Giuseppe Anastasi42236125.94
Manuel Roveri527230.19