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  1. Transactions on Autonomous and Adaptive Systems (TAAS)
  2. ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 10
  3. Issue 4(Special Section on Best Papers from SEAMS 2014 and Regular Articles), February 2016
  4. Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs
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ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 11
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 10
Issue 4(Special Section on Best Papers from SEAMS 2014 and Regular Articles), February 2016
Introduction to the Special Section on Best Papers from SEAMS 2014
Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations
User-Centric Adaptation Analysis of Multi-Tenant Services
Designing Adaptive Applications Deployed on Cloud Environments
Inferring Software Component Interaction Dependencies for Adaptation Support
Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs
Connectivity Reestablishment in Self-Organizing Sensor Networks with Dumb Nodes
Self-Stabilized Fast Gossiping Algorithms
Enhancing Reliability of Workflow Execution Using Task Replication and Spot Instances
Issue 3, October 2015
Issue 2, June 2015
Issue 1, March 2015
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 9
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 8
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 7
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 6
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 5
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 4
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 3
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 2
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 1

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Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs

Content Provider ACM Digital Library
Author Roveri, Manuel Anastasi, Giuseppe Guglielmo, Domenico De Brienza, Simone
Copyright Year 2016
Abstract Recent studies have shown that the IEEE 802.15.4 MAC protocol suffers from severe limitations, in terms of reliability and energy efficiency, when the CSMA/CA parameter setting is not appropriate. However, selecting the optimal setting that guarantees the application reliability requirements, with minimum energy consumption, is not a trivial task in wireless sensor networks, especially when the operating conditions change over time. In this paper we propose a Just-in-Time LEarning-based Adaptive Parameter tuning (JIT-LEAP) algorithm that adapts the CSMA/CA parameter setting to the time-varying operating conditions by also exploiting the past history to find the most appropriate setting for the current conditions. Following the approach of $\textit{active}$ adaptive algorithms, the adaptation mechanism of JIT-LEAP is triggered by a change detection test only when needed (i.e., in response to a change in the operating conditions). Simulation results show that the proposed algorithm outperforms other similar algorithms, both in stationary and dynamic scenarios.
Starting Page 1
Ending Page 26
Page Count 26
File Format PDF
ISSN 15564665
e-ISSN 15564703
DOI 10.1145/2818713
Volume Number 10
Issue Number 4
Journal ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-01-13
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword CSMA/CA IEEE 802.15.4 Wireless sensor networks Active adaptive algorithms Change detection tests
Content Type Text
Resource Type Article
Subject Control and Systems Engineering Software
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