Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs
Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs
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DOI：
10.1145/2818713
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发表时间：
2016-02-01
影响因子：
2.7
通讯作者：
Anastasi, Giuseppe
中科院分区：
文献类型：
--
作者：
Brienza, Simone;Roveri, Manuel;Anastasi, Giuseppe
最近的研究表明，IEEE 802.15.4 MAC协议遭受严重的限制，在可靠性和能源效率方面，当CSMA/CA参数设置是不适当的。然而，在无线传感器网络中，选择保证应用可靠性要求的最佳设置，以最小的能量消耗，不是一个微不足道的任务，特别是当操作条件随时间变化时。在本文中，我们提出了一种基于实时学习的自适应参数调整（JIT-LEAP）算法，该算法通过利用过去的历史来为当前条件找到最合适的设置，从而使CSMA/CA参数设置适应时变的操作条件。遵循主动自适应算法的方法，JIT-LEAP的自适应机制仅在需要时由变化检测测试触发（即，响应于操作条件的变化）。模拟结果结果表明，该算法优于其他类似的算法，在静态和动态的情况下。
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 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.