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首页> 外文会议>International Conference on Electrical, Electronics, and Optimization Techniques >A fuzzy-ACO algorithm to enhance reliability optimization through energy harvesting in WSN
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A fuzzy-ACO algorithm to enhance reliability optimization through energy harvesting in WSN

机译：WSN中通过能量收集增强可靠性优化的模糊ACO算法

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摘要

Reliability optimization in Wireless Sensor Network (WSN) is obviously an important problem. The basic function of a WSN is to provide an adequate and quality data transmission as economically as possible with a reasonable level of reliability with minimum power consumption. To make the system more reliable, solar energy has been considered as energy harvesting strategy. In this paper, an algorithm aiming for reliability optimization in WSN systems is discussed. This algorithm is based on a modified Ant Colony Optimization (ACO) algorithm. The throughput obtained from Sensor Medium Access Control (SMAC) protocol considered as objective function with respect to different environmental constraints. For the input variables, fuzzy models with trapezoidal membership functions are used. The results obtained are compared with other approaches from literature and found satisfactory.
机译：无线传感器网络（WSN）中的可靠性优化显然是一个重要问题。 WSN的基本功能是在经济上以合理的可靠性，以最小的功耗提供足够的高质量数据传输。为了使系统更可靠，太阳能已被视为能量收集策略。本文讨论了一种针对无线传感器网络系统可靠性优化的算法。该算法基于改进的蚁群优化（ACO）算法。从传感器介质访问控制（SMAC）协议获得的吞吐量被视为针对不同环境约束的目标函数。对于输入变量，使用具有梯形隶属度函数的模糊模型。将获得的结果与文献中的其他方法进行比较，发现令人满意。

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