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Assessment of Different Algorithms to Solve the Set-Covering Problem in a Relay Selection Technique

机译:评估继电器选择技术中解决覆盖问题的不同算法

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The use of adequate relay selection techniques is crucial to improve the behavior of cooperation based approaches in Wireless Sensor Networks (WSN). The Optimized Relay Selection Technique (ORST) is a relay selection technique that may be reduced to the application on classic set-covering problem (SCP) to WSN. The SCP seeks to find a minimum number of sets that contain all elements of all data sets. The SCP can be solved with different types of algorithms. This paper assesses the performance and quality of three different algorithms to solve the SCP generated by the previously proposed ORST technique, considering performance metrics relevant within WSNs context. The analysis was performed by simulation using the OMNeT++ tool and the WSN framework Castalia. The simulation results show that the branch and bound algorithm excels when compared to other state-of-the-art approaches.
机译:适当的中继选择技术的使用对于改善无线传感器网络(WSN)中基于协作的方法的行为至关重要。优化中继选择技术(ORST)是一种中继选择技术,可以简化为WSN的经典集覆盖问题(SCP)上的应用。 SCP试图找到包含所有数据集的所有元素的最小数量的集。可以使用不同类型的算法来解决SCP。本文评估了三种不同算法的性能和质量,以解决先前提出的ORST技术生成的SCP,同时考虑了WSN上下文中相关的性能指标。使用OMNeT ++工具和WSN框架Castalia通过仿真进行分析。仿真结果表明,与其他最新方法相比,分支定界算法表现出色。

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