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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Using Clustering via Soccer League Competition Algorithm for Optimizing Power Consumption in WSNs (Wireless Sensor Networks)
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Using Clustering via Soccer League Competition Algorithm for Optimizing Power Consumption in WSNs (Wireless Sensor Networks)

机译：通过足球联赛竞争算法使用聚类，以优化WSNS（无线传感器网络）的功耗

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摘要

WSNs consist of small sensor nodes which have limited battery power, limited processing capability and limited memory unit. Self-organization and the lack of infrastructure are regarded as two significant features of WSNs. These features make sensors an appropriate choice and alternative for many applications. Features and limitations of WSNs should be taken into consideration in investigating WSN algorithms and protocols. However, recharging battery in sensor nodes is either impossible or very difficult. The main concern in designing WSN algorithms is to ensure about energy efficiency and lifetime of sensor network. In most cases, a sensor node located in a set of sensor nodes decides that which task should be done and determines the number of unique communication paths among sensor nodes. Large number of lost paths leads to energy imbalance among the nodes. In this paper, using soccer league competition algorithm, we proposed a clustering method which was able to optimize power consumption and reduce delay. The results of simulating the proposed method indicated that it performs better than NODIC protocol.
机译：WSN由小型传感器节点组成，电池电量有限，处理能力有限，存储器单元有限。自组织和缺乏基础设施被认为是WSN的两个重要特征。 These features make sensors an appropriate choice and alternative for many applications.在研究WSN算法和协议时，应考虑WSN的特征和限制。然而，传感器节点中的充电电池是不可能的或非常困难的。设计WSN算法方面的主要关注是为了确保传感器网络的能效和寿命。在大多数情况下，位于一组传感器节点中的传感器节点决定应该完成哪个任务并确定传感器节点之间的唯一通信路径的数量。大量丢失路径导致节点之间的能量不平衡。本文采用足球联赛竞争算法，我们提出了一种能够优化功耗并减少延迟的聚类方法。模拟所提出的方法的结果表明它表现优于节点协议。

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