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首页> 外文期刊>The mediterranean journal of electronics and communications >A MODIFIED FUZZY C-MEANS CLUSTER-BASED APPROACH FOR WIRELESS SENSOR NETWORK
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A MODIFIED FUZZY C-MEANS CLUSTER-BASED APPROACH FOR WIRELESS SENSOR NETWORK

机译：无线传感器网络的改进的基于模糊C均值聚类的方法

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摘要

Wireless Sensor Networks (WSNs) present a new generation of real-time embedded systems for a wide variety of applications. However, WSNs have limited energy and memory resource. One of the approaches to minimize the energy consumption is to divide the sensor nodes in the network area into clusters and allow only one node in each cluster, called cluster head, to aggregate date from sensor node in cluster and transmit it to Base Station (BS). An efficient method for clustering and appropriate cluster head election can drastically reduce the energy consumption and enhance the lifetime of the network. In the proposed protocol, the sensor nodes were clustered by a modified fuzzy C-means method (modified FCM) to reduce the transmission distance. Then an appropriate cluster head for each cluster is elected based on fuzzy logic system. Three parameters were used for this election process, energy, concentration and centrality. Each cluster head collected data from sensors belonging to its cluster and forwards it to BS. Proactive and reactive data reporting models were used in the proposed protocol. After modeling the proposed energy efficient method for the WSN, LEACH and Gupta protocols are compared with the proposed protocol in even and uneven environments. Simulation results shown that proposed proactive protocol improves the stability period by 55% and 3.9%, respectively as compared with LEACH and Gupta in even environment, and by 58.6% and 6.7%, respectively as compared with LEACH and Gupta in uneven environment. Also the proposed reactive protocol improves the stability period by 134.4% and 83.3%, respectively as compared with LEACH and Gupta in even environment, and by 131.8% and 79.9%, respectively as compared with LEACH and Gupta in uneven environment. Finally, proposed protocol modeling and simulation was done by using MATLAB.
机译：无线传感器网络（WSN）提供了适用于各种应用的新一代实时嵌入式系统。但是，WSN具有有限的能量和内存资源。最小化能耗的方法之一是将网络区域中的传感器节点划分为群集，并且每个群集中仅一个节点（称为群集头）汇总来自群集中传感器节点的日期并将其传输到基站（BS） ）。一种有效的群集方法和适当的群集头选举可以大大降低能耗并延长网络寿命。在提出的协议中，传感器节点通过改进的模糊C均值方法（改进的FCM）进行聚类以减少传输距离。然后基于模糊逻辑系统为每个聚类选择一个合适的聚类头。该选举过程使​​用了三个参数：能量，集中度和集中度。每个簇头均从属于其簇的传感器收集数据，并将其转发给BS。提议的协议中使用了主动和被动数据报告模型。在为无线传感器网络（WSN）建模建议的节能方法后，将LEACH和Gupta协议与在平坦和不平坦的环境中建议的协议进行了比较。仿真结果表明，所提出的主动协议在均匀环境下的稳定性比LEACH和Gupta分别提高了55％和3.9％，在不平坦环境下的稳定性比LEACH和Gupta分别提高了58.6％和6.7％。此外，所提出的反应方案在均匀环境中的稳定性比LEACH和Gupta分别提高了134.4％和83.3％，在不平坦环境中的稳定性比LEACH和Gupta分别提高了131.8％和79.9％。最后，使用MATLAB完成了建议的协议建模和仿真。

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