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Enhanced Non-circular Dynamic Base Station Approach to Increase Network Lifetime of Wireless Sensor Network

机译:增强型非圆形动态基站方法,可延长无线传感器网络的网络寿命

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Wireless sensor network having many real time applications like health monitoring, military supervision, atmosphere monitoring, forensic concealment and etc. Energy consumption of sensor motes is a very important considerations in the design of routing for wireless sensor network. There exist several clustering algorithms to condense the power consumption and to stabilize the load of the sensor network . Here proposing with the new hybrid approach, i.e. Non circular dynamic base station with k-means and fuzzy logic approach. K-means clustering technique is used to form clusters and different fuzzy parameters are used to elect the cluster heads in each epoch. The fuzzy parameters taken are proximity of the mote to base station, energy among the sensor motes and the density of cluster. In each epoch cluster head is chosen based on the fuzzy parameters is known as Master cluster head. The base station moves towards the master cluster head to gather the data in each epoch. This novel approach will condense the energy dissipation of sensor mote in the network. The proposed approach simulated with the mat lab and comparing results with the existing protocol to show the improvement.
机译:无线传感器网络具有许多实时应用,例如健康监视,军事监视,大气监视,法医掩盖等。传感器节点的能耗是无线传感器网络路由设计中非常重要的考虑因素。为了降低功耗和稳定传感器网络的负载,存在几种聚类算法。这里提出了一种新的混合方法,即采用k均值和模糊逻辑方法的非圆形动态基站。使用K均值聚类技术形成聚类,并使用不同的模糊参数选举每个时期的聚类头。所采用的模糊参数是微粒与基站的接近程度,传感器微粒之间的能量以及簇的密度。在每个时期,基于模糊参数选择簇头称为主簇头。基站向主群集头移动,以在每个时期收集数据。这种新颖的方法将压缩网络中传感器微粒的能量消耗。所提出的方法在mat实验室进行了仿真,并将结果与​​现有协议进行了比较以显示改进。

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