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CULMINATE COVERAGE FOR SENSOR NETWORK THROUGH BODACIOUS-INSTANCE MECHANISM

机译:通过BOTORICAL-DIPLATIC机制达到传感器网络的覆盖范围

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摘要

Due to unavoidable environmental factors, the wireless sensor networks are facing numerous tribulations regarding network coverage. This arose due to the uncouth deployment of the sensor nodes that influence the performance. To enhance the network coverage, a node deployment based Bodacious-instance Mechanism (BiM) has been proposed. Each instance describes a solution for the deployment of sensor nodes individually. Further variations of various parameters of BiM such as loudness, pulse emission rate, maximum frequency, grid points, and sensing radius has been explored and optimized values of these parameters are identified. The simulation results of node deployment based on tuned Bodacious-instance mechanism is also compared with BiM and fruit fly optimization algorithm (FOA) based node deployment in terms of mean coverage rate, computation time, and standard deviation. The coverage rate curve for various numbers of iterations and sensor nodes are also presented for tuned Bodacious-instance Mechanism, BiM, and FOA. The results demonstrate the effectiveness of tuned Bodacious-instance mechanism as it achieves more coverage rate than BiM and FOA.
机译:由于不可避免的环境因素,无线传感器网络面临着关于网络覆盖的许多培训。由于影响性能的传感器节点的Uncouth部署,这是由于影响性能的粗鲁部署。为了增强网络覆盖范围,已经提出了基于节点部署的BybiCal-实例机制(BIM)。每个实例都描述了单独部署传感器节点的解决方案。已经探索了BiM的各种参数的进一步变化,例如响度,脉冲发射率,最大频率,网格点和感测半径,并识别这些参数的优化值。基于调谐的Bydiud-instance机制的节点部署的仿真结果也与基于BIM和FOA)基于BIM和FOA)的节点部署在平均覆盖率,计算时间和标准偏差方面进行了比较。对于各种数量的迭代和传感器节点的覆盖率曲线也被呈现用于调谐的Bydomation-instance机制,BIM和FOA。结果证明了调谐的致力型机制的有效性,因为它达到了比BIM和FOA更多的覆盖率。

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