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Deployment-Based Lifetime Optimization Model for Homogeneous Wireless Sensor Network under Retransmission

机译:重传下基于部署的同质无线传感器网络生命周期优化模型

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摘要

Sensor-deployment-based lifetime optimization is one of the most effective methods used to prolong the lifetime of Wireless Sensor Network (WSN) by reducing the distance-sensitive energy consumption. In this paper, data retransmission, a major consumption factor that is usually neglected in the previous work, is considered. For a homogeneous WSN, monitoring a circular target area with a centered base station, a sensor deployment model based on regular hexagonal grids is analyzed. To maximize the WSN lifetime, optimization models for both uniform and non-uniform deployment schemes are proposed by constraining on coverage, connectivity and success transmission rate. Based on the data transmission analysis in a data gathering cycle, the WSN lifetime in the model can be obtained through quantifying the energy consumption at each sensor location. The results of case studies show that it is meaningful to consider data retransmission in the lifetime optimization. In particular, our investigations indicate that, with the same lifetime requirement, the number of sensors needed in a non-uniform topology is much less than that in a uniform one. Finally, compared with a random scheme, simulation results further verify the advantage of our deployment model.
机译:基于传感器部署的生命周期优化是通过减少距离敏感的能耗来延长无线传感器网络(WSN)寿命的最有效方法之一。在本文中,考虑了数据重传,这是先前工作中通常忽略的主要消耗因素。对于同质无线传感器网络,使用中心基站监视圆形目标区域,分析了基于规则六边形网格的传感器部署模型。为了最大化WSN寿命,通过限制覆盖范围,连接性和成功传输速率,提出了统一和非统一部署方案的优化模型。基于数据收集周期中的数据传输分析,可以通过量化每个传感器位置的能耗来获得模型中的WSN寿命。案例研究的结果表明,在生命周期优化中考虑数据重传是有意义的。特别地,我们的研究表明,在相同的使用寿命要求下,非统一拓扑中所需的传感器数量要比统一拓扑中的传感器数量少得多。最后,与随机方案相比,仿真结果进一步证明了我们部署模型的优势。

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