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Data aggregation in Wireless Sensor Network: An integer linear programming formulation for energy optimization

机译:无线传感器网络中的数据聚合:用于能量优化的整数线性编程配方

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Wireless Sensor Network is huge number of sensor nodes disposed randomly in severe field to gather data. It monitors physical phenominan changes such as temperature, pressure, humidity, solar radiation, ambident light extra. Sensor nodes are small in size, having less energy, less communication power, less cost and multi functional nodes. This paper we firstly discuss about different types types of network, protocols extra i.e Network such as Direct network, hierarchical network etc and protocols like LEACH, PEGASIS. Next in this paper we deployed sensor nodes randomly in the grid network, We focus on data aggregation in different type of situation known as critical zone, in critical zone(critical grid) senor nodes are heavily loaded with information. Our objective is to maximize the data generation rate of sensor nodes. To got this objective we form different integer linear programming formulation. A optimization tool such as CPLEX IBM ILOG used for optimization and to show critical grids aggregation used MATLAB.
机译:无线传感器网络是大量的传感器节点,在严格的字段中随机设置,以收集数据。它监测物理现象的变化,如温度,压力,湿度,太阳辐射,差不多轻微的额外。传感器节点的大小小,能量较少,通信功率较少,成本较少,多功能节点。本文首先讨论了不同类型的网络类型,协议额外的网络,如直接网络,分层网络等和lech,Pegasis等协议。接下来在本文中,我们在网格网络中随机部署了传感器节点,我们专注于称为关键区域的不同类型情况的数据聚合,在关键区域(关键网格)传感器节点大量加载信息。我们的目标是最大化传感器节点的数据生成率。要实现这一目标,我们形成了不同的整数线性编程配方。用于优化的CPLEX IBM ILOG等优化工具,并显示MATLAB的关键网格聚合。

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