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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规划公式

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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:无线传感器网络是指大量传感器节点随机分布在恶劣的现场以收集数据。它监视物理现象的变化,例如温度,压力,湿度,太阳辐射,环境光的额外变化。传感器节点尺寸小,能量少,通信功率少,成本低和多功能节点。本文我们首先讨论不同类型的网络,额外的协议(即直接网络,分层网络等网络)和协议(例如LEACH,PEGASIS)。接下来,在本文中,我们将传感器节点随机部署在网格网络中,我们将重点放在不同类型的情况下,即关键区域(关键区域)中的数据聚合,在关键区域(关键网格)中,传感器节点的信息量很大。我们的目标是最大程度地提高传感器节点的数据生成率。为了达到这个目的,我们形成了不同的整数线性规划公式。使用CPLEX IBM ILOG之类的优化工具进行优化并使用MATLAB来显示关键网格聚合。

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