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A Broadcast-Based Data Gathering Method Considering Energy Consumption for Sensor Networks

机译:考虑传感器网络能耗的基于广播的数据收集方法

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In recent years, there has been an increasing interest in sensor networks, in which sensor nodes such as temperature or humidity sensors communicate with each other for environmental monitoring and so on. In sensor networks, it is important to reduce the energy consumption, since sensor nodes have limits in battery. Most researches achieve this by reducing sensor amount of transmitted data. However, there is a problem that the amount of transmitted data become large and their energy consumption becomes high when there are a lot of nodes in the sensing area. To solve the problem, we previously proposed a data gathering method. In this method, the data sink estimates the data value of nodes, broadcasts the estimated values, and then, sensor nodes whose observed values are largely different from the estimated values send the data. However, this method has a problem that it cannot sufficiently reduce the energy consumption. In this paper, we propose a new broadcast-based data gathering method. In this method, the data sink reduces the nodes which send their observed values when the reliability of gathered values by the data sink is high.
机译:近年来,对传感器网络的兴趣日益增长,在传感器网络中,诸如温度或湿度传感器之类的传感器节点相互通信以进行环境监视等。在传感器网络中,降低能耗非常重要,因为传感器节点在电池方面有局限性。大多数研究都是通过减少传感器的传输数据量来实现的。然而,当感测区域中有很多节点时,存在发送数据量变大并且其能量消耗变高的问题。为了解决该问题,我们先前提出了一种数据收集方法。在这种方法中,数据接收器估算节点的数据值,广播估算值,然后,观测值与估算值有很大不同的传感器节点发送数据。但是,该方法存在不能充分降低能量消耗的问题。在本文中,我们提出了一种新的基于广播的数据收集方法。在这种方法中,当数据接收器收集的值的可靠性很高时,数据接收器会减少发送其观测值的节点。

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