无线传感器网络中能量感知的移动单元调度

K. Gandhi, P. Narayanasamy
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引用次数: 1

摘要

在无线传感器网络中,移动单元的调度一直是一个重要的问题,因为传感器节点感知到的数据必须由该移动单元收集,以避免数据丢失。每个传感器节点感知数据并将其收集到缓冲区中。为每个传感器节点分配一个截止日期,这意味着在截止日期之后缓冲区将溢出,从而导致数据丢失。由于移动单元充当收集数据的基站,因此提出了许多调度算法,以便在不丢失任何数据的情况下满足最后期限。所提出的问题涉及移动元件的速度变化取决于传感器节点的采样频率。对于具有高采样率的节点,必须提高速度,因为这些节点的缓冲区溢出会更多,因此必须以有效的方式完成数据收集。移动元素收集数据的增加将最小化其他节点错过的截止日期。由于速度单元的变化不应增加移动单元的能量消耗,因此采用单纯形法确定各节点集的最优能量消耗。采用一组传感器节点通过改变其截流时间进行仿真,结果表明移动元件的速度变化不超过移动元件的最优能耗。仿真结果表明,以移动单元的速度变化为目标,在不超过移动节点所需的最优能耗的同时,使错过的截止日期数量最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy- aware mobile element scheduling in wireless sensor networks
In wireless sensor networks, scheduling of mobile element has been an important issue because the data sensed by the sensor node has to be collected by this mobile element so that no data loss occurs. Each sensor node senses the data and collects it in a buffer. A deadline is assigned to each sensor node which implies that after the deadline the buffer will overflow which leads to data loss. Since the mobile element acts as the base station to collect the data, many scheduling algorithms have been proposed so that the deadlines have been met without any data loss. The proposed problem involves the variation in the speed of the mobile element depending upon the sampling frequency of the sensor nodes. The speed has to be increased for nodes with high sampling rate because the buffer overflow will be more for these nodes and therefore the data collection has to be done in an efficient manner. This increase in collection of data by the mobile element will minimize the deadlines to be missed by other nodes. Since the variation in speed element should not increase the energy consumption of the mobile element, simplex method is applied in order to determine the optimal energy consumption for various set of nodes. Simulation with a set of sensor nodes by varying itpsilas deadline shows that the variation in speed of the mobile element does not exceed the optimal energy consumption of the mobile element. Simulation results show that the objective of varying the speed of the mobile element has proved that the number of deadlines missed have been minimized and at the same time it does not exceed the optimal energy consumption required for the mobile nodes.
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