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首页> 外文会议>2014 International Conference on Advances in Energy Conversion Technologies : Intelligent Energy Management: Technologies and Challenges >Harnessing wind energy to power sensor networks for agriculture
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Harnessing wind energy to power sensor networks for agriculture

机译：利用风能为农业电力传感器网络

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Agriculture sector in India contributes 16% of GDP and 10% of export earnings. Agriculture sector dominates the Indian economy along with industries and services sector, which determines the growth and sustainability. About 65 per cent of the population relies on agriculture for employment and livelihood. Application of science and technology in agriculture is being practiced in several parts of the country. Wireless Sensor Networks (WSN) can be used as cost effective measures to improve the agricultural yield. Attempts have been made to use WSNs in improving agricultural yield, monitoring environmental conditions like humidity, soil moisture, temperature, weed disease detection, automated irrigation monitoring the growth of the crop etc. WSNs use batteries to power the sensors. However the life of the battery is limited and the sensors would need to be powered continuously. In this paper we look at recharging the batteries in the sensor nodes in a field by harnessing wind energy. We use data available on wind distribution across the state and also the available wind speed data to determine the energy that can be harvested. We also identify efficient energy aware algorithms to ensure minimal use of energy during data transfer between nodes. Our paper suggests an implementation where wind energy is harnessed to power the sensor nodes. In addition to the minimization of gross power consumption, the objective is the distribution of power consumption across the network, thereby extend the overall network battery life. We propose an adaptive power-aware routing algorithm using a combination of various proposed routing algorithms. We implement an efficient energy management system using the (Distributed Energy Harvesting Aware Routing) DEHAR algorithm and implement the same using Zigbee transmission. We also implement synchronous sleep scheduling to minimize power consumption in WSN.
机译：印度的农业部门贡献了GDP的16％和出口收入的10％。农业部门以及工业和服务部门主导着印度经济，这决定了增长和可持续性。大约65％的人口依靠农业谋生和谋生。该国一些地区正在实践将科学技术应用于农业。无线传感器网络（WSN）可以用作提高农业产量的经济有效措施。已尝试使用WSN来提高农业产量，监视湿度，土壤湿度，温度，杂草病检测等环境条件，自动灌溉以监测农作物的生长等。WSN使用电池为传感器供电。但是，电池的寿命有限，并且传感器需要连续供电。在本文中，我们着眼于利用风能为野外传感器节点中的电池充电。我们使用有关全州风分布的可用数据以及可用的风速数据来确定可以收集的能量。我们还确定了高效的能量感知算法，以确保在节点之间进行数据传输时最小化能量的使用。我们的论文提出了一种利用风能为传感器节点供电的实施方案。除了使总功耗最小化之外，目标是在网络上分配功耗，从而延长整个网络的电池寿命。我们结合各种建议的路由算法，提出了一种自适应的功率感知路由算法。我们使用（分布式能源收集感知路由）DEHAR算法实现了高效的能源管理系统，并使用Zigbee传输实现了该系统。我们还实现了同步睡眠调度，以最小化WSN中的功耗。

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