Energy efficient model for the sensor cloud systems

K. Das, Satyabrata Das, R. K. Darji, Ananya Mishra
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引用次数: 4

Abstract

At the present time sensor is needed for many applications. A number of sensors combine to form Wireless Sensor Networks (WSN). Cloud computing is an emerging technique provides shared processing resources and data to the end user. The sensor cloud infrastructure constitutes WSN and cloud for managing physical sensors on IT infrastructure. Sensor cloud should be energy efficient as the battery in the sensor has a limited lifetime and there is requirement of more energy to run the servers. User requests are very frequent and if any user requests to access sensor network through cloud system, the request redirects to the sensor network every time which consumes more energy of the sensor. We have proposed a model in which cloud systems can predict the future sensor data and due to this, there is no need to redirect every user request to sensor network. The sensor network also uses load-balancing routing scheme, which uses different paths to route the data from sensor node to the gateway as a result all nodes are used uniformly and the network lifetime is more. There is less transmission overhead in our proposed approach due to the use prediction scheme in cloud system and the network lifetime of the sensor network is more as the variance of consumption of power of all nodes in the sensor network is less due to load balancing routing. Use of prediction scheme in cloud system and load-balancing routing in the sensor network will be the future direction of research to minimize energy consumption in the sensor cloud environment.
传感器云系统的节能模型
目前,许多应用都需要传感器。许多传感器组合在一起形成无线传感器网络(WSN)。云计算是一种新兴技术,为最终用户提供共享的处理资源和数据。传感器云基础架构由WSN和云组成,用于管理IT基础架构上的物理传感器。传感器云应该是节能的,因为传感器中的电池寿命有限,并且需要更多的能量来运行服务器。用户请求非常频繁,如果有用户通过云系统访问传感器网络,每次请求都会重定向到传感器网络,这将消耗更多的传感器能量。我们提出了一个模型,其中云系统可以预测未来的传感器数据,因此不需要将每个用户请求重定向到传感器网络。传感器网络还采用负载均衡路由方案,通过不同的路径将数据从传感器节点路由到网关,从而使所有节点得到统一使用,延长了网络的生存时间。由于采用了云系统中的使用预测方案,该方法的传输开销更小;由于负载均衡路由,传感器网络中所有节点的功耗方差更小,因此该方法的网络寿命更长。在云系统中使用预测方案,在传感器网络中使用负载均衡路由,将是传感器云环境中最小化能耗的未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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