SDCF: Sensory Data Collection Framework for Smart Building Application

Anirban Das, Suchetana Chakraborty
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引用次数: 1

Abstract

With the exponential increase in number of connected sensor devices for various smart infrastructure based applications, a huge amount of heterogeneous data are generated every moment. Data collection techniques play a crucial role in defining the application QoS. In this paper, we propose SDCF, a novel data collection framework to serve different applications used for smart building monitoring. Proposed SDCF adopts a context-aware forwarding strategy to ensure higher delivery reliability with reduced delay. The overall packet loss is much lower for SDCF as the design involves adaptive data forwarding technique coupled with data fusion. The effectiveness of the proposed routing mechanism has been established by a simulation based comparative analysis with AODV routing protocol.
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SDCF:智能建筑应用的传感数据收集框架
随着各种基于智能基础设施的应用中连接的传感器设备数量呈指数级增长,每时每刻都会产生大量的异构数据。数据收集技术在定义应用程序QoS方面起着至关重要的作用。在本文中,我们提出了一种新的数据收集框架SDCF,以服务于智能建筑监控的不同应用。本文提出的SDCF采用上下文感知转发策略,以保证更高的传输可靠性和更小的延迟。由于采用了自适应数据转发技术和数据融合技术,因此SDCF的总体丢包率要低得多。通过与AODV路由协议的仿真对比分析,验证了该路由机制的有效性。
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