Abstract

Wireless sensor networks take a major part in our everyday lives by enhancing systems for home automation, healthcare, temperature control, energy consumption monitoring, and so forth. In this paper we focus on a system used for temperature regulation for residential, educational, industrial, and commercial premises, and so forth. We propose a framework for indoor temperature regulation and optimization using wireless sensor networks based on ZigBee platform. This paper considers architectural design of the system, as well as implementation guidelines. The proposed system favors methods that provide energy savings by reducing the amount of data transmissions through the network. Furthermore, the framework explores techniques for localization, such that the location of the nodes can be used by algorithms that regulate temperature settings.

Highlights

  • Wireless sensor networks (WSNs) are able to efficiently sense various parameters with high accuracy and low power consumption

  • Our work proposes a wireless sensor network framework for indoor temperature regulation (WSN-FITR)

  • ZigBee builds upon the physical layer and medium access control defined in the IEEE standard 802.15.4 (2003 version) for low-rate wireless personal area networks (WPANs)

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Summary

Introduction

Wireless sensor networks (WSNs) are able to efficiently sense various parameters with high accuracy and low power consumption. The system consists of the client part with web-based interface and MySQL database and two types of nodes: coordinator node that is responsible for data gathering and terminal nodes that measure temperature, humidity, and light intensity. This prototype application is implemented on a centralized network (utilizing a star topology). International Journal of Distributed Sensor Networks are present Both terminal and coordinator nodes use the same microcontroller, which is based on the Arduino [6] boards and XBee [7] communication modules that support the ZigBee standard.

System Architecture
ZigBee Overview and WSN-FIRT Network Topology
Localization and Clustering in Indoor WSN
Reductions of Data Transmissions
Findings
Conclusion
Full Text
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