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Application of Wireless Sensor Networks for Indoor Temperature Regulation

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TLDR
In this paper, a framework for indoor temperature regulation and optimization using wireless sensor networks based on ZigBee platform is proposed, which considers architectural design of the system, as well as implementation guidelines, and explores techniques for localization, such that the location of the nodes can be used by algorithms that regulate temperature settings.
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.

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Citations
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A review of Internet of Things for smart home: Challenges and solutions

TL;DR: A holistic framework which incorporates different components from IoT architectures/frameworks proposed in the literature, in order to efficiently integrate smart home objects in a cloud-centric IoT based solution is proposed.
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Accurate Wireless Sensor Localization Technique Based on Hybrid PSO-ANN Algorithm for Indoor and Outdoor Track Cycling

TL;DR: The proposed hybrid particle swarm optimization-artificial neural network (PSO-ANN) algorithm significantly improved the distance estimation accuracy more than the traditional LNSM method without additional components.
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Internet of Things Framework for Home Care Systems

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Proceedings ArticleDOI

Improving the security of wireless sensor networks in an IoT environmental monitoring system

TL;DR: This work investigated the security of WSNs in an environmental monitoring system with the goal to improve the overall security and illustrated the first sample of how an attacker can reverse engineer firmware and obtain WSN cryptographic keys.
Proceedings ArticleDOI

Enabling internet of things for smart homes through fog computing

TL;DR: This paper presents a three tier Internet of Thing based hierarchical framework for the smart home, and shows that fog computing based on predictive filters can reduce the number of transmissions and minimize smart home network traffic.
References
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Journal ArticleDOI

A survey on clustering algorithms for wireless sensor networks

TL;DR: A taxonomy and general classification of published clustering schemes for WSNs is presented, highlighting their objectives, features, complexity, etc and comparing of these clustering algorithms based on metrics such as convergence rate, cluster stability, cluster overlapping, location-awareness and support for node mobility.
Journal ArticleDOI

Editorial: wireless sensor networks

TL;DR: The state-of-the-art protocol for WSN protocol stack is explored for transport, routing, data link and physical layers, and the open research issues are discussed for each of the protocol layers.
Journal ArticleDOI

A survey on clustering algorithms for wireless sensor networks

TL;DR: This paper synthesises existing clustering algorithms news's and highlights the challenges in clustering.
Journal ArticleDOI

A Survey of Localization in Wireless Sensor Network

TL;DR: A comprehensive survey of challenges of localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network is presented.
Proceedings Article

An Adaptive Strategy for Quality-Based Data Reduction in Wireless Sensor Networks

TL;DR: This work employs an algorithm that requires no prior modeling, allowing nodes to work independently and without using global model parameters on a publicly available, real-world temperature data set, and has been able to achieve up to 92% communication reduction.
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