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Special Issue "Sensors for Home Automation and Security"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (28 February 2017)

Special Issue Editors

Lead Guest Editor
Prof. Dr. Subhas Chandra Mukhopadhyay

Department of Engineering, Macquarie University, NSW 2109, Australia
Website | E-Mail
Phone: +61-2-9850-6510
Fax: +61-2-9850-9128
Interests: smart sensors; sensors modeling; sensor networks; GMR sensor; wireless sensor networks; internet of things
Co-Guest Editor
Dr. Hemant Ghayvat

School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand
Website | E-Mail
Interests: smart home and building; sensor networks; wireless sensor networks; internet of things
Co-Guest Editor
Prof. Dr. Nagender Kumar Suryadevara

Department of Computer Science and Engineering, Geethanjali College of Engineering and Technology, Cheeryal (V) Keesara, R.R.Dist, Hyderabad, Telangana, India, 501301
Website | E-Mail
Phone: +91 8500118379
Interests: data mining; artificial intelligence; computing in mathematics; natural science; engineering and medicine

Special Issue Information

Dear Colleagues,

The Wireless home automation and security system model existed in the past, but, in the last decade, due to the prompt development of wireless sensing technologies, a large number of various types of “smart homes” have been developed. Smart homes domain, as a part of home automation and security, are needed to be intelligent and context-aware. The major wireless technologies used to implement these systems include Z-Wave, Insteon, Wavenis, Bluetooth, WiFi, and ZigBee. Numbers of equivalent names are used for the smart home system, e.g., home monitoring, home automation and security, assistive living system, intelligent home and smart home. A system controller, house extensive wiring network, heterogeneous sensors, communication protocols, standard interfaces (outlet designs) for joining other products, and basic user controls are the elements of the smart home system.

Smart homes are not only limited to just turning on and off a device but also monitor the internal environment and the activities that take place while the house is occupied. The outcome of these amendments to the technology is that a smart home can now monitor the happenings of the occupant. Moreover, they individually operate devices on a set of predefined patterns, or independently, as the user requires. Taking into consideration the recent developments in home technology, smart home automation can be explained as an implementation of pervasive computing and sensing. This smart home technology is capable of delivering context-aware, automated and assistive services to home monitoring and remote control. Ambient Assisted Living (AAL) is one of the smart home applications, which comprises interoperable concepts, products, and services, which integrate new information and communication technologies (ICT) and home environments with the aim to improve and enhance the quality of life for people in all stages of life.

This Special Issue aims to publish original, significant and visionary papers describing scientific methods and technologies that improve efficiency, productivity, quality and reliability in all areas of wireless home automation and security. This Special Issue will provide a broad platform for publishing the many rapid advances that have been currently achieved in the area of wireless home automation and security. In this Special Issue we would like to focus on understanding what should be done to improve the sensing awareness to human. Submissions of scientific results from experts in academia and industry worldwide are strongly encouraged.

Contributions may include, but are not limited to:

  • Intelligent sensors and actuators for homes, buildings and infrastructures
  • Real-time control and optimization 
  • Distributed, networked and collaborative systems
  • Big data and real-time data processing
  • Wireless Communication protocols and implementation
  • Modelling and analysis of physical components and environment
  • Modelling, analysis and integration of human activities
  • Energy efficiency in homes, buildings and infrastructures
  • Practical deployment and case studies
  • Anomaly detection in smart home environment
  • Innovative wireless sensing and computing systems or prototypes
  • Innovative use of smartphones or mobile tablets for smart homes
  • Cloud-based data processing for human-awareness in home automation
  • IOT and cloud computing for Smart environment
  • Real-time and semantic web services

Prof. Dr. Subhas Mukhopadhyay
Guest Editor

Dr. Hemant Ghayvat
Prof. Dr. Nagender Kumar Suryadevara
Co-Guest Editors

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs).

Keywords

  • Smat Home
  • Smart Building
  • Wireless Sensor Networks
  • Home Automation
  • Security

Published Papers (6 papers)

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Research

Open AccessArticle Off the Shelf Cloud Robotics for the Smart Home: Empowering a Wireless Robot through Cloud Computing
Sensors 2017, 17(3), 525; doi:10.3390/s17030525
Received: 25 November 2016 / Revised: 24 February 2017 / Accepted: 24 February 2017 / Published: 6 March 2017
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Abstract
In this paper, we explore the possibilities offered by the integration of home automation systems and service robots. In particular, we examine how advanced computationally expensive services can be provided by using a cloud computing approach to overcome the limitations of the hardware
[...] Read more.
In this paper, we explore the possibilities offered by the integration of home automation systems and service robots. In particular, we examine how advanced computationally expensive services can be provided by using a cloud computing approach to overcome the limitations of the hardware available at the user’s home. To this end, we integrate two wireless low-cost, off-the-shelf systems in this work, namely, the service robot Rovio and the home automation system Z-wave. Cloud computing is used to enhance the capabilities of these systems so that advanced sensing and interaction services based on image processing and voice recognition can be offered. Full article
(This article belongs to the Special Issue Sensors for Home Automation and Security)
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Open AccessArticle Novel Hierarchical Fall Detection Algorithm Using a Multiphase Fall Model
Sensors 2017, 17(2), 307; doi:10.3390/s17020307
Received: 24 November 2016 / Revised: 26 January 2017 / Accepted: 3 February 2017 / Published: 8 February 2017
PDF Full-text (2021 KB) | HTML Full-text | XML Full-text
Abstract
Falls are the primary cause of accidents for the elderly in the living environment. Reducing hazards in the living environment and performing exercises for training balance and muscles are the common strategies for fall prevention. However, falls cannot be avoided completely; fall detection
[...] Read more.
Falls are the primary cause of accidents for the elderly in the living environment. Reducing hazards in the living environment and performing exercises for training balance and muscles are the common strategies for fall prevention. However, falls cannot be avoided completely; fall detection provides an alarm that can decrease injuries or death caused by the lack of rescue. The automatic fall detection system has opportunities to provide real-time emergency alarms for improving the safety and quality of home healthcare services. Two common technical challenges are also tackled in order to provide a reliable fall detection algorithm, including variability and ambiguity. We propose a novel hierarchical fall detection algorithm involving threshold-based and knowledge-based approaches to detect a fall event. The threshold-based approach efficiently supports the detection and identification of fall events from continuous sensor data. A multiphase fall model is utilized, including free fall, impact, and rest phases for the knowledge-based approach, which identifies fall events and has the potential to deal with the aforementioned technical challenges of a fall detection system. Seven kinds of falls and seven types of daily activities arranged in an experiment are used to explore the performance of the proposed fall detection algorithm. The overall performances of the sensitivity, specificity, precision, and accuracy using a knowledge-based algorithm are 99.79%, 98.74%, 99.05% and 99.33%, respectively. The results show that the proposed novel hierarchical fall detection algorithm can cope with the variability and ambiguity of the technical challenges and fulfill the reliability, adaptability, and flexibility requirements of an automatic fall detection system with respect to the individual differences. Full article
(This article belongs to the Special Issue Sensors for Home Automation and Security)
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Open AccessArticle A Novel Physical Layer Assisted Authentication Scheme for Mobile Wireless Sensor Networks
Sensors 2017, 17(2), 289; doi:10.3390/s17020289
Received: 22 November 2016 / Revised: 25 January 2017 / Accepted: 26 January 2017 / Published: 4 February 2017
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Abstract
Physical-layer authentication can address physical layer vulnerabilities and security threats in wireless sensor networks, and has been considered as an effective complementary enhancement to existing upper-layer authentication mechanisms. In this paper, to advance the existing research and improve the authentication performance, we propose
[...] Read more.
Physical-layer authentication can address physical layer vulnerabilities and security threats in wireless sensor networks, and has been considered as an effective complementary enhancement to existing upper-layer authentication mechanisms. In this paper, to advance the existing research and improve the authentication performance, we propose a novel physical layer assisted authentication scheme for mobile wireless sensor networks. In our proposed scheme, we explore the reciprocity and spatial uncorrelation of the wireless channel to verify the identities of involved transmitting users and decide whether all data frames are from the same sender. In our proposed scheme, a new method is developed for the legitimate users to compare their received signal strength (RSS) records, which avoids the information from being disclosed to the adversary. Our proposed scheme can detect the spoofing attack even in a high dynamic environment. We evaluate our scheme through experiments under indoor and outdoor environments. Experiment results show that our proposed scheme is more efficient and achieves a higher detection rate as well as keeping a lower false alarm rate. Full article
(This article belongs to the Special Issue Sensors for Home Automation and Security)
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Open AccessArticle Novel Visual Sensor Coverage and Deployment in Time Aware PTZ Wireless Visual Sensor Networks
Sensors 2017, 17(1), 64; doi:10.3390/s17010064
Received: 11 November 2016 / Revised: 26 December 2016 / Accepted: 28 December 2016 / Published: 30 December 2016
PDF Full-text (3189 KB) | HTML Full-text | XML Full-text
Abstract
In this paper, we consider the visual sensor deployment algorithm in Pan-Tilt-Zoom (PTZ) Wireless Visual Sensor Networks (WVSNs). With PTZ capability, a sensor’s visual coverage can be extended to reduce the number of visual sensors that need to be deployed. The coverage zone
[...] Read more.
In this paper, we consider the visual sensor deployment algorithm in Pan-Tilt-Zoom (PTZ) Wireless Visual Sensor Networks (WVSNs). With PTZ capability, a sensor’s visual coverage can be extended to reduce the number of visual sensors that need to be deployed. The coverage zone of a visual sensor in PTZ WVSN is composed of two regions, a Direct Coverage Region (DCR) and a PTZ Coverage Region (PTZCR). In the PTZCR, a visual sensor needs a mechanical pan-tilt-zoom operation to cover an object. This mechanical operation can take seconds, so the sensor might not be able to adjust the camera in time to capture the visual data. In this paper, for the first time, we study this PTZ time-aware PTZ WVSN deployment problem. We formulate this PTZ time-aware PTZ WVSN deployment problem as an optimization problem where the objective is to minimize the total visual sensor deployment cost so that each area is either covered in the DCR or in the PTZCR while considering the PTZ time constraint. The proposed Time Aware Coverage Zone (TACZ) model successfully captures the PTZ visual sensor coverage in terms of camera focal range, angle span zone coverage and camera PTZ time. Then a novel heuristic, called Time Aware Deployment with PTZ camera (TADPTZ) algorithm, is proposed to solve the problem. From our computational experiments, we found out that TACZ model outperforms the existing M coverage model under all network scenarios. In addition, as compared to the optimal solutions, the TACZ model is scalable and adaptable to the different PTZ time requirements when deploying large PTZ WVSNs. Full article
(This article belongs to the Special Issue Sensors for Home Automation and Security)
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Open AccessArticle A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network
Sensors 2017, 17(1), 69; doi:10.3390/s17010069
Received: 27 September 2016 / Revised: 13 December 2016 / Accepted: 27 December 2016 / Published: 30 December 2016
PDF Full-text (3159 KB) | HTML Full-text | XML Full-text
Abstract
Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to
[...] Read more.
Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to the internet. Hence, major challenges of WSNs include: (i) how to efficiently utilize small size and low-power nodes to implement security during data transmission among several sensor nodes; (ii) how to resolve security issues associated with the harsh and complex environmental conditions during data transmission over a long coverage range. In this study, a secure IoT-based smart home automation system was developed. To facilitate energy-efficient data encryption, a method namely Triangle Based Security Algorithm (TBSA) based on efficient key generation mechanism was proposed. The proposed TBSA in integration of the low power Wi-Fi were included in WSNs with the Internet to develop a novel IoT-based smart home which could provide secure data transmission among several associated sensor nodes in the network over a long converge range. The developed IoT based system has outstanding performance by fulfilling all the necessary security requirements. The experimental results showed that the proposed TBSA algorithm consumed less energy in comparison with some existing methods. Full article
(This article belongs to the Special Issue Sensors for Home Automation and Security)
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Open AccessArticle Compound Event Barrier Coverage in Wireless Sensor Networks under Multi-Constraint Conditions
Sensors 2017, 17(1), 25; doi:10.3390/s17010025
Received: 2 November 2016 / Revised: 12 December 2016 / Accepted: 20 December 2016 / Published: 24 December 2016
PDF Full-text (1277 KB) | HTML Full-text | XML Full-text
Abstract
It is important to monitor compound event by barrier coverage issues in wireless sensor networks (WSNs). Compound event barrier coverage (CEBC) is a novel coverage problem. Unlike traditional ones, the data of compound event barrier coverage comes from different types of sensors. It
[...] Read more.
It is important to monitor compound event by barrier coverage issues in wireless sensor networks (WSNs). Compound event barrier coverage (CEBC) is a novel coverage problem. Unlike traditional ones, the data of compound event barrier coverage comes from different types of sensors. It will be subject to multiple constraints under complex conditions in real-world applications. The main objective of this paper is to design an efficient algorithm for complex conditions that can combine the compound event confidence. Moreover, a multiplier method based on an active-set strategy (ASMP) is proposed to optimize the multiple constraints in compound event barrier coverage. The algorithm can calculate the coverage ratio efficiently and allocate the sensor resources reasonably in compound event barrier coverage. The proposed algorithm can simplify complex problems to reduce the computational load of the network and improve the network efficiency. The simulation results demonstrate that the proposed algorithm is more effective and efficient than existing methods, especially in the allocation of sensor resources. Full article
(This article belongs to the Special Issue Sensors for Home Automation and Security)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Bluetooth Low Power Modes applied to the Data Transportation Network in Home Automation Systems
Author: Josu Etxaniz  (josu.etxaniz@ehu.eus)
Affiliation: Department of Electronic Technology, University of the Basque Country, Spain
Abstract: Even though the home automation is a well-known research and development area, recent technological improvements in so different areas as context recognition, sensing, wireless communications or embedded systems have boosted the wireless Smart Homes.
This paper focuses on some of those areas related to Home Automation. Specifically, the paper draws the attention to wireless communications issues on embedded systems. Specifically, the paper puts together the multi-hop networking with Bluetooth technology and the latency, as a quality of service (QoS) metric.
Bluetooth is a worldwide standard that provides low power multi-hop networking. It is a radio license free technology and establishes point-to-point and point-to-multipoint links, known as piconets, or multi-hop networks, known as scatternets. This way, many Bluetooth nodes can be interconnected to deploy ambient intelligent networks.
This paper introduces the research on multi-hop latency done with park and sniff low power modes of Bluetooth over the test platform developed. Besides, an empirical model is obtained to calculate the latency of Bluetooth multi-hop communications over asynchronous links when links in scatternets are always in sniff or park mode. Smart home devices and networks designers will take advantage of the models and the estimation of the delay they provide in communications along Bluetooth multi-hop networks.

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