Special Issue "Smart Homes: Current Status and Future Possibilities"
A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).
Deadline for manuscript submissions: 31 October 2017
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 501301, India
Website | E-Mail
Interests: data mining; artificial intelligence; computing in mathematics; natural science; engineering and medicine
Smart Homes are the building blocks of Smart Cities under the theme of Internet of Things. In the most recent decade, advances in remote detecting innovation frameworks have led to an expansive number of different sorts of “Smart Homes”. The Smart Home is an integration system made of about three important entities: Firstly, the physical components (smart sensors and electronic gadgets); Secondly, the communication system (significant wireless advances used to actualize the frameworks using Z-Wave, Insteon, Wavenis, Bluetooth, WiFi, and ZigBee); Thirdly, the information processing through artificial intelligence programs (machine learning and data mining). Numerous proportional names are utilized for the savvy home framework, e.g., home observation, home computerization, assisted living framework, wise home etc.
The current advances in home computerization contribute towards achieving risk-free sheltered living as well as comfortable real life settings for the residential home environment. The Ubiquitous Monitoring systems might be more readily adopted by the residents if the monitoring systems were designed and developed as a custom-made tool. Ambient Assisted Living (AAL) is one of the brilliant home applications, which contains interoperable ideas, items, and administrations, which coordinate new data and correspondence advances and home situations with the aim of increasing the personal satisfaction of individuals in all phases 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 Ambient Assisted Living. This Special Issue will provide a broad platform for publishing the many rapid advances that have been achieved to date in the area of wireless home automation and Ambient Assisted Living. In this Special Issue, we would like to focus on understanding what should be done to improve humans’ sensing awareness. 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 the environment
- Modelling, analysis and integration of human activities
- Energy efficiency in homes, buildings and infrastructures
- Practical deployment and case studies
- Anomaly detection in the 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
- Internet of Things (IOT) and cloud computing for the smart environment
- Real-time and semantic web services
Prof. Dr. Subhas Chandra Mukhopadhyay
Prof. Dr. Nagender Kumar Suryadevara
Manuscript Submission Information
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. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short 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 thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed open access quarterly 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 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Smart Home
- Wireless Sensor Networks
- Ambient Assisted Living Environment
- Home Monitoring System
- Home Appliances
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.
Authors: Anand Paul 1, Faisal Saeed 1, Abdul Rehman 1, Hong Won Hwa 2, Hyuncheol Seo 2
Affiliation: 1 The school of Computer Science and Engineering, Kyungpook National University
2 School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu, South Korea
Abstract: Fire generally occurs in house due to human carelessness and change in air conditions. They cause threats to the residential community and may result in human death and property damage. Consequently, house fires must be detected early to prevent greater damages. Immediate notification of the fire is the most critical issue in domestic fire detection systems. WSN can provide real-time fire detection with high accuracy. In this paper we proposed three methods to detect fire on early stage with the help of neighboring sensor if the particular sensor fails to detect the fire. First we proposed multi-sensors network, those multiple-sensors in one house or building work as a cluster and Second method is multi sensors network connected in a mesh ,if any sensor is inactive then the nearest sensor will help to generate alarm. The last one method that is our ultimate objective is to use uni-functional single sensor that is having some sensing problem, to immediate action we used probabilistic method to detect fire region and generate alarm. Our probability based statistical analysis proved to be very effective early detection of fire as well as warning through cloud based IoT.
Keywords: Fire detection; Multi-sensors; uni-functional.