Tanbir Hassan

An efficient node deployment method for indoor passive localisation

International Journal of Ad Hoc and Ubiquitous Computing, 2019

Most existing studies on device-free indoor localisation aim to improve localisation performance ... more Most existing studies on device-free indoor localisation aim to improve localisation performance by deploying a large number of sensor nodes in indoor environments, thereby resulting in high hardware cost, more energy consumption and other drawbacks. This paper proposes a wrapper, heuristic and sensor-based node deployment method, which reduces the number of deployed sensors while achieving a high localisation accuracy by selecting the fittest link feature subset in localisation datasets. The performance results reveal that the proposed method outperforms existing work in terms of the number of deployed nodes, consequently can greatly thin out the extra nodes, shorten the localisation response time and save energy. Furthermore, the method can easily adjust the number of specific nodes by flipping the coefficient ratio of transmitters and receivers in the fitness function.

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Node deployment mechanism for quick, indoor, and device-free localization: poster abstract

Information Processing in Sensor Networks, Apr 11, 2016

Radio frequency based device-free passive localization has been actively studied. An important is... more Radio frequency based device-free passive localization has been actively studied. An important issue with this technique is that a large amount of sensor nodes are usually deployed in localization environments, causing high deployment cost, high computation complexity and other drawbacks. To reduce the number of nodes while maintaining high localization accuracy, this paper proposes a fingerprint-based node deployment mechanism, which saves hardware cost, speeds up node deployment process as well as maintains a similar accuracy. The experiments are conducted in two environments with considerably different sizes of 150 m2 and 25 m2. Maintaining the accuracies above 95%, the proposed mechanism can efficiently reduce the total number of nodes in large room by 54.55% and in small room by 68.75%. Especially, the localization response time sharply reduces by 93.08% in the large room and 79.87% in the small room.

Monitoring Thermal Comfort with IoT Technologies: A Pilot Study in Chinese Eldercare Centers

Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment, 2018

Thermal comfort is important for people’s life, especially for those living in eldercare centers.... more Thermal comfort is important for people’s life, especially for those living in eldercare centers. To study this topic, researchers have used survey and mathematical models to assess the thermal comfort of elders. More recently, some researchers started to explore using Building Information Modeling with data collected offline using sensors. With the wide adoption of IoT technologies, we propose to use an IoT system that could combine sensing data directly with the Building Information Modeling tools and monitor the thermal comfort for elders in eldercare centers in a real time manner. In addition to the objective measurements offered by IoT technologies, we also conducted site measurement and survey to collect background information of elderly residents including physiology, activity, age and cognitive perception and site information of eldercare centers including accessibility and number of elders. Harmonizing these information with the classic Predicted Mean Vote model enables us to conduct a pilot study in eldercare centers in Hefei, China.

A pilot study monitoring the thermal comfort of the elderly living in nursing homes in Hefei, China, using wireless sensor networks, site measurements and a survey

Indoor and Built Environment, 2019

Due to the rapid growth of the ageing population and the shrinking of family size in China, there... more Due to the rapid growth of the ageing population and the shrinking of family size in China, there has been a steady increase in the demand for nursing homes. The Chinese government has encouraged the development of nursing homes. However, there is no clear understanding of the thermal environment of nursing homes and the thermal comfort of their residents. Therefore, this paper describes a pilot study that was undertaken to investigate the thermal comfort of senior residents living in nursing homes. A wireless sensor network system was developed to continuously monitor the thermal environment of nursing homes for an entire year. Site measurements and a questionnaire also were conducted. The results revealed significant seasonal variations in the thermal environment of nursing homes and in the thermal comfort, thermal sensation and adaptive behaviours of older adults. The calculation of thermal comfort was modified according to the older adults’ behaviour patterns. The knowledge acqu...

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The Role of the Internet of Things (IoT) and Wireless Sensor Network (WSN) in Healthcare

International Journal of Engineering Trends and Technology, 2019

A Pilot Study on a Smart Home for Elders Based on Continuous In-Home Unobtrusive Monitoring Technology

HERD: Health Environments Research & Design Journal, 2019

Purpose: This article reports on a pilot study of a smart home for elders (SHfE) designed to cont... more Purpose: This article reports on a pilot study of a smart home for elders (SHfE) designed to continuously monitor senior adults’ daily behaviors and the living environment of their residential homes using the application of unobtrusive sensors. SHfE users include older adults, their family members, and healthcare staff. Background: Globally, countries are experiencing the challenges of an increasingly aging population. A healthy environment is essential to support aging in place. By applying information and communications technology to building environments to support health, smart homes may be an option to provide a low-cost, comfortable, and user-friendly living environment for older adults. Method: A pilot study was conducted in a capital city in the Yangtze River Delta Agglomerations in China to verify the feasibility of the SHfE. One female older adult participated in the pilot study, which was conducted from November 2015 to January 2016. Results: The results indicated that th...

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An Efficient Node Deployment Method for Indoor Passive Localization

International Journal of Ad Hoc and Ubiquitous Computing, 2017

Most existing studies on device-free indoor localisation aim to improve localisation performance ... more Most existing studies on device-free indoor localisation aim to improve localisation performance by deploying a large number of sensor nodes in indoor environments, thereby resulting in high hardware cost, more energy consumption and other drawbacks. This paper proposes a wrapper, heuristic and sensor-based node deployment method, which reduces the number of deployed sensors while achieving a high localisation accuracy by selecting the fittest link feature subset in localisation datasets. The performance results reveal that the proposed method outperforms existing work in terms of the number of deployed nodes, consequently can greatly thin out the extra nodes, shorten the localisation response time and save energy. Furthermore, the method can easily adjust the number of specific nodes by flipping the coefficient ratio of transmitters and receivers in the fitness function.

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Redundancy reduction for indoor device-free localization

Personal and Ubiquitous Computing, 2016

To improve localization accuracy, device-free passive localization studies usually deploy a numbe... more To improve localization accuracy, device-free passive localization studies usually deploy a number of sensor nodes in indoor environments, which causes redundant features and produces large data volumes and high deployment costs. This paper proposes the concept of a two-level redundancy and formulates the node reduction problem as a redundancy control problem. With the goal of using fewer nodes while maintaining high localization accuracy, a method is proposed to control the two-level redundancy efficiently and reduce the number of nodes greatly. Experiments are performed in two completely different environments. The proposed method is able to maintain accuracy levels above 90% and can efficiently reduce the total number of nodes by 59.09% in a large room (150 m 2) and by 68.75% in a small room (25 m 2). Furthermore, due to reduced nodes the proposed method can drastically reduce the needed amount of localization data and the hardware costs.

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Poster Abstract: Node Deployment Mechanism for Quick, Indoor, and Device-Free Localization

2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2016

Radio frequency based device-free passive localization has been actively studied. An important is... more Radio frequency based device-free passive localization has been actively studied. An important issue with this technique is that a large amount of sensor nodes are usually deployed in localization environments, causing high deployment cost, high computation complexity and other drawbacks. To reduce the number of nodes while maintaining high localization accuracy, this paper proposes a fingerprint-based node deployment mechanism, which saves hardware cost, speeds up node deployment process as well as maintains a similar accuracy. The experiments are conducted in two environments with considerably different sizes of 150 m2 and 25 m2. Maintaining the accuracies above 95%, the proposed mechanism can efficiently reduce the total number of nodes in large room by 54.55% and in small room by 68.75%. Especially, the localization response time sharply reduces by 93.08% in the large room and 79.87% in the small room.

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