Wireless Sensors for Home Monitoring - A Review

Mukhopadhyay, Subhas Chandra; Gaddam, Anuroop; Gupta, Gourab Sen

doi:10.2174/1874476110801010032

Cited by 37 publications

(13 citation statements)

References 8 publications

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“…Through a review of previous researches which are summarized in Table 2, obviously, most of them supported the ZigBee wireless standard for bicycle monitoring. This protocol was most often selected as the wireless transmission technology because of its low cost [69], low power consumption [70,71], higher network elasticity, a large number of nodes [72], greater coverage area, and secure networking [73]. Bluetooth is embedded in most portable mobile phones and computers [74] and has low cost, low EM interference [75], low-power applications [76], and low complexity [77], but it has appeared in few works considered in this study.…”

Section: Advantagesmentioning

confidence: 99%

A Survey on Energy Efficient Wireless Sensor Networks for Bicycle Performance Monitoring Application

2014

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Wireless sensor networks (WSNs) have greatly advanced in the past few decades and are now widely used, especially for remote monitoring; the list of potential uses seems endless. Three types of wireless sensor technologies (Bluetooth, ZigBee, and ANT) have been used to monitor the biomechanical and physiological activities of bicycles and cyclists, respectively. However, the wireless monitoring of these activities has faced some challenges. The aim of this paper is to highlight various methodologies for monitoring cycling to provide an effective and efficient way to overcome the various challenges and limitations of sports cycling using wireless sensor interfaces. Several design criteria were reviewed and compared with different solutions for the implementation of current WSN research, such as low power consumption, long distance communications, small size, and light weight. Conclusions were drawn after observing the example of an advanced and adaptive network technology (ANT) network highlighting reduced power consumption and prolonged battery life. The power saving achieved in the slave node was 88–95% compared to the similar ANT protocol used in the medical rehabilitation.

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Section: Advantagesmentioning

confidence: 99%

A Survey on Energy Efficient Wireless Sensor Networks for Bicycle Performance Monitoring Application

2014

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“…Hence it is required to optimize the selection of the sensor nodes to reduce the redundancy which will help in minimizing cost and power. Selection of optimum number of sensors in such a wireless sensor network has been recently reported [9][10][11][12][13][14][15]. However, it has been observed from initial field testing results that some of the sensor nodes remain inactive for a sufficient period of time during which they may not be scanned by the central controller unit which can save power.…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient, Minimally Intrusive Multisensor Intelligent System For Health Monitoring Of Elderly People

Samanta

Chanda²,

RoyChaudhuri

2017

International Journal on Smart Sensing and Intelligent Systems

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Most of the existing systems for elderly health monitoring deploy a large number of cognitive sensors including wearable sensors for physiological parameter measurement. Increasing number of sensors not only make the system power consuming and expensive but also intrusive in nature. However, there exists very limited research on power saving algorithms in such systems incorporating customer friendly features. In this paper, we report a modified health monitoring system which addresses both these issues. The central controller unit has an in-built algorithm based on two level adaptive branch prediction techniques to detect the period of inactivity of sensor nodes. Further, only one wearable heart rate sensor node is included in the system which measures the heart rate and detects abnormality. The central controller signals an alarm to the user to wear this predicting the sleeping time. This makes the system minimally intrusive and user friendly. Thus the multi-sensor network consists of motion sensor, current sensor and a wearable heart rate sensor along with a central controller unit. The prototype of the whole system has been installed in the house of elderly person and it has been observed that the time of prediction was close to the actual time for more than 90% of the days for a test period of one month. An average of 68% power saving has been achieved in the modified system.Index terms : health monitoring, elderly people, multi-sensor system, power saving, minimally intrusive.

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“…Smart homes are built to monitor many purposes, one of them being for the people who need supervision in their daily lives. Extensive studies have been going on smart home for the last two decades [1] [2] [3]. Here, in our work, we have dealt with the elderly people.…”

Section: Introductionmentioning

confidence: 99%

Smart Home: Recognition of activities of elderly for 24/7; Coverage issues

Nag

Mukhopadhya

2014

International Journal on Smart Sensing and Intelligent Systems

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A smart home has been designed and developed to monitor elderly people who lives alone and needs assistance to perform their daily living activities. The system monitors different activities of the elderly and determine the wellness of the person. It is a challenge to recognize different activities of the elderly over 24 hours for the seven days a week. The coverage issues in terms of monitoring the elderly are discussed in the paper.

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Wireless Sensors for Home Monitoring - A Review

Cited by 37 publications

References 8 publications

A Survey on Energy Efficient Wireless Sensor Networks for Bicycle Performance Monitoring Application

A Survey on Energy Efficient Wireless Sensor Networks for Bicycle Performance Monitoring Application

An Energy Efficient, Minimally Intrusive Multisensor Intelligent System For Health Monitoring Of Elderly People

Smart Home: Recognition of activities of elderly for 24/7; Coverage issues

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