Traffic models for medical wireless sensor networks

Messier, Geoffrey G.; Finvers, I.G.

doi:10.1109/lcomm.2007.061291

Cited by 44 publications

(15 citation statements)

References 6 publications

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“…This means that the direction of the data is definitely known in the sensor network, the information from the data collectors (terminals) is sent to the information storage and processing nodes by using existing routers of the network. The capacity of data traffic near coordinator node is much higher than in the distant points [7].…”

Section: Introductionmentioning

confidence: 95%

Coordinator Role Mobility Method for Increasing the Life Expectancy of Wireless Sensor Networks

Jurenoks

Jokićb

2017

Applied Computer Systems

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-The general problem of wireless sensor network nodes is the low-power batteries that significantly limit the life expectancy of a network. Nowadays the technical solutions related to energy resource management are being rapidly developed and integrated into the daily lives of people. The energy resource management systems use sensor networks for receiving and processing information during the realia time. The present paper proposes using a coordinator role mobility method for controlling the routing processes for energy balancing in nodes, which provides dynamic network reconfiguration possibilities. The method is designed to operate fully in the background and can be integrated into any exiting working system.

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Section: Introductionmentioning

confidence: 95%

Coordinator Role Mobility Method for Increasing the Life Expectancy of Wireless Sensor Networks

Jurenoks

Jokićb

2017

Applied Computer Systems

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“…Correct WSN design depends on accurate traffic models. The traffic models are used in selecting the correct routing and MAC protocols for the network [1]. An approach which provides high end security for the patient's sensitive physiological data and assures maximum privacy for the patients is proposed.…”

Section: Applications Of Wbansmentioning

confidence: 99%

Survey on Efficient Certificateless Access Control for Wireless Body Area Networks

Viju¹

2017

ijecs

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Abstract-Recent developments and advances in the field of wireless communication has led to the discovery of Wireless Body Area Networks (WBANs). The wearable computing devices made it easy to monitor the health issues of patients. The WBANs are widely used taking into account its numerous advantages. Many publications are available mentioning the various challenges of WBANs. In this paper, a survey is performed on the current state-of-art of WBANs based on the latest standards and publications. Open issues and challenges within each area are also explored as a source of inspiration towards future developments in WBANs.

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“…NUS group studies the architecture of BodyNets and proposes their own architecture [12]. More research works have also been conducted on the BodyNet adaptability, self-organization, middle-ware, signal processing, system reliability and healthcare and monitoring [12][13][14][15]. There are also some promising BodyNet research projects such as CodeBlue [16], MobiHealth [17], MIThril [18] and MyHeart [13].…”

Section: Background and Related Workmentioning

confidence: 99%

CardioSentinal: A 24-hour Heart Care and Monitoring System

Gao¹,

Zhang²,

Ni³

et al. 2012

Journal of Computing Science and Engineering

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People are willing to spend more for their health. Traditional medical services are hospital-centric and patients obtain their treatments mainly at the clinics or hospitals. As people age, more medical services are needed to exceed the potentials of this hospital-centric service model. In this paper, we present the design and implementation of CardioSentinal, a 24-hour heart care and monitoring system. CardioSentinal is designed for in-home and daily medical services. It mainly focuses on the outpatients and elderly. CardioSentinal is an interdisciplinary system that integrates recent advances in many fields such as bio-sensors, small-range wireless communications, pervasive computing, cellular networks and modern data centers. We conducted numerous clinic trials for CardioSentinal. Experimental results show that the sensitivity and accuracy are quite high. It is not as good as the professional measurements in hospital due to harsh environments but the system provides valuable information for heart diseases with low-cost and extreme convenience. Some early experiences and lessons in the work will also be reported.

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Traffic models for medical wireless sensor networks

Cited by 44 publications

References 6 publications

Coordinator Role Mobility Method for Increasing the Life Expectancy of Wireless Sensor Networks

Coordinator Role Mobility Method for Increasing the Life Expectancy of Wireless Sensor Networks

Survey on Efficient Certificateless Access Control for Wireless Body Area Networks

CardioSentinal: A 24-hour Heart Care and Monitoring System

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