Body Area Networks: A Survey

Chen, Min; González-Valenzuela, Sergio; Vasilakos, Athanasios V.; Cao, Huasong; Leung, Victor C. M.

doi:10.1007/s11036-010-0260-8

Cited by 1,162 publications

(637 citation statements)

References 44 publications

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“…In [16], WBAN challenges and opportunities are discussed in details regarding application areas, communication, storage, energy harvesting and compatibility issues. Another body area network survey is presented in [17]. In this survey, the focus of discussion is on WBAN intra-BAN and inter-BAN communication modeling, different hardware and devices, physical, MAC and network layer issues and energy conservation strategies.…”

Section: Multi-radio Multi-channel Mechanismmentioning

confidence: 99%

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Multi-Channel Framework for Body Area Network in Health Monitoring

Alrajeh¹,

Khan²,

Campbell³

et al. 2013

Appl. Math. Inf. Sci.

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Increasing use of wireless networks has empowered the facility of ubiquitous health monitoring especially in advanced countries. Various small devices are attached to human body forming personalized wireless body area network (WBAN). These small devices interact with each other using different radios and antennas schemes proposed by many researchers around the globe. However, most of these schemes are facing problem of inefficiency due to fading and shadowing effects. We propose a novel multi-radio multichannel framework for efficient communication among devices in WBAN. The focus of this research is to ensure energy efficient and reliable communication in WBAN.

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Section: Multi-radio Multi-channel Mechanismmentioning

confidence: 99%

“…The overall architecture is infrastructure based with star topology. The sensor nodes used are iMote2 [17] having TinyOS and follows IEEE-802.15.4 standard. The maximum range of these sensor nodes is not more than 20m with a data rate of 250kbps.…”

Section: Frameworkmentioning

confidence: 99%

Multi-Channel Framework for Body Area Network in Health Monitoring

Alrajeh¹,

Khan²,

Campbell³

et al. 2013

Appl. Math. Inf. Sci.

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“…Since the network is small-scale, asymmetric and single-hop, a star topology is suitable, which is used by most WBANs [3,5]. In a star topology there is only one master node which manages the network, as is depicted in figure 1.1.…”

Section: Chapter 2 Wireless Body Area Networkmentioning

confidence: 99%

Wake-up Receiver Based Ultra-Low-Power WBAN

Lont¹

2014

Analog Circuits and Signal Processing

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“…In [8], some interesting challenges from the network perspective are identified, while interoperability issues and recent standardization efforts are presented in [9]. On a different level, a lot of research activity has been focused on the body area domain, on the design of medical sensor devices [10] and on the main advances and challenges in the field of WBANs [11]- [14].…”

Section: Introductionmentioning

confidence: 99%

Machine-to-machine (M2M) communications for e-health applications

Kartsakli

Lalos

Antonopoulos

et al. 2015

Machine-to-Machine (M2M) Communications

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The emerging technology of Machine-to-Machine (M2M) communications is bringing a paradigm shift in healthcare delivery. A broad range of e-Health applications can be conceived, with considerable benefits for both patients and healthcare providers. Many technological challenges have to be met, however, to ensure the widespread adoption of e-Health solutions in the future. In this context, we aim to provide a comprehensive overview on M2M systems for e-Health applications from a wireless communication perspective. We provide an overview of the candidate wireless technologies that are suitable for different parts of the M2M system architecture and then show how these technologies are seamlessly integrated to provide an end-to-end e-Health solution. In particular, we discuss end-toend solution designs and testbed implementations, we present the key security and privacy challenges associated with the sensitive nature of medical data and we summarize the most recent research projects dedicated to e-Health applications. Index TermsMachine-to-Machine (M2M), e-Health, WBAN, M2M Area Network, M2M Communications Network, IEEE 802.15.6, end-to-end communications

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Body Area Networks: A Survey

Cited by 1,162 publications

References 44 publications

Multi-Channel Framework for Body Area Network in Health Monitoring

Multi-Channel Framework for Body Area Network in Health Monitoring

Wake-up Receiver Based Ultra-Low-Power WBAN

Machine-to-machine (M2M) communications for e-health applications

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