Enabling technologies for wireless body area networks: A survey and outlook

Cao, Huasong; Leung, Victor C. M.; Chow, Calvin C. T.; Chan, Henry C. B.

doi:10.1109/mcom.2009.5350373

Cited by 454 publications

(237 citation statements)

References 12 publications

Supporting

Mentioning

229

Contrasting

Unclassified

Order By: Relevance

“…All uplink packets are transmitted during the CAP, no GTS slots are configured. 4 The sensors first associate with the coordinator upon receiving a beacon packet with the correct MAC address. Data packets are generated periodically, the period is varied in our experiments.…”

Section: System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Mutual interference in large populations of co-located IEEE 802.15.4 body sensor networks—A sensitivity analysis

Moravejosharieh

Willig

2016

Computer Communications

View full text Add to dashboard Cite

We consider scenarios where a large number of wireless body sensor networks (WBSN) meets at the same location, as can happen for example at sports events, and assess the impact of their mutual interference on their achievable transmission reliability. In particular, we consider several of MAC-and application parameters for a range of static and dynamic schemes for allocating WBSNs to frequencies, and determine their relative impacts on achievable performance. Our results indicate that parameters related to the MAC backoff scheme have by far the largest impact on performance, and that frequency adaptation can provide substantial performance benefits.

show abstract

Section: System Modelmentioning

confidence: 99%

“…Wireless Body Sensor Networks (WBSNs) are expected to play a pivotal role in health-related and well-being applications [1,2,3,4,5]. They are deployed to measure and collect human vital signs for diagnosis and monitoring of medical conditions or assessment of training progress.…”

Section: Introductionmentioning

confidence: 99%

Mutual interference in large populations of co-located IEEE 802.15.4 body sensor networks—A sensitivity analysis

Moravejosharieh

Willig

2016

Computer Communications

View full text Add to dashboard Cite

show abstract

“…In vivo medical devices offer a cost efficient and scalable solution along with the integration of wearable devices and help to achieve the vision of advanced pervasive healthcare, anytime and anywhere [1]. Besides healthcare, the use of in vivo-WBANs is also envisioned for many other applications such as military, athletic training, physical education, entertainment, safeguarding, and consumer electronics [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Anatomical Region-Specific In Vivo Wireless Communication Channel Characterization

Demir

Abbasi

Ankarali

et al. 2017

IEEE J. Biomed. Health Inform.

View full text Add to dashboard Cite

Abstract-In vivo wireless body area networks (WBANs) and their associated technologies are shaping the future of healthcare by providing continuous health monitoring and noninvasive surgical capabilities, in addition to remote diagnostic and treatment of diseases. To fully exploit the potential of such devices, it is necessary to characterize the communication channel which will help to build reliable and high-performance communication systems. This paper presents an in vivo wireless communication channel characterization for male torso both numerically and experimentally (on a human cadaver) considering various organs at 915 MHz and 2.4 GHz. A statistical path loss (PL) model is introduced, and the anatomical region-specific parameters are provided. It is found that the mean PL in dB scale exhibits a linear decaying characteristic rather than an exponential decaying profile inside the body, and the power decay rate is approximately twice at 2.4 GHz compared to 915 MHz. Moreover, the variance of shadowing increases significantly as the in vivo antenna is placed deeper inside the body since the main scatterers are present in the vicinity of the antenna. Multipath propagation characteristics are also investigated to facilitate proper waveform designs in the future wireless healthcare systems, and a rootmean-square (RMS) delay spread of 2.76 ns is observed. Results show that the in vivo channel exhibit different characteristics than the classical communication channels, and location dependency is very critical for accurate, reliable, and energy-efficient link budget calculations.Index Terms-Channel characterization, implants, in/on-body communication, in vivo, wireless body area networks (WBANs).

show abstract

“…In a health telemonitoring system, a WBAN is composed of a number of lightweight miniature sensors collecting vital signs, such as blood pressure, Electrocardiogram (ECG), body temperature etc. [2].…”

Section: Introductionmentioning

confidence: 99%

Stochastic Geometry Analysis of Throughput for Wireless Body Area Networks

Wang

Liu²,

Shu

et al. 2017

Adv Robot Autom

View full text Add to dashboard Cite

Wireless Body Area Network (WBAN) coexistence is a very challenging problem, resulting in very strong interference among them, which seriously affects the reliability of communication. The interference is the main performance-limiting factor in wireless networks coexistence, and therefore it is crucial to mitigated. The goal of this paper is to decrease inter-WBANs interference and to increase the transmission success probability or throughput. One of the main determinants of the interference is the network geometry distribution. In this paper, the impact of channel sensing range to IEEE 802.15.4-based coexisting WBANs is analyzed and is optimized according to the nearest node's distance. In addition, we model the system adopting the stochastic geometry Poisson point process and analyze the impact of guard zone size to networks performance. Furthermore, the throughput efficiently achieves higher through optimizing the size of guard zone. Theoretical analysis and simulation results show that the reasonable setting of the protection area can improve effectively the system throughput, and the guard zone radius has an optimal value, which can make the throughput of the network to reach the maximum value. The energy and spectral efficiency, moreover, have been improved.

show abstract

Enabling technologies for wireless body area networks: A survey and outlook

Cited by 454 publications

References 12 publications

Mutual interference in large populations of co-located IEEE 802.15.4 body sensor networks—A sensitivity analysis

Mutual interference in large populations of co-located IEEE 802.15.4 body sensor networks—A sensitivity analysis

Anatomical Region-Specific In Vivo Wireless Communication Channel Characterization

Stochastic Geometry Analysis of Throughput for Wireless Body Area Networks

Contact Info

Product

Resources

About