BodyCloud: Integration of Cloud Computing and body sensor networks

Fortino, Giancarlo; Pathan, Mukaddim; Fatta, Giuseppe Di

doi:10.1109/cloudcom.2012.6427537

Cited by 102 publications

(35 citation statements)

References 29 publications

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“…Yuriyama and Kushida in [24] propose the concept of virtual sensors by collecting different vertical application data into a single horizontal platform which can behave as a sensor node to reduce extra communication between networks. There are also sensor cloud applications in body sensor networks [25] and truck monitoring [26], etc. Although various sensor cloud schemes have been developed to increase bandwidth efficiency, the sensor nodes are usually assumed as data collecting points and there is lack of understanding of their processing capability and the potential benefits of being a computing node.…”

Section: R Elated Workmentioning

confidence: 99%

Energy Efficient Cooperative Computing in Mobile Wireless Sensor Networks

Sheng

Mahapatra

Leung

et al. 2018

IEEE Trans. Cloud Comput.

148

121

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Section: R Elated Workmentioning

confidence: 99%

Energy Efficient Cooperative Computing in Mobile Wireless Sensor Networks

Sheng

Mahapatra

Leung

et al. 2018

IEEE Trans. Cloud Comput.

148

121

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“…In contrast, SC-iPaaS investigates push-pull hybrid communication between the sensor layer and the cloud layer through the edge layer. Fortino et al study a three-tier architecture to integrate body area networks with clouds [5,7]. Yuriyama et al propose a two-tier architecture that consists of the sensor and cloud layers [23].…”

Section: Related Workmentioning

confidence: 99%

Toward Sensor-Cloud Integration as a Service: Optimizing Three-tier Communication in Cloud-integrated Sensor Networks

Phan

Suzuki

Omura³

et al. 2013

Proceedings of the 8th International Conference on Body Area Networks

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This paper proposes a cloud-integrated sensor networking architecture, called Sensor-Cloud Integration Platform as a Service (SC-iPaaS), which hosts virtualized sensors in clouds and operates physical sensors through their virtual counterparts. SC-iPaaS performs push-pull hybrid communication between three layers: cloud, edge and sensor layers. This paper formulates an optimization problem for SC-iPaaS to seek the optimal data transmission rates for individual nodes and examines evolutionary optimization with respect to multiple conflicting objectives subject to given constraints. Simulation results show that multiobjective analysis is critical in configuring and operating three-tier push-pull hybrid communication in SC-iPaaS.

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“…As a promising application of the Internet and wireless scenarios, the development of wireless body area network (WBAN) in the field of telemedicine has received more and more attention [1][2]. Because of the limited computing power and storage capacity of the WBAN, a cloud-assisted WBAN can provide more timely and intelligent medical services to the patients.…”

Section: Introductionmentioning

confidence: 99%