Personal Mobile Hub

Husemann, Dirk; Narayanaswami, Chandra; Nidd, Michael

doi:10.1109/iswc.2004.35

Cited by 26 publications

(13 citation statements)

References 11 publications

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“…In [23] we have validated the transmission cost of our proposed mechanisms by simulations in NS-2 [19]. Although our work is done in the context of Personal Networks, our proposals are relevant to other models [27] [28] in which constrained personal devices are networked over unreliable wireless links.…”

Section: Discussionmentioning

confidence: 99%

Securing Personal Network clusters

Jehangir

Groot

2007

2007 Third International Conference on Security and Privacy in Communications Networks and the Workshops - SecureComm 2007

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Abstract-A Personal Network is a self-organizing, secure and private network of a user's devices notwithstanding their geographic location. It aims to utilize pervasive computing to provide users with new and improved services. In this paper we propose a model for securing Personal Network clusters. Clusters are ad-hoc networks of co-located personal devices. The ad-hoc makeup of clusters, coupled with the resource constrained nature of many constituent devices, makes enforcing security a challenging task.We propose a novel way of imprinting personal devices and predeploying tickets for future authentication. Our key management framework is based on a combination of existing models, albeit modified to match the constraints and assets of Personal Networks. The mechanisms for self organization are original since they need to be tailored to our proposed security framework. All models are designed to be suitable for resource constrained devices yet robust enough for self organization and secure communication.

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Section: Discussionmentioning

confidence: 99%

Securing Personal Network clusters

Jehangir

Groot

2007

2007 Third International Conference on Security and Privacy in Communications Networks and the Workshops - SecureComm 2007

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“…AID-N presents a low power, wireless electronic triage system with multiple biomedical sensors (electrocardiogram (EKG), pulse oximeter, noninvasive BP) that yield continuous, automated, real-time patient monitoring. The AID-N architecture is described in a three-tier hierarchical healthcare architecture similar to [19], [20].…”

Section: Related Workmentioning

confidence: 99%

The Advanced Health and Disaster Aid Network: A Light-Weight Wireless Medical System for Triage

Gao

Massey

Selavo

et al. 2007

IEEE Trans. Biomed. Circuits Syst.

224

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Abstract-Advances in semiconductor technology have resulted in the creation of miniature medical embedded systems that can wirelessly monitor the vital signs of patients. These lightweight medical systems can aid providers in large disasters who become overwhelmed with the large number of patients, limited resources, and insufficient information. In a mass casualty incident, small embedded medical systems facilitate patient care, resource allocation, and real-time communication in the Advanced Health and Disaster Aid Network (AID-N). We present the design of electronic triage tags on lightweight, embedded systems with limited memory and computational power. These electronic triage tags use noninvasive, biomedical sensors (pulse oximeter, electrocardiogram, and blood pressure cuff) to continuously monitor the vital signs of a patient and deliver pertinent information to first responders. This electronic triage system facilitates the seamless collection and dissemination of data from the incident site to key members of the distributed emergency response community. The real-time collection of data through a mesh network in a mass casualty drill was shown to approximately triple the number of times patients that were triaged compared with the traditional paper triage system.

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“…Such remote monitoring and automated medical analytics are becoming increasingly plausible, thanks to recent develop ments in miniaturized physiological sensors and low-power radios, powerful handheld computing devices and almost ubiquitous wireless connectivity. A logical three-tier archi tecture [2], comprising a server for backend integration, a cellular phone/handheld device based personal gateway and a body-worn set of sensors, seems most suited to support such a remote health monitoring service.…”

Section: Introductionmentioning

confidence: 99%

MediAlly: A provenance-aware remote health monitoring middleware

Chowdhury

Falchuk²,

Misra³

2010

2010 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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This paper presents MediAlly, a middleware for supporting energy-efficient, long-term remote health monitor ing. Data is collected using physiological sensors and trans ported back to the middleware using a smart phone. The key to MediAlly's energy efficient operations lies in the adoption of an Activity Triggered Deep Monitoring (ATDM) paradigm,where data collection episodes are triggered only when the subject is determined to possess a specified context. MediAlly supports the on-demand collection of contextual provenance using a novel low-overhead provenance collection sub-system.The behaviour of this sub-system is configured using an application-defined context composition graph. The resulting provenance stream provides valuable insight while interpreting the 'episodic' sensor data streams. The paper also describes our prototype implementation of MediAlly using commercially available devices.

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Personal Mobile Hub

Cited by 26 publications

References 11 publications

Securing Personal Network clusters

Securing Personal Network clusters

The Advanced Health and Disaster Aid Network: A Light-Weight Wireless Medical System for Triage

MediAlly: A provenance-aware remote health monitoring middleware

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