BSN MIDDLEWARE Abstracting Resources to Human Models

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Pedro Brandao (Author) FCUP; Jean Bacon (Author) Other

Conference proceedings International

Title: HEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics

Pages: 245-250

Proceedings of the Second International Conference on Health Informatics, HEALTHINF 2009, Porto, Portugal, January 14-17, 2009

Oporto Portugal, JAN 14-17, 2009

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-007-TVW

Abstract (EN): In the sensor network area, BSNs encompass a particular set of restrictions and conditions that separate them from normal WSNs. More so than WSNs, BSNs would profit from different types of sensing information and the sensor network itself provides more opportunities for different applications to use the same resources. However, the heterogeneity of sensor HW devices and the myriad of different applications that try to use them are an obstacle to its development. A problem is the need to address specific characteristics of the HW without abstractions that 1) provide the freedom to access the needed information while 2) complying to a set of requirements and 3) optimizing resource usage according to a set of metrics. We propose a middleware approach for abstracting lower level details from applications. We enrich the approach by building models in the middle layer fed with data from the sensor network and query-able from the application layer. Furthermore: a) applications should be able to set requirements to be met in providing the information, b) several applications should be able to share the same resources, c) the resources should be optimized so as to meet the requirements and prolong the lifetime of the BSN.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6