Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/149574
Title: The BSNOS platform : a body sensor networks targeted operating system and toolset
Authors: Ellul, Joshua
Lo, Benny
Yang, Guang-Zhong
Keywords: Body area networks (Computer networks)
Operating systems (Computers)
Wireless sensor networks
Java (Computer program language)
Compilers (Computer programs)
Issue Date: 2011-08
Publisher: International Academy, Research, and Industry Association
Citation: Ellul, J., Lo, B., & Yang, G-Z. (2011, August). The BSNOS platform: a body sensor networks targeted operating system and toolset. The Fifth International Conference on Sensor Technologies and Applications (SENSORCOMM 2011), Nice. 381-386.
Abstract: Body sensor networks face different challenges than those faced in traditional wireless sensor networks. Challenges faced include fewer, more accurate sensor nodes and an increased requirement of context awareness, however, body sensor networks are relieved from high scalability. Programming sensor networks, in general, can be a daunting task due to the limited computation, memory and energy resources available. Operating systems for wireless sensor networks have been proposed which focus on the challenges they face. We believe that an operating system and toolset which focuses primarily on the challenges and properties of body sensor networks could help ease the burden of programming body sensor network applications. In this paper, we present an operating system which is focused on facilitating body sensor network application development.
URI: https://www.um.edu.mt/library/oar/handle/123456789/149574
ISBN: 9781612081441
Appears in Collections:Scholarly Works - FacICTCS

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