A Framework for Component Selection in Collaborative Sensing Application Development

Jie Cao

doi:10.4108/icst.collaboratecom.2014.257552

A Framework for Component Selection in Collaborative Sensing Application Development

2014-01-01

2

OA

AI

Weisong Shi (Weisong Shi)

Z

Zhifeng Yu

DOI：10.4108/icst.collaboratecom.2014.257552

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Wireless sensor network-based technologies and applications have attracted a lot of attention in the past two decades because of their huge potential to change people's way of life. These applications usually need close collaboration among multiple sensors, gateways, services and end users. When developing these applications, system designers and practitioners usually face several performance requirements such as the accuracy, battery life and system reliability. Given the hard requirements in system performance, how to choose an optimal combination from various sensors, algorithms and collaborative systems to form the application is the most important problem that practitioners need to address. Ad hoc solutions were proposed in specific applications in the past; however, a general methodology that can be easily applied to future applications is lacking. In this paper, we take the challenge and propose a general framework aiming to address the component selection problem, illustrate how this framework can be applied to real life applications through a case study, and discuss challenging issues and two interesting finds from our implementation.

Keyword:

component selection

collaborative sensing

A Framework for Component Selection in Collaborative Sensing Application Development

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