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—We discuss the use of mobility to enhance network performance for a certain class of applications in sensor networks. A major performance bottleneck in sensor networks is energy since it is impractical to replace the batteries in embedded sensor nodes post-deployment. A significant portion of the energy expenditure is attributed to communications and, in(More)
Recent research has shown that using a mobile element to collect and carry data mechanically from a sensor network has many advantages over static multihop routing. We have an implementation as well employing a single mobile element. But the network scalability and traffic may make a single mobile element insufficient. In this paper we investigate the use(More)
Computer networks have historically considered support for mobile devices as an extra overhead to be borne by the system. Recently however, researchers have proposed methods by which the network can take advantage of mobile components. We exploit mobility to develop a fluid infrastructure: mobile components are deliberately built into the system(More)
Wearable computing has long been interested by numerous research groups. Biomedical applications in Sensor Networks also attract many researchers' focuses, especially in the real-time health status monitoring field. However, the inconvenience of interconnecting sensors through wires not only induces high maintenance cost also limits freedom of human action.(More)
Computer networks have historically considered support for mobile devices as an extra overhead to be borne by the system. Recently however, researchers have proposed methods by which the network can take advantage of mobile components. We exploit mobility to develop a fluid infrastructure: mobile components are deliberately built into the system(More)
Fitness monitoring is a fundamental service in pervasive healthcare, but finding a balance between usability and privacy is a hard challenge. To lessen users' anxieties in privacy concerns, we propose a new way of identification by only utilizing imprecise biometrics and existing information. Our solution is "hassle free" because it maintains the devices'(More)
— Approximate data collection is an important mechanism for real-time and high sampling rate monitoring applications in body sensor networks, especially when there are multiple sensor sources. Unlike traditional approaches that utilize temporal or spatio-temporal correlations among the measurements of the multiple sensors observing a physical process to(More)
Overview • Scenario: • Goal: – To explore how to use body sensor networks with pervasive computing devices to support health-care applications. • Public Shared Devices: – Sensors or actuators that are embedded in our surroundings and serve as information sources. Bermuda Triangle of health care • Thousands of " handoffs " occur in hospitals every day and(More)