Pervasive computing: concepts, technologies and applications by Guo, Minyi; Tang, Feilong; Yao, Shen; Zhou, Jingyu

By Guo, Minyi; Tang, Feilong; Yao, Shen; Zhou, Jingyu

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6. Fault tolerance. The pervasive application requires harmonious cooperation among many hardware devices and various software components. However, hardware devices such as sensors are prone to failures, and software components can often malfunction. Both types of failures can hamper the effectiveness of pervasive applications. Thus, fault tolerance measures must be built into the system to avoid serious or fatal consequences for users. 7. Reliability. Pervasive computing systems normally are embedded in the environment not only for gathering information but also for making decisions or at least for decision support.

In recent years, new security mechanisms such as voice recognition and facial recognition have appeared for enhanced user experiences. Security is related to all other components in the middleware layer. For instance, user tracking is related to location privacy of users, and security mechanisms need to be utilized for service or resource discovery and registration. Otherwise, an active or passive intruder may gain unauthorized service, and there is a possibility that the intruder may even corrupt the system.

The spatial and temporal properties of the data, as well as different data formats, make managing context data from different sources difficult. Second, sensing data in a pervasive environment changes frequently, which can result in cascading updates among related data items. , spatial, temporal, and social) with other items. Changing a single item causes updates of related items, which in turn results in further updates. Considering the unreliable communication layer, updating data items can be a challenging task.

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