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The Bluetooth™ 1 wireless technology is designed as a short-range connectivity solution for personal, portable, and handheld electronic devices. Since May 1998 the Bluetooth SIG has steered the development of the technology through the development of an open industry specification, including both protocols and application scenarios, and a qualification program designed to assure end-user value for Bluetooth products. This article highlights the Bluetooth wireless technology. 2

The increasing use of sensor-derived information from planned, ad-hoc, and/or opportunistically deployed sensor networks provides enhanced visibility to everyday activities and processes, enabling fast-paced datato-decision in personal, social, civilian, military, and business contexts. The value that information brings to this visibility and ensuing decisions depends on the quality characteristics of the information gathered. In this article, we highlight, refine, and extend upon our past work in the areas of quality and value of information (QoI and VoI) for sensor networks. Specifically, we present and elaborate on our two-layer QoI/VoI definition, where the former relates to context-independent aspects and the latter to context-dependent aspects of an information product. Then, we refine our taxonomy of pertinent QoI and VoI attributes anchored around a simple ontological relationship between the two. Finally, we introduce a framework for scoring and ranking information products based on their VoI attributes using the analytic hierarchy multicriteria decision process, illustrated via a simple example. ACM Reference Format:Bisdikian, C., Kaplan, L. M., and Srivastava, M. B. 2013. On the quality of information in sensor networks.

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Autonomic personal computing is personal computing on autonomic computing platforms. Its goals combine those of personal computing with those of autonomic computing. The challenge of personal autonomic computing is to simplify and enhance the end-user experience, delighting the user by anticipating his or her needs in the face of a complex, dynamic, and uncertain environment. In this paper we identify the key technologies that enable autonomic behavior as distinguished from fault-tolerant behavior. We give some examples of current autonomic behavior and some general considerations for an architecture that supports autonomic personal computing. We identify its challenges to standards and technology developers and conclude with some guidance for future work.Autonomic personal computing is defined here as personal computing on autonomic computing systems. It shares the goals of personal computingresponsiveness, ease of use, and flexibility-with those of autonomic computing-simplicity of use, availability, and security. In most cases these goals are complementary. For example, autonomic computing enhances ease of use because it eliminates or simplifies some user responsibilities. But personal computing implies flexibility of location and of the hardware and software configuration, and this complicates the job of achieving autonomic behavior. It is easier to configure, heal, optimize, and protect a system in an environment that does not change. If we can achieve autonomic behavior while still meeting the unique needs of personal computing, millions of users will benefit worldwide.The intention of this paper, then, is to identify the unique demands and opportunities of autonomic computing with personal devices. Our ground rules are that we seek to achieve autonomic behavior of a personal computing system-personal computers (PCs) and their peers, networks, and servers-not just the PC alone. We also limit our focus to application platforms, not to applications themselves. This distinction is somewhat equivocal and quantitative, however, because yesterday's applications are often tomorrow's platforms.In what follows, we first look deeper into the meaning of the autonomic attributes of personal computing, which are different from fault-tolerant attributes. We then categorize technologies as they relate to achieving autonomic behavior in different variations: within the PC, in PC communities, and in more general systems that include servers. We give some examples of the state of the art and identify missing or incomplete capabilities. We describe some general considerations for an architecture that supports autonomic personal computing, identify some issues, and suggest a direction for future research and development.

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