Cognitive Positioning: Are We There Yet?

Call for Papers

Society is becoming increasingly mobile and automated, and people have to keep pace with changes in their environment. In particular, children, tourists, and elderly people may get lost when entering new environemnts, or when the environment changes. Workers in automation halls need to take care of staying away from potential hazards. Alternatively, intelligent machines aware of own location and the environment could diminish the threats to people nearby. In this context, navigation devices that are easy to carry, reliable, ecofriendly, and that can provide accurate, trustable, and adapted-to-the-medium location information are becoming more important. Such devices have a high potential in terms of social applications and benefits in the day-to-day life. The term ‘cognitive’ in the context of positioning can take many meanings and has only recently been investigated more thoroughly. In the traditional definition, cognitive communication approaches refer to any (adaptive) changes in the transmission parameters, such as power/frequency/modulation, so as to dynamically reuse unoccupied spectrum. Cognitive positioning refers to the process of becoming aware of the users' needs or environment's characteristics and of incorporating this knowledge into the positioning engine, with the aim to improve the positioning performance and user experience. This could be achieved at various layers, starting from PHY (e.g., cooperative positioning, adaptive hybridization according to the location awareness) and up to APP layer (e.g., identifying quantitative measures for users' wishes and converting them into design location parameters). We invite investigators to contribute original research articles addressing innovative cognitive methods able to the increase the location accuracy, availability, and reliability in mobile devices as well as decreasing power consumption. Potential topics include, but are not limited to:

  • Cognitive layers (from PHY to APP) for positioning
  • Cognitive basics, such as pattern recognition/bioinspired schemes for location
  • Optimized power allocation and cognitive entropy for positioning
  • Signals of opportunity: cooperative positioning
  • Cognitive indicators based on user surveys on LBS and users' location preferences
  • Cognitive positioning architectures/hybridization approaches

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ijno/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:

Manuscript DueFriday, 27 April 2012
First Round of ReviewsFriday, 20 July 2012
Publication DateFriday, 14 September 2012

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