Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14578
Title: Context map for navigating the physical world
Authors: Raychoudhury, V
Cao, J 
Zhu, W
Kshemkalyani, AD
Keywords: Concurrent event detection
Context map
Searching and browsing physical world
Issue Date: 2012
Source: Proceedings - 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2012, 2012, 6169542, p. 146-153 How to cite?
Abstract: Pervasive computing environments are composed of numerous smart entities (objects and human alike) which are interconnected through contextual links in order to create a Web of physical objects. The contextual links can be based on matching context attribute-values (e.g., co-location) or social connections. We call such a Web of smart physical objects as context map. Context maps can be used for context-aware search and browse of the physical world. However, changes of dynamic context values over time may render a context map inconsistent. So, it is important to update contextual links with changes in specific context values. Given the asynchronous nature of pervasive environments, it is non-trivial to detect events generated by contextual changes in real time. We propose two algorithms for instantaneous and periodic detection of events with concurrent timing relations. Our algorithms have low time complexity and they can address the needs of different types of pervasive computing applications. We have evaluated our proposed algorithms through simulations as well as testbed experiments.
Description: 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2012, Garching, 15-17 February 2012
URI: http://hdl.handle.net/10397/14578
ISBN: 9780769546339
DOI: 10.1109/PDP.2012.51
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