Conference Paper

Short Distance Wireless, Dense Networks, and Their Opportunities

Univ. of California at Berkeley, Berkeley, CA, USA
DOI: 10.1109/DSD.2007.4341442 Conference: Digital System Design Architectures, Methods and Tools, 2007. DSD 2007. 10th Euromicro Conference on
Source: IEEE Xplore


Summary form only given. The availability of wireless transceivers transmitting over ranges from few microns to less than half a meter opens the door for a wide range of exciting new applications, ranging from seamless system assembly, smart surfaces, healthcare monitoring and intelligent machinery and components. However, the implementation challenges in terms of size and power for most of these applications are pushing the limits. Fortunately, by exploring the wide range of options offered to the designer, extremely small and virtually zero-power transceivers are feasible. This paper discusses the opportunities, challenges and options of short distance wireless, and illustrates the proposed techniques with several design examples. In addition, the challenges that emerge when trying to embed these nodes into very dense networks are explored. Special consideration is given to the issues of distributed synchronization, localization and robust communication.

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    ABSTRACT: Efficient allocation of channels for wireless communication in different network scenarios has become an extremely important topic of recent research. The main challenge lies in the fact that the channel allocation problem is NP-complete. Because of a maximum allowable time limit imposed in practical situations for allocation of channels, sometimes we may need to be satisfied with a near-optimal solution. In this correspondence, we present a discussion on the various challenges and approaches that have been used by different researchers to solve the problem of channel allocation taking into account different interference issues and efficient utilization of available communication channels for cellular mobile (including multimedia communication) environment and cognitive radio based networks. Copyright © 2010 John Wiley & Sons, Ltd.
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