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Toward Integrated Real-World Sensing Environment — Applications and Challenges

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Theoretical Aspects of Distributed Computing in Sensor Networks
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Abstract

Growing popularity of wireless sensor network (WSN) applications and machine-to-machine (M2M) communication has recently led to emergence of a new class of network traffic. The communication between things introduces network traffic characteristics very different from traditional human-centric communication. As more WSN and M2M services are expected to use mobile network as a backhaul, it is important to understand the impact that their traffic will have on the radio access network. WCDMA radio access networks are dimensioned using traffic models containing traffic characteristics for a number of services offered by the operators and their networks today. In this chapter, the potential capacity impact of several selected sensor-based applications on the WCDMA radio access network, both dedicated and common channels, is presented. The results thus far have shown that currently 3G mobile networks can successfully cope with the new WSN traffic. With the increase of WSN traffic, optimizations of protocols and solutions will be required and radio bearer mapping can be a deciding factor in determining the size of the radio access network and the required resources.

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Correspondence to Srdjan Krco .

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Krco, S., Wrona, K. (2011). Toward Integrated Real-World Sensing Environment — Applications and Challenges. In: Nikoletseas, S., Rolim, J. (eds) Theoretical Aspects of Distributed Computing in Sensor Networks. Monographs in Theoretical Computer Science. An EATCS Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14849-1_27

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  • DOI: https://doi.org/10.1007/978-3-642-14849-1_27

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