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Experimental assessment of the adequacy of Bluetooth for opportunistic networks

D. Contreras, M. Castro

Bluetooth ranks among the most widespread technologies in current mobile devices. One of the most promising application fields of Bluetooth is that of the so-called opportunistic networks. In order to assess the validity of Bluetooth for those scenarios we perform systematic experimental tests changing the Bluetooth discovery mode, the number of devices participating in the network (up to 20) and their roles. This discovery stage is crucial for the identification of devices in the range of the network. Our results allow to conclude that in asymmetric cases (where nodes work exclusively as masters or slaves) Bluetooth working in interlaced mode can be clearly used even in the less favorable situations. On the contrary, in opportunistic networks where the nodes must change their role from passive (being found) to active (find other nodes), the higher the size of the network the higher the times needed to remain in each inquiry, so the parameters of the devices need to be set according to the application in mind. These results help to introduce alternative strategies to overcome the lack of knowledge about the entry of devices into the network range and the number of them to be discovered. Finally, we compare the effect of performing the experiments inside a Faraday cage or in a contaminated environment and that the standard network simulator (ns-2) does not capture the complexity of the experiments.


Keywords: Opportunistic networks; Bluetooth; Discovery; Inquiry; Interference; Interlaced


Ad Hoc Networks. Volume: 25 Issue: B Pages: 444-453

JCR Impact Factor and Scopus quartile: JCR impact factor: 1.660 (2015); 3.490 (2018).

DOI reference: DOI icon 10.1016/j.adhoc.2014.08.007    

Published on paper: February 2015. Published on-line: August 2014.



Citation:
D. Contreras, M. Castro. Experimental assessment of the adequacy of Bluetooth for opportunistic networks. Ad Hoc Networks. vol. 25, no. B, pp. 444-453, February 2015. [Online: August 2014]


    Topics research:
  • *Automation, Communications and Industrial Informatics
  • *Modeling, simulation and optimization

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