Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 400197
Title The design of a Bayesian Network for mobility management in Wireless Sensor Networks
Author(s) Ballari, D.E.; Wachowicz, M.
Source In: Proceedings of GIScience 2010: Sixth international conference on Geographic Information Science, Zurich, Switzerland, 14-17 September 2010. - - p. 6 - 6.
Event GIScience 2010: Sixth international conference on Geographic Information Science, Zurich, Switzerland, 2010-09-14/2010-09-17
Department(s) Laboratory of Geo-information Science and Remote Sensing
Publication type Contribution in proceedings
Publication year 2010
Abstract Mobility management functions in WSNs are mainly being developed from a ommunicational point of view, since the focus has been on maintaining the network connectivity. However, from a sensing point of view, sensor mobility has also an impact on the network spatial coverage. In mobile WSNs, the extension of the spatial coverage is often changing, and as a result, the region of interest might be inaccurately sensed by the mobile sensors. Therefore, the representation of a movement context is important to avoid making interpretations and decisions outside of the situation in which the WSN is capturing information; and make possible to decide where, when and how the sensing is performed with the most suitable spatial coverage of a region of interest. This paper proposes a Bayesian Network (BN) approach for (a) making explicit the structural and parametric components of a movement context using WSN metadata, and (b) probabilistically inferring the mobility management requirements when a WSN spatial coverage is insufficiently covering a region of interest. A controlled experiment was carried out and the results show that the BN has successfully inferred different mobility management requirements according to a given movement context. Two movement contexts have been used to illustrate this approach. They are related to whether the environmental sensing is being carried out in an emergency situation or not.
There are no comments yet. You can post the first one!
Post a comment
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.