DESIGN AND IMPLEMENTATION OF SESSION-BASED DIFFUSION FOR SENSOR NETWORKS
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ndltd-OhioLink-oai-etd.ohiolink.edu-ucin11480560962021-08-03T06:11:11Z DESIGN AND IMPLEMENTATION OF SESSION-BASED DIFFUSION FOR SENSOR NETWORKS BEOHAR, SHRUTI Computer Science Study of the query workload in some sensor network applications shows that querying in a sensor network environment can be relative, relative to what was sensed earlier in the network. As an experiment progresses, experimenters focus on regions of the network in which interesting information is sensed. Queries need to be targeted to these specific regions, instead of being flooded into the network. We note that there is a need to be able to steer queries to such interesting regions. We find that this can be achieved by caching the results gathered from the network within the network itself. The network sustains results for a certain period of time, which we call the session. The cached results serve as decision points and provide hints on whether forwarding a query further into the network will be beneficial. The queries that are addressed to a region are termed relative queries. Relative queries, unlike geographic queries, are not targeted to a geographic location but depend on the data sensed by queries sent earlier into the session. We describe a heterogeneous network structure consisting of certain high capacity gateway nodes that take up the responsibility for caching the data sensed by the nodes in their cluster. The gateway nodes exercise control over which relative query is forwarded to what extent in their clusters. The scheme is implemented as a diffusion filter, so it inherits the benefits built into the diffusion infrastructure. We envision the possibility of reconfiguring only specific areas of the network. This reconfiguration is localized to the area that sensed the data that triggered the change. We claim that our scheme can be used to reconfigure selected areas of the network. We present the results from experiments done with different numbers of relative queries, different values for the session period and different topologies. We conclude by describing how this work can be extended to build intelligence into the network. 2006-07-20 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1148056096 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1148056096 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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language |
English |
sources |
NDLTD |
topic |
Computer Science |
spellingShingle |
Computer Science BEOHAR, SHRUTI DESIGN AND IMPLEMENTATION OF SESSION-BASED DIFFUSION FOR SENSOR NETWORKS |
author |
BEOHAR, SHRUTI |
author_facet |
BEOHAR, SHRUTI |
author_sort |
BEOHAR, SHRUTI |
title |
DESIGN AND IMPLEMENTATION OF SESSION-BASED DIFFUSION FOR SENSOR NETWORKS |
title_short |
DESIGN AND IMPLEMENTATION OF SESSION-BASED DIFFUSION FOR SENSOR NETWORKS |
title_full |
DESIGN AND IMPLEMENTATION OF SESSION-BASED DIFFUSION FOR SENSOR NETWORKS |
title_fullStr |
DESIGN AND IMPLEMENTATION OF SESSION-BASED DIFFUSION FOR SENSOR NETWORKS |
title_full_unstemmed |
DESIGN AND IMPLEMENTATION OF SESSION-BASED DIFFUSION FOR SENSOR NETWORKS |
title_sort |
design and implementation of session-based diffusion for sensor networks |
publisher |
University of Cincinnati / OhioLINK |
publishDate |
2006 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1148056096 |
work_keys_str_mv |
AT beoharshruti designandimplementationofsessionbaseddiffusionforsensornetworks |
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1719432347664777216 |