Node Density Loss Resilient Report Generation Method for the Statistical Filtering Based Sensor Networks

Jin Myoung KIM  Hae Young LEE  

IEICE TRANSACTIONS on Information and Systems   Vol.E103-D    No.9    pp.2007-2010
Publication Date: 2020/09/01
Publicized: 2020/05/29
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2019EDL8163
Type of Manuscript: LETTER
Category: Information Network
false positive attacks,  node compromise,  report generation,  report endorsement,  wireless sensor networks,  

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In the statistic en-route filtering, each report generation node must collect a certain number of endorsements from its neighboring nodes. However, at some point, a node may fail to collect an insufficient number of endorsements since some of its neighboring nodes may have dead batteries. This letter presents a report generation method that can enhance the generation process of sensing reports under such a situation. Simulation results show the effectiveness of the proposed method.

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