A Bayesian network approach to a biologically inspired motion strategy for mobile wireless sensor networks
作者： Matthew D. Coles , Djamel Azzi , Barry P. Haynes , Alan Hewitt
DOI: 10.1016/J.ADHOC.2008.11.002
关键词:
摘要: Mobility strategies for wireless sensor networks (WSNs) are presented. We introduce a grazing mobility strategy mobile WSNs, inspired by the foraging behaviour of herbivores pastures. present Bayesian network GRAZing (BNGRAZ) that implements proposed WSN strategy. BNGRAZ uses local neighbourhood information to predict coverage and connectivity performance changes related node motion characteristics. This enables implications its direction movement. implement approach in custom built simulator. The criteria considered during validation process include coverage, redundancy, connectivity, lifetime.
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