Abstract
In wireless sensor networks (WSNs) mobility plays an important role in fault detection and dissemination of decision made at each node. This paper investigates mobility factors in diagnosis modeling and analysis. A comparison-based approach is proposed as this is an effective approach to system-level fault diagnosis. A test pattern is executed at sensor nodes, and faulty sensor nodes are identified based on agreement or disagreement between the neighboring node’s results set {R i }. A mobility-aware distributed diagnosis algorithm is proposed, which ensures correct identification of hard and soft-faulty nodes in a dynamic network in presence of channel faults. Analytical and simulation results demonstrate the robustness of the work at varying degree of node mobility.
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