A wireless sensor network consists of a large number of autonomous sensors capable of collecting data and collaborating to transmit information to the base station. In this work, we analyze the Packet Health fields for better decision-making. Specifically, we compare a MicaZ-Crossbow WSN consisting of two sensor nodes: one operating normally and the other in a disturbed state. We then present the Gilbert/Elliot error model, which is based on a two-state Markov chain: “good” and “bad.“

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Analyzing Packet Health in MicaZ-Crossbow WSNs and Error Detection Approach Based on the Gilbert/Elliot Model

  • Karim Lahma,
  • Mohamed Hamraoui

摘要

A wireless sensor network consists of a large number of autonomous sensors capable of collecting data and collaborating to transmit information to the base station. In this work, we analyze the Packet Health fields for better decision-making. Specifically, we compare a MicaZ-Crossbow WSN consisting of two sensor nodes: one operating normally and the other in a disturbed state. We then present the Gilbert/Elliot error model, which is based on a two-state Markov chain: “good” and “bad.“