Reliability Analysis of Wireless Sensor Network for Smart Farming Applications

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 22; p. 7683
• Main Authors: Catelani, Marcantonio, Ciani, Lorenzo, Bartolini, Alessandro, Del Rio, Cristiano, Guidi, Giulia, Patrizi, Gabriele
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 18.11.2021; MDPI
• Subjects: availability; Communication; Embedded systems; experimental design; Failure; Fault diagnosis; Fuzzy logic; Handbooks; Internet of Things; Monte Carlo simulation; precision farming; reliability; Sensors; Software; Wireless networks; wireless sensor network
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s21227683

Wireless Sensor Networks are subjected to some design constraints (e.g., processing capability, storage memory, energy consumption, fixed deployment, etc.) and to outdoor harsh conditions that deeply affect the network reliability. The aim of this work is to provide a deeper understanding about the way redundancy and node deployment affect the network reliability. In more detail, the paper analyzes the design and implementation of a wireless sensor network for low-power and low-cost applications and calculates its reliability considering the real environmental conditions and the real arrangement of the nodes deployed in the field. The reliability of the system has been evaluated by looking for both hardware failures and communication errors. A reliability prediction based on different handbooks has been carried out to estimate the failure rate of the nodes self-designed and self-developed to be used under harsh environments. Then, using the Fault Tree Analysis the real deployment of the nodes is taken into account considering the Wi-Fi coverage area and the possible communication link between nearby nodes. The findings show how different node arrangements provide significantly different reliability. The positioning is therefore essential in order to obtain maximum performance from a Wireless sensor network.