ArticleSensors (Basel, Switzerland)2021
Reliability Analysis of Wireless Sensor Network for Smart Farming Applications.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- Performance modeling and optimization of a smart sensor-based Hydroponic system using PSO and Genetic algorithms.Scientific reports · 2026Article
- Intelligent cloud-based RAS management: integration of DDPG reinforcement learning with AWS IoT for optimized aquaculture production.Scientific reports · 2026Article
- On the Reliability of Wireless Sensor Networks with Multiple Sinks.Sensors (Basel, Switzerland) · 2024Article
- Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks.Sensors (Basel, Switzerland) · 2022Review
- Self-Stabilizing Capacitated Vertex Cover Algorithms for Internet-of-Things-Enabled Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2022Article
- Monitoring and Predictive Maintenance of Centrifugal Pumps Based on Smart Sensors.Sensors (Basel, Switzerland) · 2022Article
- Area Coverage Maximization under Connectivity Constraint in Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2022Article
- A Distributed Localization Method for Wireless Sensor Networks Based on Anchor Node Optimal Selection and Particle Filter.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.