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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) face design constraints like limited processing power, memory, and energy, alongside harsh outdoor conditions impacting reliability.
  • Existing research often overlooks the combined effects of hardware failures, communication errors, and real-world deployment scenarios on WSN reliability.

Purpose of the Study:

  • To investigate how redundancy and node deployment strategies influence the reliability of Wireless Sensor Networks.
  • To analyze the design and implementation of a low-power, low-cost WSN for harsh environments.
  • To quantify WSN reliability under real environmental conditions and field deployment arrangements.

Main Methods:

  • Reliability prediction using established handbooks to estimate failure rates for self-designed nodes operating in harsh conditions.
  • Fault Tree Analysis (FTA) to model system reliability, incorporating Wi-Fi coverage and inter-node communication links based on actual node deployment.
  • Evaluation of hardware failures and communication errors as key reliability metrics.

Main Results:

  • Different node arrangements result in significantly varying levels of network reliability.
  • Node positioning emerged as a critical factor in achieving maximum performance from the WSN.
  • The study provides a quantitative assessment of reliability considering both component failures and network topology.

Conclusions:

  • Strategic node deployment is paramount for enhancing Wireless Sensor Network reliability.
  • Understanding the interplay between node arrangement, environmental factors, and hardware/communication failures is crucial for robust WSN design.
  • Optimized node positioning can mitigate the impact of design constraints and harsh conditions on WSN performance.