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On the Reliability of Wireless Sensor Networks with Multiple Sinks.

Vladimir Shakhov1, Denis Migov2

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|September 14, 2024
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This study introduces a new reliability metric and sink placement algorithm for heterogeneous wireless sensor networks. These methods enhance network survivability and data collection reliability despite sensor failures and wireless challenges.

Keywords:
heuristic algorithmmultiple sinksnetwork convergencerandom graphsystem reliabilitywireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Heterogeneous wireless sensor networks (WSNs) offer benefits like increased coverage and efficient resource use.
  • Ensuring reliability and survivability in low-cost WSNs remains a challenge due to wireless environment unreliability.
  • Multi-sink architectures are emerging from integrating diverse sensor networks, requiring new reliability assurance methods.

Purpose of the Study:

  • To define and evaluate a novel reliability metric for WSNs.
  • To develop a heuristic algorithm for optimal sink placement to maximize network reliability.
  • To address the challenge of ensuring data collection reliability in heterogeneous WSNs.

Main Methods:

  • Defined reliability as the probability of sinks collecting data from a specified number of sensors.
  • Introduced and examined a dedicated reliability metric.
  • Employed an algorithm based on the modified factoring method for metric computation.
  • Developed a heuristic algorithm for optimal sink placement.

Main Results:

  • The proposed reliability metric effectively quantifies network dependability.
  • The heuristic algorithm demonstrates effectiveness in optimizing sink placement for enhanced reliability.
  • The study provides a framework for improving data collection success rates in WSNs.

Conclusions:

  • The developed reliability metric and sink placement algorithm contribute to more robust and survivable heterogeneous WSNs.
  • These approaches are crucial for overcoming the inherent unreliability of wireless environments and sensor failures.
  • Optimized sink placement is key to maximizing data integrity and network performance in complex WSN deployments.