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Adaptive Connectivity Restoration from Node Failure(s) in Wireless Sensor Networks.

Huaiyuan Wang1, Xu Ding2, Cheng Huang3

  • 1Academy of Automation, Nanjing University of Science and Technology, Nanjing 210094, China. why5841031@163.com.

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Summary
This summary is machine-generated.

This study introduces new algorithms to maintain wireless sensor network connectivity despite node failures. These methods, CSFR-M and CCRA, effectively restore network function after single or multiple node failures, enhancing network resilience.

Keywords:
connectivity restorationcooperative communicationwireless sensor networks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Wireless Sensor Networks (WSNs) are increasingly used for surveillance and data collection.
  • Node failures due to harsh environments or limited energy can compromise network connectivity.
  • Existing research primarily addresses single node failures, neglecting the critical issue of multiple failures.

Purpose of the Study:

  • To develop comprehensive solutions for restoring connectivity in WSNs after single and multiple node failures.
  • To propose reactive algorithms that initiate restoration upon failure detection.
  • To enhance network resilience and minimize energy dissipation during recovery.

Main Methods:

  • Introduced Collaborative Single Node Failure Restoration (CSFR) and its extension CSFR-M, utilizing cooperative communication and node motion.
  • Developed Collaborative Connectivity Restoration Algorithm (CCRA) for multiple node failures, incorporating cooperative communication and node maneuverability.
  • Implemented a gridding strategy within CCRA to simplify recovery and reduce node travel distance.

Main Results:

  • CSFR-M improves upon CSFR for single node failure restoration.
  • CCRA effectively restores network connectivity after multiple node failures.
  • Simulations validate the performance and efficiency of the proposed algorithms (CSFR, CSFR-M, CCRA).

Conclusions:

  • The proposed algorithms (CSFR-M and CCRA) offer robust solutions for WSN connectivity restoration.
  • Node motion and cooperative strategies significantly enhance recovery effectiveness.
  • The gridding approach in CCRA optimizes energy consumption and recovery efficiency.