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An Effective Scheduling Algorithm for Coverage Control in Underwater Acoustic Sensor Network.

Hui Wang1,2, Youming Li3, Tingcheng Chang4

  • 1Department of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China. wangh0802@163.com.

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Summary
This summary is machine-generated.

Underwater acoustic sensor networks (UASNs) face coverage loss due to limited node energy. The ESACC strategy uses node redundancy for energy-saving sleep-wake scheduling, extending network life and maintaining coverage.

Keywords:
coverage maintenancememetic algorithmsleep–wake schedulingunderwater acoustic sensor network

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Area of Science:

  • Sensor Networks
  • Underwater Acoustics
  • Network Lifecycles

Background:

  • Coverage maintenance is a critical challenge in underwater acoustic sensor networks (UASNs).
  • Limited node energy leads to gradual coverage degradation over time.
  • Energy-efficient coverage control is essential for UASN longevity.

Purpose of the Study:

  • To propose an energy-saving coverage control strategy (ESACC) for UASNs.
  • To address the bottleneck of coverage maintenance in UASNs.
  • To prolong the operational lifetime of UASNs while ensuring adequate monitoring coverage.

Main Methods:

  • Implemented a sleep-wake scheduling mechanism leveraging node redundancy.
  • Utilized a memetic algorithm for optimal node sleep scheduling to identify a minimum working node set.
  • Designed a wake-up scheme to activate sleeping nodes for coverage maintenance.

Main Results:

  • The ESACC strategy effectively reduces energy consumption by utilizing node redundancy.
  • ESACC ensures continuous and high monitoring coverage by intelligently scheduling node activity.
  • Experimental results demonstrate ESACC's superior performance compared to existing algorithms.

Conclusions:

  • ESACC significantly improves the network lifecycle of UASNs.
  • The proposed strategy balances energy conservation with the critical need for sustained network coverage.
  • ESACC offers a viable solution for enhancing the efficiency and longevity of underwater acoustic sensor networks.