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Routing with Face Traversal and Auctions Algorithms for Task Allocation in WSRN.

Jelena Stanulovic1,2, Nathalie Mitton3, Ivan Mezei1

  • 1Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia.

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Summary
This summary is machine-generated.

New algorithms for wireless sensor and robot networks improve task allocation. RFTA2 and RFTA2GE significantly extend network lifetime and reduce communication costs compared to existing methods.

Keywords:
GFG routingauctionsface routinggreedy routingwireless sensor and robot networks

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Area of Science:

  • Robotics
  • Wireless Sensor Networks
  • Network Routing

Background:

  • Mobile robots and sensors are crucial for event detection and response.
  • Efficient task allocation to suitable robots is essential for network performance.
  • Existing routing and task assignment algorithms face limitations in dynamic environments.

Purpose of the Study:

  • To propose novel algorithms for event handling in wireless sensor and robot networks.
  • To enhance task allocation efficiency using an auction-based approach combined with greedy-face-greedy routing.
  • To evaluate the performance of the proposed algorithms in terms of network lifetime and communication costs.

Main Methods:

  • Development of four new algorithms: RFTA1, RFTA2, GFGF2A, and RFTA2GE.
  • Integration of greedy-face-greedy (GFG) routing with an auction mechanism for task assignment.
  • Introduction of a search radius (SR) parameter for initial robot discovery.
  • Two-phase approach: face routing for initial discovery, followed by auction-based refinement.
  • Simulation-based comparison with existing algorithms like k-SAAP and BFS.

Main Results:

  • RFTA2 and RFTA2GE demonstrate up to a seven-fold increase in network lifetime.
  • Significant reduction in communication overhead compared to k-SAAP and BFS.
  • RFTA2GE exhibits superior robot energy utilization among the proposed algorithms.
  • Successful event handling and task allocation in simulated wireless sensor and robot networks.

Conclusions:

  • The proposed RFTA algorithms offer substantial improvements in network lifetime and communication efficiency.
  • RFTA2GE is particularly effective in optimizing robot energy usage for event response.
  • The combined approach of GFG routing and auctions provides a robust solution for dynamic task allocation.