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Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor

José M Lanza-Gutiérrez1, Nuria Caballé2, Juan A Gómez-Pulido3

  • 1Escuela Técnica Superior de Ingenieros Industriales, Centro de Electrónica Industrial,Universidad Politécnica de Madrid, 28006 Madrid, Spain. jm.lanza@upm.es.

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Summary
This summary is machine-generated.

This study tackles the Wireless Sensor Networks (WSNs) Relay Node Placement Problem (RNPP) using multi-objective metaheuristics. It evaluates various algorithms to find optimal solutions for energy, sensitivity, and reliability in WSNs.

Keywords:
deploymentenergy costmetaheuristicmulti-objectiverelay nodereliabilitysensitivitywireless sensor network

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Optimization

Background:

  • Wireless Sensor Networks (WSNs) offer advanced monitoring but face challenges in energy efficiency and reliability.
  • The Relay Node Placement Problem (RNPP) is crucial for enhancing WSN performance but is an NP-hard optimization challenge.

Purpose of the Study:

  • To address two Multi-Objective (MO) formulations of the RNPP.
  • To optimize average energy cost, average sensitivity area, and network reliability.

Main Methods:

  • Proposes and evaluates two MO formulations for the RNPP.
  • Employs a diverse set of MO metaheuristics: evolutionary algorithms (NSGA-II, SPEA2, MOEA/D), swarm intelligence (MO-ABC, MO-FA, MO-GSA), and trajectory algorithms (MO-VNS).

Main Results:

  • Compares the performance of multiple metaheuristics across different RNPP formulations.
  • Statistically analyzes results to identify robust algorithms for RNPP optimization.

Conclusions:

  • Identifies effective metaheuristics for solving the RNPP.
  • Provides insights into selecting the best algorithm based on the number of objectives and desired network performance.