Self-Organizing Wireless Sensor Networks Solving the Coverage Problem: Game-Theoretic Learning Automata and Cellular Automata-Based Approaches

Self-Organizing Wireless Sensor Networks Solving the Coverage Problem: Game-Theoretic Learning Automata and Cellular Automata-Based Approaches

In this paper, we focus on developing self-organizing algorithms aimed at solving, in a distributed way, the coverage problem in Wireless Sensor Networks (WSNs). For this purpose, we apply a game-theoretical framework based on an application of a variant of the Spatial Prisoner’s Dilemma game. The f...

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Bibliographic Details
Main Authors: Franciszek Seredynski, Miroslaw Szaban, Jaroslaw Skaruz, Piotr Switalski, Michal Seredynski
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
collective behavior
adaptive cellular automata
learning automata
network coverage problem
self-organization
sensor networks
Online Access:https://www.mdpi.com/1424-8220/25/5/1467
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