Connectivity Restoration in Wireless Sensor and Actor Networks using Distributed Learning Automata
Publish Year: 1397
Type: Journal paper
Language: English
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Document National Code:
JR_IJIM-10-3_007
Index date: 16 January 2024
Connectivity Restoration in Wireless Sensor and Actor Networks using Distributed Learning Automata abstract
Connectivity in WSNs is vital to preserve the network performance. Reported algorithms try to restore connectivity by appropriately selecting the failure handler. This paper, initially presents a hybrid algorithm based on distributed learning automata named DLA-BuS for critical node backup selection. Then, we present DLA-MRF to repair stimulant failure of two adjacent actors. Simulations using Castalia demonstrate that proposed algorithms outperform representative methods in terms of some well-known performance parameters.
Connectivity Restoration in Wireless Sensor and Actor Networks using Distributed Learning Automata Keywords:
Wireless sensor and actor networks , Fault recovery , Connectivity restoration , Node relocation , distributed learning automata
Connectivity Restoration in Wireless Sensor and Actor Networks using Distributed Learning Automata authors
M. Jahanshahi
Young Researchers and Elite Club, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
M. Maddah
Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran