Connectivity Restoration in Wireless Sensor and Actor Networks using Distributed Learning Automata
محورهای موضوعی : مجله بین المللی ریاضیات صنعتی
M. Jahanshahi
1
(Young Researchers and Elite Club, Central Tehran Branch, Islamic Azad University, Tehran, Iran.)
M. Maddah
2
(Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran)
کلید واژه: distributed learning automata, Fault recovery, Wireless sensor and actor networks, Connectivity restoration, Node relocation,
چکیده مقاله :
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.
