Connectivity Restoration in Wireless Sensor and Actor Networks using Distributed Learning Automata
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 76
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شناسه ملی سند علمی:
JR_IJIM-10-3_007
تاریخ نمایه سازی: 26 دی 1402
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.
کلیدواژه ها:
Wireless sensor and actor networks ، Fault recovery ، Connectivity restoration ، Node relocation ، distributed learning automata
نویسندگان
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