An Enhanced Fuzzy Routing Protocol for Energy Optimization in the Underwater Wireless Sensor Networks  

作　　者：Mehran Tarif Mohammadhossein Homaei Amir Mosavi 

机构地区：[1]Department of Computer Science,University of Verona,Verona,37134,Italy [2]Department of Computer Systems Engineering and Telematics,University of Extremadura,Caceres,10003,Extremadura,Spain [3]Institute of the Information Society,Ludovika University of Public Service,Budapest,1083,Hungary [4]John Von Neumann Faculty of Informatics,Obuda University,Budapest,1034,Hungary [5]Department of Information and Computing Systems,Abylkas Saginov Karaganda Technical University,Karaganda,100000,Kazakhstan

出　　处：《Computers, Materials & Continua》2025年第5期1791-1820,共30页计算机、材料和连续体(英文)

摘　　要：Underwater Wireless Sensor Networks(UWSNs)are gaining popularity because of their potential uses in oceanography,seismic activity monitoring,environmental preservation,and underwater mapping.Yet,these networks are faced with challenges such as self-interference,long propagation delays,limited bandwidth,and changing network topologies.These challenges are coped with by designing advanced routing protocols.In this work,we present Under Water Fuzzy-Routing Protocol for Low power and Lossy networks(UWF-RPL),an enhanced fuzzy-based protocol that improves decision-making during path selection and traffic distribution over different network nodes.Our method extends RPL with the aid of fuzzy logic to optimize depth,energy,Received Signal Strength Indicator(RSSI)to Expected Transmission Count(ETX)ratio,and latency.Theproposed protocol outperforms other techniques in that it offersmore energy efficiency,better packet delivery,lowdelay,and no queue overflow.It also exhibits better scalability and reliability in dynamic underwater networks,which is of very high importance in maintaining the network operations efficiency and the lifetime of UWSNs optimized.Compared to other recent methods,it offers improved network convergence time(10%–23%),energy efficiency(15%),packet delivery(17%),and delay(24%).

关 键 词：Underwater sensor networks(UWSNs) ROUTING energy fuzzy logic MULTIPATH load balancing 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]