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Nature Inspired Improved Firefly Algorithm for Node Clustering in WSNs

Computers, Materials & Continua 2020年第8期64卷 753-776页

作者： V.Manikandan M.Sivaram Amin Salih Mohammed V.Porkodi Department of Computer Networking College of Engineering and Computer ScienceLebanese French UniversityErbil44001Iraq College of Engineering and Computer Science Lebanese French UniversityErbil44001Iraq Department of Information Technology College of Engineering and Computer ScienceLebanese French UniversityErbil44001Iraq

Wireless Sensor Networks(WSNs)comprises low power devices that are randomly distributed in a geographically isolated *** energy consumption of nodes is an essential factor to be ***,an improved energy management technique is designed in this investigation to reduce its consumption and to enhance the network’s *** can be attained by balancing energy clusters using a meta-heuristic Firefly algorithm model for network *** improved technique is based on the cluster head selection technique with measurement of the tour length of *** Division Multiple Access(TDMA)scheduler is also improved with the characteristics/behavior of fireflies and also *** last,the development approach shows the progression of the network lifetime,the total number of selected Cluster Heads(CH),the energy consumed by nodes,and the number of packets *** approach is compared with Ad hoc On-Demand Distance Vector(AODV),Dynamic Source Routing(DSR)and Low Energy Adaptive Clustering Hierarchy(leah)*** is performed in MATLAB with the numerical outcomes showing the efficiency of the proposed *** energy consumption of sensor nodes is reduced by about 50%and increases the lifetime of nodes by 78%more than AODV,DSR and LEACH *** parameters such as cluster formation,end to end delay,percentage of nodes alive and packet delivery ratio,are also evaluated...The anticipated method shows better trade-off in contrast to existing techniques.

关键词： Cluster head wireless sensor network leah TDMA firefly AODV DSR

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