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An Optimized Fuzzy Based Ant Colony Algorithm for 5G-MANET 被引量:1
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作者 r.nithya K.Amudha +5 位作者 A.Syed Musthafa Dilip Kumar Sharma Edwin Hernan Ramirez-Asis Priya Velayutham V.Subramaniyaswamy Sudhakar Sengan 《Computers, Materials & Continua》 SCIE EI 2022年第1期1069-1087,共19页
The 5G demonstrations in a business has a significant role in today’s fast-moving technology.Manet in 5G,drives a wireless system intended at an enormously high data rate,lower energy,low latency,and cost.For this re... The 5G demonstrations in a business has a significant role in today’s fast-moving technology.Manet in 5G,drives a wireless system intended at an enormously high data rate,lower energy,low latency,and cost.For this reason,routing protocols of MANET have the possibility of being fundamentally flexible,high performance,and energy-efficient.The 5G communication aims to afford higher data rates and significantly low Over-The-Air latency.Motivated through supplementary ACO routing processes,a security-aware,fuzzy improved ant colony routing optimization protocol is proposed in MANETs.The goal is to develop aMANET routing protocol that could provide a stable packet transmission ratio,less overhead connectivity,and low end-to-end latency in shared standard scenarios and attack states.MANET demonstrates effective results with hybrid architecture and proved to be effective than other state-of-the-art routing protocols of MANETs,like AODV,its routing organization implemented through Optimized Fuzzy based ACO Algorithm for 5G.Millimeter-wavelengths are required to perform a significant role in 5G.This research proposed to test the efficiency of MANET consisting of only mmWave User Equipment.MANET reduced packet transmission loss of UEs withmmWave,meaning well-transmitted SNR leads directly to a better packet delivery ratio.To verify results,simulation using the NS-3 simulator mmWave module is used. 展开更多
关键词 5G ATTACKS D2D communications MANET mmWave SECURITY
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Evaluation and Bulked Segregant Analysis of Major Yield QTL qtl12.1 Introgressed into Indigenous Elite Line for Low Water Availability under Water Stress 被引量:1
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作者 N.Manikanda BOOPATHI Gat SWAPNASHRI +4 位作者 P.KAVITHA S.SATHISH r.nithya Wickneswari RATNAM Arvind KUMAR 《Rice science》 SCIE 2013年第1期25-30,共6页
Near isogenic lines carrying large-effect QTL (qtl2.1), which has a consistent influence on grain yield under upland drought stress conditions in a wide range of environments, were evaluated under water stress in th... Near isogenic lines carrying large-effect QTL (qtl2.1), which has a consistent influence on grain yield under upland drought stress conditions in a wide range of environments, were evaluated under water stress in the fields. The line which gave higher yield under drought was crossed with a local elite line, PMK3, and forwarded to F2:3 generation. Significant variation was found among the F2:3 lines for agronomic traits under water stress in the fields. Low to high broad sense heritability (H) for investigated traits was also found. Water stress indicators such as leaf rolling and leaf drying were negatively correlated with plant height, biomass and grain yield under stress. Bulked segregant analysis (BSA) was performed with the markers in the vicinity of qUl2.1, and RM27933 was found to be segregated perfectly well in individual components of drought resistant and drought susceptible bulks which were bulked based on yield under water stress among F2:3 lines. Hence, this simple and breeder friendly marker, RM27933, may be useful as a potentially valuable candidate marker for the transfer of the QTL qtl12.1 in the regional breeding program. Bioinformatic analysis of the DNA sequence of the qtl12.1 region was also done to identify and analyze positional candidate genes associated with this QTL and to ascertain the putative molecular basis of qUl2.1. 展开更多
关键词 rice bulked segregant analysis water stress quantitative trait locus marker-assisted selection
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Distributed Multi-hop Clustering Approach with Low Energy Consumption in WSN 被引量:1
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作者 r.nithya Roobaea Alroobaea +1 位作者 Ahmed Binmahfoudh Zairi Ismael Rizman 《Computer Systems Science & Engineering》 SCIE EI 2023年第4期903-924,共22页
The purpose of sensing the environment and geographical positions,device monitoring,and information gathering are accomplished using Wireless Sensor Network(WSN),which is a non-dependent device consisting of a distinc... The purpose of sensing the environment and geographical positions,device monitoring,and information gathering are accomplished using Wireless Sensor Network(WSN),which is a non-dependent device consisting of a distinct collection of Sensor Node(SN).Thus,a clustering based on Energy Efficient(EE),one of the most crucial processes performed in WSN with distinct environments,is utilized.In order to efficiently manage energy allocation during sensing and communication,the present research on managing energy efficiency is performed on the basis of distributed algorithm.Multiples of EE methods were incapable of supporting EE routing with MIN-EC in WSN in spite of the focus of EE methods on energy harvesting and minimum Energy Consumption(EC).The three stages of performance are proposed in this research work.At the outset,during routing and Route Searching Time(RST)with fluctuating node density and PKTs,EC is reduced by the Hybrid Energy-based Multi-User Routing(HEMUR)model proposed in this work.Energy efficiency and an ideal route for various SNs with distinct PKTs in WSN are obtained by this model.By utilizing the Approximation Algorithm(AA),the Bregman Tensor Approximation Clustering(BTAC)is applied to improve the Route Path Selection(RPS)efficiency for Data Packet Transmission(DPT)at the Sink Node(SkN).The enhanced Network Throughput Rate(NTR)and low DPT Delay are provided by BTAC.To MAX the Clustering Efficiency(CE)and minimize the EC,the Energy Effective Distributed Multi-hop Clustering(GISEDC)method based on Generalized Iterative Scaling is implemented.The Multi-User Routing(MUR)is used by the HEMUR model to enhance the EC by 20%during routing.When compared with other advanced techniques,the Average Energy Per Packet(AEPP)is enhanced by 39%with the application of proportional fairness with Boltzmann Distribution(BD).The Gaussian Fast Linear Combinations(GFLC)with AA are applied by BTAC method with an enhanced Communication Overhead(COH)for an increase in performance by 19%and minimize the DPT delay by 23%.When compared with the rest of the advanced techniques,CE is enhanced by 8%and EC by 27%with the application of GISEDC method. 展开更多
关键词 Sensor node CLUSTERING ROUTING energy consumption multi-path routing
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