Titlebook: Nature Inspired Computing for Wireless Sensor Networks; Debashis De,Amartya Mukherjee,Nilanjan Dey Book 2020 Springer Nature Singapore Pte

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書目名稱Nature Inspired Computing for Wireless Sensor Networks影響因子(影響力)學(xué)科排名




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書目名稱Nature Inspired Computing for Wireless Sensor Networks網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Nature Inspired Computing for Wireless Sensor Networks被引頻次




書目名稱Nature Inspired Computing for Wireless Sensor Networks被引頻次學(xué)科排名




書目名稱Nature Inspired Computing for Wireless Sensor Networks年度引用




書目名稱Nature Inspired Computing for Wireless Sensor Networks年度引用學(xué)科排名




書目名稱Nature Inspired Computing for Wireless Sensor Networks讀者反饋




書目名稱Nature Inspired Computing for Wireless Sensor Networks讀者反饋學(xué)科排名

缺乏

無(wú)可爭(zhēng)辯

A GA-Based Fault-Aware Routing Algorithm for Wireless Sensor Networksto balance the load of CHs during data routing. The proposed algorithm has been extensively analyzed with some existing related algorithms and compared their performance in terms of different metrics like energy efficiency, number of alive nodes, and packet delivery ratio.

使熄滅

aggressor

A GA-Based Intelligent Traffic Management Technique for Wireless Body Area Sensor Networksciently by maximizing green signal of the network. The proposed method is compared with some existing techniques in terms of some features. The final comparison shows that the proposed method outperformed the existing methods.

生命

Fault Diagnosis in Wireless Sensor Networks Using a Neural Network Constructed by Deep Learning Teched to identify and classify various types of faults in WSNs to avoid such kind of problems. However, the application of deep learning (DL) methods has sparked great interest in both the industry and academia in the last few years. In this chapter, neural network methods will be used in fault diagnos

MOTTO

可商量

相一致

A Comprehensive Survey of Intelligent-Based Hierarchical Routing Protocols for Wireless Sensor Netwoer presents a comprehensive survey of the recently intelligent-based hierarchical routing protocols that are developed based on Particle Swarm Optimization, Ant Colony Optimization, Fuzzy Logic, Genetic Algorithm, and Artificial Immune Algorithm. These protocols will review in detail according to di

LAITY

Qualitative Survey on Sensor Node Deployment, Load Balancing and Energy Utilization in Sensor Networeterministic, as well as heuristic-based algorithms incorporating optimization techniques to perform the node distribution has been developed and researched over the years. Researchers have also developed variegated models with bio-inspired algorithms like genetic algorithm, PSO algorithm, etc. to t