5 Energy-efficient routing employing neural networks along with vector-based pipeline in underwater wireless sensor networks
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Reeta Bhardwaj
Abstract
Underwater wireless sensor networks (UWSNs) are outfitted by restricted battery power. Because of the unfavorable surroundings, battery substitution is costly in UWSNs. Energy consumption causes a significant network issue due to distant deployment and small size of the sensor nodes. Therefore, we propose energyefficient routing employing neural networks using vector-based pipeline in UWSNs. The entire network in these UWSNs is separated into steady dimension clusters; in all clusters, cluster heads (CHs) are chosen under the source of power using a neural network approach. However, CHs transmit the packets to the base station using the vector-based routing. Simulation results depict that using neural network and vector based achieves maximum stability and increases network lifetime.
Abstract
Underwater wireless sensor networks (UWSNs) are outfitted by restricted battery power. Because of the unfavorable surroundings, battery substitution is costly in UWSNs. Energy consumption causes a significant network issue due to distant deployment and small size of the sensor nodes. Therefore, we propose energyefficient routing employing neural networks using vector-based pipeline in UWSNs. The entire network in these UWSNs is separated into steady dimension clusters; in all clusters, cluster heads (CHs) are chosen under the source of power using a neural network approach. However, CHs transmit the packets to the base station using the vector-based routing. Simulation results depict that using neural network and vector based achieves maximum stability and increases network lifetime.
Chapters in this book
- Frontmatter I
- Preface V
- Contents IX
- About the editors XI
- List of contributors XIII
- 1 Selecting and assessing the importance of malware analysis methods for web-based biomedical services through fuzzy-based decision-making procedure 1
- 2 A medical intelligent system for diagnosis of chronic kidney disease using adaptive neuro-fuzzy inference system 19
- 3 Contrast enhancement approach for satellite images using hybrid fusion technique and artificial bee colony optimization 33
- 4 Role of intelligent IoT applications in fog computing 55
- 5 Energy-efficient routing employing neural networks along with vector-based pipeline in underwater wireless sensor networks 71
- 6 A review of global optimization problems using meta-heuristic algorithm 87
- 7 Secure indexing and storage of big data 107
- 8 Genetic algorithm and normalized text feature based document classification 123
- 9 Nature-inspired optimization techniques 137
- Index 153
Chapters in this book
- Frontmatter I
- Preface V
- Contents IX
- About the editors XI
- List of contributors XIII
- 1 Selecting and assessing the importance of malware analysis methods for web-based biomedical services through fuzzy-based decision-making procedure 1
- 2 A medical intelligent system for diagnosis of chronic kidney disease using adaptive neuro-fuzzy inference system 19
- 3 Contrast enhancement approach for satellite images using hybrid fusion technique and artificial bee colony optimization 33
- 4 Role of intelligent IoT applications in fog computing 55
- 5 Energy-efficient routing employing neural networks along with vector-based pipeline in underwater wireless sensor networks 71
- 6 A review of global optimization problems using meta-heuristic algorithm 87
- 7 Secure indexing and storage of big data 107
- 8 Genetic algorithm and normalized text feature based document classification 123
- 9 Nature-inspired optimization techniques 137
- Index 153
