Bio-Inspired Fault-Tolerant Algorithms for Network-on-Chip

Chapter 1: (Introduction)
1.1 Network on Chip
1.2 Fault tolerance
1.3 Why Bio-inspired Algorithms For Fault tolerance
1.4 Bio-inspired Fault-tolerant Algorithms Objectives
1.5 Book Contributions
1.6 Organization of the Book
Chapter 2: (In-depth Review of Network on Chip)
2.1 Link Sharing Mechanism
2.3 Switching Techniques
2.4 Buffer Management Techniques
2.5 NoC Evaluation Parameters
2.6 NoC Clocking Mechanism
2.7 NoC Topologies
2.8 Open Source
2.9 NoC Connection Types
2.10 NoC Size
2.11 NoC Implementation Platforms
2.12 NoC Buffering Mechanisms
2.13 NoC PE-router Interface
2.14 NoC Frequency and Technology
2.15 NoC Area and Power Consumption
2.16 NoC Router Ports and Bus Width
2.17 NoC Year of Proposal, Flit size and Latency
2.18 Quality of Services (QoS)
Summary
Chapter 3: (Bio-inspired algorithms and implementation)
3.1 Swarm Intelligence Algorithms (SIA)
3.2 Ant Colony Optimization (ACO)
3.3 Artificial Immune System (AIS)
3.4 Firefly Algorithm
3.5 Epidemic Spreading
3.6 Flower Pollination Algorithm (FPA)
3.7 Artificial Bee Colony Algorithm (ABC)
3.8 Cat Swarm Optimization (CSO)
3.9 Cuckoo Search (CS)
3.10 Bat Algorithm (BA)
3.11 Cuttlefish Algorithm (CFA)
3.12 Harris Hawks Optimization (HHO)
3.13 Killer Whale Algorithm (KWA)
3.14 Cobweb Network on Chip (NoC) Topology
3.15 Scalable Bio-inspired Fault Detection Unit (FDU) in Network on Chip
3.16 Autonomous Error Tolerant (AET) Architecture
3.17 SpiNNaker Communication
3.18 Autonomic Network on Chip using the Biological Immune System
3.19 Fault-Tolerant NoC using Biological Brain Techniques
3.20 Bio-Inspired Online Fault Detection in NoC Interconnect
3.21 Bio-inspired Self-Aware NoC Fault-Tolerant Routing Algorithm
Chapter 4: (Bio-inspired NoC fault-tolerant algorithms)
4.1 Biological Brain Characteristics
4.2 Synaptogenesis
4.3 Sprouting
4.4 Bio-inspired NoC Algorithms
4.5 Bio-inspired NoC Framework
4.6 Bio-inspired NoC Network
4.7 Bio-inspired NoC Fault-Tolerant Algorithm
4.8 Bio-inspired BE and GT NoC algorithm and architectures
Summary
Chapter 5: (Analysis of bio-inspired NoC fault-tolerant algorithms)
5.1 Research framework, design and parameters
5.2 Bio-inspired NoC fault-tolerant algorithms result analysis
Summary
Chapter 6: (Conclusion and future work)
6.1 Future work