Robustness Optimization for IoT Topology

The IoT topology defines the way various components communicate with each other withinanetwork. Topologies can vary greatlyin terms ofsecurity, power consumption, cost,and complexity. Optimizing the IoT topologyfordifferent applications and requirements can help to boost thenetwork's performanceand save costs. More importantly, optimizing the topology robustness can ensuresecurityand prevent network failureatthe foundation level. In this context, this bookexaminesthe optimization schemesfortopology robustness in the IoT,helpingreaders to construct a robustness optimization framework,fromself-organizing to intelligent networking. Thebook provides the relevant theoretical framework and the latest empirical researchonrobustness optimization of IoT topology.Startingwith the self-organization of networks,itgradually moves to genetic evolution. Italso discussesthe application of neural networksand reinforcement learningtoendow the node with self-learning ability toallowintelligent networking. This book is intended for students, practitioners, industry professionals, and researcherswho are eager to comprehend the vulnerabilities of IoT topology.It helps them to mastertheresearch framework for IoT topology robustness optimizationandto build more efficient and reliable IoT topologies intheirindustry.