This article presents an improved Byzantine fault tolerance algorithm to tolerate Byzantine faults rapidly by minimizing the load of the network with a minimum cost that provides a very simple methodology to design Byzantine fault tolerance (BFT) state machine replication protocol with the most favorable flexibility. Although, we have taken the initiative of fault tolerance from earlier works and conversely perform a different approach than them. Our protocol just requires 2f + 1 replicas for ffaults instead of 3f + 1 in previous Byzantine protocols to mitigate the attacks by faulty primary and replicas. It also improves prior algorithms in terms of different parameters and requires fewer cryptographic techniques. Similar to previous BFT protocols, this protocol also guarantees correctness.
Road traffic has become a major issue in highly crowded metropolitan cities. Ambulance services which are provided by the government and private organizations struggle to get the patient to the hospital, resulting in unfortunate events which affect the people vastly. We are applying Internet Of Things (IoT) and cloud based services that can bring up an effective route and smoothen the ambulance movement throughout. Our attempt is to alert people on the road in prior about incoming ambulances by using smart lighting and managing them via cloud. Internet Of Things helps in collaboration of these different devices, accessing and monitoring them remotely.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.