Organized leader election consensus protocol and a supportive blockchain model for ambient assisted living

Basem Assiri ()

Edelweiss Applied Science and Technology, 2024, vol. 8, issue 3, 223-235

Abstract: Blockchain enhances the development of other technologies and systems by providing more transparency, sharing, decentralization, security, and privacy. Blockchain has many applications that enable integration and application in many areas, such as the field of ambient assisted living (AAL). However, blockchain includes many processes for data proposing, validating, and approving, which result in high latency. Such latency negatively influences AAL systems, which require real-time responses in many cases. In addition, blockchain processes are processed based on consensus. This challenges specialized decisions that should be taken only by specialized members within the blockchain network. Therefore, this work introduces an organized leader election consensus protocol with a blockchain model that is applicable for AAL. The proposed protocol and model are able to solve the issue of latency as well as consider specialized decisions. Solving the issue of latency enables AAL to perform real-time processes in the needed cases. While considering the matter of specialization gives more credibility to the blockchain’s decisions, which is necessary for AAL. Indeed, it classifies the blocks into special-sensitive, time-sensitive, and non-sensitive classes, where each class has a suitable procedure. In addition, to manage the organized leader election consensus protocol, we manage the blockchain feature and rewarding strategy. This enhances the miners’ participation in a way that supports blockchain and AAL simultaneously. The experimental results show that our model reduces the execution time by about 51% in comparison to the original blockchain model.

Keywords: Ambient assisted living; Blockchain; Consensus protocol; Internet of things; Organized leader election protocol; Data sensitivity. (search for similar items in EconPapers)
Date: 2024
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