CO-ASnet :A Smart Contract Architecture Design based on Blockchain Technology with Active Sensor Networks

TL;DR

This paper introduces CO-ASnet, a blockchain-based architecture integrating active sensor networks to enhance regulatory schemes for token issuance, inspired by empirical analysis of opinion leaders' influence in social finance.

Contribution

It proposes a novel decentralized regulatory framework using ChainLink Oracles and sensor networks to improve risk assessment and early warning in blockchain token issuance.

Findings

Opinion leaders can influence token prices using ICOs.

Opinion leaders can achieve excess returns and lower realization costs.

The proposed scheme enhances regulatory risk management.

Abstract

The influence of opinion leaders impacts different aspects of social finance. How to analyse the utility of opinion leaders' influence in realizing assets on the blockchain and adopt a compliant regulatory scheme is worth exploring and pondering. Taking Musk's call on social media to buy Dogecoin as an example, this paper uses an event study to empirically investigate the phenomenon in which opinion leaders use ICOs (initial coin offerings) to exert influence. The results show that opinion leaders can use ICOs to influence the price of token assets with money and data traffic in their social network. They can obtain excess returns and reduce the cost of realization so that the closed loop of influence realization will be accelerated. Based on this phenomenon and the results of its impact, we use the ChainLink Oracle with Active Sensor Networks(CO-ASnet) to design a safe and applicable decentralized regulatory scheme that can constructively provide risk assessment strategies and early warning measures for token issuance. The influence realization of opinion leaders in blockchain issuance is bound to receive widespread attention, and this paper will provide an exemplary reference for regulators and enterprises to explore the boundaries of blockchain financial product development and governance.