It is estimated that there will be approximately 125 billion Internet of Things (IoT) devices connected to the Internet by 2030, which are expected to generate large amounts of data. This will challenge data processing capability, infrastructure scalability, and privacy. Several studies have demonstrated the benefits of using distributed intelligence (DI) to overcome these challenges. We propose a Mobile-Agent Distributed Intelligence Tangle-Based approach (MADIT) as a potential solution based on IOTA (Tangle), where Tangle is a distributed ledger platform that enables scalable, transaction-based data exchange in large P2P networks. MADIT enables distributed intelligence at two levels. First, multiple mobile agents are employed to cater for node level communications and collect transactions data at a low level. Second, high level intelligence uses a Tangle based architecture to handle transactions. The Proof-of-Work offloading computation mechanism improves efficiency and speed of processing, while reducing energy consumption. Extensive experiments show that transaction processing speed is improved by using mobile agents, thereby providing better scalability.

中文翻译：

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通过 IOTA 和移动代理为物联网启用分布式智能

据估计，到 2030 年，将有大约 1250 亿台物联网 (IoT) 设备连接到互联网，预计将产生大量数据。这将挑战数据处理能力、基础设施可扩展性和隐私。多项研究证明了使用分布式智能 (DI) 克服这些挑战的好处。我们提出了一种基于移动代理分布式智能 Tangle 的方法 (MADIT) 作为基于 IOTA (Tangle) 的潜在解决方案，其中 Tangle 是一个分布式账本平台，可在大型 P2P 网络中实现可扩展的、基于事务的数据交换。MADIT 实现了两个级别的分布式智能。首先，采用多个移动代理来满足节点级别的通信并在低级别收集交易数据。第二，高级智能使用基于 Tangle 的架构来处理事务。工作量证明卸载计算机制提高了处理效率和速度，同时降低了能耗。大量实验表明，使用移动代理提高了事务处理速度，从而提供了更好的可扩展性。