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Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents

机译:为IOTA和移动代理商提供分布式智能

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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.
机译:据估计,大约1250亿互联网(IOT)设备(IOT)的设备(IOT)设备将由2030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,基础架构可伸缩性和隐私。几项研究表明了使用分布式智能(DI)来克服这些挑战的好处。我们提出了一种基于移动代理商分布式智能纠结的方法(MADIT),作为基于IOTA(TANTLE)的潜在解决方案,其中TANTLE是一个分布式分类帐平台,可以在大型P2P网络中实现可扩展的基于事务的数据交换。 MADIT可以在两个层面下分布智能。首先,采用多个移动代理以满足节点级通信,并在低电平下收集交易数据。其次,高级智能使用基于纠缠的架构来处理事务。工作证明卸载计算机制提高了加工效率和速度,同时降低了能量消耗。广泛的实验表明,通过使用移动代理来提高交易处理速度,从而提供更好的可扩展性。

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