TinyEVM:低功耗物联网设备的链下智能合约

Christos Profentzas, M. Almgren, O. Landsiedel
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引用次数: 5

摘要

随着物联网(IoT)的兴起,从简单的传感器到智能手机,数十亿的设备将参与数十亿的小额支付。然而,目前的中心化解决方案无法处理来自不受信任设备的大量小额支付。区块链是适合解决其中一些挑战的有前途的技术。特别是,以太坊和比特币等无需许可的区块链引起了研究界的关注。然而,区块链的日益大规模部署揭示了其可扩展性的一些限制。扩展支付系统的突出建议包括链下协议,如支付渠道。然而,领先的建议假设强大的节点具有始终在线的连接和频繁的同步。这些假设在实践中需要大量的通信、内存和计算能力,而物联网设备在这些领域面临着实质性的限制。现有的方法也没有捕捉到物联网的逻辑和过程,其中应用程序需要处理本地收集的传感器数据,以充分利用物联网小额支付。在本文中,我们提出了TinyEVM,这是一个基于传感器数据生成和执行链下智能合约的新系统。TinyEVM的目标是使物联网设备能够执行小额支付,同时解决设备的限制。我们研究了使用TinyEVM在低功耗物联网设备上执行智能合约的权衡。我们用7000个公开验证的智能合约测试了我们的系统,TinyEVM在没有任何修改的情况下实现了93%的部署。最后,我们根据物联网设备的运行时性能、能源和内存需求评估链下智能合约的执行。值得注意的是,我们发现低功耗设备平均可以在215毫秒内部署智能合约,平均可以在584毫秒内完成链下支付。
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TinyEVM: Off-Chain Smart Contracts on Low-Power IoT Devices
With the rise of the Internet of Things (IoT), billions of devices ranging from simple sensors to smart-phones will participate in billions of micropayments. However, current centralized solutions are unable to handle a massive number of micropayments from untrusted devices.Blockchains are promising technologies suitable for solving some of these challenges. Particularly, permissionless blockchains such as Ethereum and Bitcoin have drawn the attention of the research community. However, the increasingly large-scale deployments of blockchain reveal some of their scalability limitations. Prominent proposals to scale the payment system include off-chain protocols such as payment channels. However, the leading proposals assume powerful nodes with an always-on connection and frequent synchronization. These assumptions require in practice significant communication, memory, and computation capacity, whereas IoT devices face substantial constraints in these areas. Existing approaches also do not capture the logic and process of IoT, where applications need to process locally collected sensor data to allow for full use of IoT micro-payments.In this paper, we present TinyEVM, a novel system to generate and execute off-chain smart contracts based on sensor data. TinyEVM’s goal is to enable IoT devices to perform micro-payments and, at the same time, address the device constraints. We investigate the trade-offs of executing smart contracts on low-power IoT devices using TinyEVM. We test our system with 7,000 publicly verified smart contracts, where TinyEVM achieves to deploy 93% of them without any modification. Finally, we evaluate the execution of off-chain smart contracts in terms of run-time performance, energy, and memory requirements on IoT devices. Notably, we find that low-power devices can deploy a smart contract in 215 ms on average, and they can complete an off-chain payment in 584 ms on average.
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