In order to meet various needs of people, different Internet of Things (IoT) devices have been developed and applied successfully in recent years. However, the consequent challenges in terms of search efficiency, reliable requirements, and resource allocation appear followed, which attract attention from both academia and industry. Facing this circumstance, it is necessary to establish a new scheme to realize data processing and sharing better. Therefore, a reliable and efficient system based on edge computing and blockchain is proposed in this paper. First, a new group-agent strategy with trust computing is designed to ensure the reliability of edge devices during interactions and improve transmission efficiency. Second, we introduce a stacked task sorting and ranking mechanism which improves resource allocation in each edge device. Third, this paper creates a new content model that uses Zipf distribution to predict context popularity of keywords and encrypt hot data with symmetric searchable encryption (SSE) technology. Finally, simulation results show that the proposed scheme has better computational efficiency and higher reliability compared with existing methods.

为了满足人们的各种需求，近年来已经成功开发并应用了不同的物联网（IoT）设备。但是，随之而来的是搜索效率，可靠需求和资源分配方面的挑战，这引起了学术界和工业界的关注。面对这种情况，有必要建立一种新的方案来更好地实现数据处理和共享。因此，本文提出了一种基于边缘计算和区块链的可靠高效的系统。首先，设计了一种具有信任计算的新的组-代理策略，以确保交互期间边缘设备的可靠性并提高传输效率。其次，我们引入了堆叠式任务排序和排名机制，该机制改善了每个边缘设备中的资源分配。第三，本文创建了一个新的内容模型，该模型使用Zipf分布来预测关键字的上下文流行度，并使用对称可搜索加密（SSE）技术对热点数据进行加密。最后，仿真结果表明，与现有方法相比，该方案具有更高的计算效率和更高的可靠性。