Sensor networks can be federated for wide-area geographical coverage using RELOAD/CoAP architectures. In this case, proxy nodes of constrained environments form a P2P overlay to announce device resources or sensor data. Although this is a standard-based solution, consistency problems may arise because P2P resources (data objects stored at the overlay network) may end up including similar device resource entries. This is so because device resource entries, or sensor data, can be announced under different P2P resource umbrellas, meaning that any update to them will require changing multiple P2P resources. Here in this article, a multi-layer approach is proposed to solve this issue, allowing for a more efficient storage/retrieval of IoT data. Information at the overlay network is kept consistent, although additional P2P anonymous resources must be created. A mathematical model is proposed for the planning of such multi-layer organization of P2P resources, together with a heuristic algorithm. A required overlay service is also discussed.

可以使用 RELOAD/CoAP 架构联合传感器网络以实现广域地理覆盖。在这种情况下，受限环境的代理节点形成一个 P2P 覆盖层来通告设备资源或传感器数据。虽然这是一个基于标准的解决方案，但可能会出现一致性问题，因为 P2P 资源（存储在覆盖网络的数据对象）可能最终包括类似的设备资源条目。这是因为设备资源条目或传感器数据可以在不同的 P2P 资源伞下公布，这意味着对它们的任何更新都需要更改多个 P2P 资源。在本文中，提出了一种多层方法来解决这个问题，从而可以更有效地存储/检索物联网数据。覆盖网络上的信息保持一致，尽管必须创建额外的 P2P 匿名资源。提出了一种数学模型来规划这种 P2P 资源的多层组织，并结合启发式算法。还讨论了所需的覆盖服务。