The results show that our approach improves the quality of the proposed solution adding a small time overhead when compared to the TOPSIS algorithm used by ViSIoT. Our case study considers a real agricultural problem to be solved by the ViSIoT tool. In this paper, we propose an elimination-selection algorithm for search and discovery of resources in IoT environments. One of the main challenges in IoT platforms will be the search and discovery of resources in large-scale and heterogeneous environments for reuse by other applications to support their specific requirements. IoT platforms will play a key role, as they will be responsible for managing low-level devices and data acquisition processes, and also support the development of new applications. more Every day more and more objects are connected to the Internet to sense or actuate in some environment, composing the Internet of Things. Simulation results show that the proposed approach can achieve a fast content distribution across the whole area, and the performance on network average delay is much better than other heuristic approaches.Įvery day more and more objects are connected to the Internet to sense or actuate in some environ. Considering the multicast feature, we first formulate the problem as a coalitional game based on the payoffs of content requesters, and then, propose a time-varying coalition formation based algorithm to spread the popular content within the shortest possible time. We consider a cross-layer multi-dimension optimization involving frequency, space, and time, to minimize the network average delay. In this paper, we address the content distribution problem by multi-hop D2D communication with decentralized content providers locating in the networks. Device-to-device (D2D), as one advanced technique to achieve the vision of IoT, supports a high speed peer-to-peer transmission without fixed infrastructure forwarding which can enable fast content distribution in local area. more -With the ubiquity of wireless network and the intelligentization of machines, internet of things (IoT) has come to people's horizon. With the ubiquity of wireless network and the intelligentization of machines, internet of things. Then, we numerically compared both the deployments, in terms of end-to-end latency and gateway CPU load, also deriving some ideal capacity bounds. More in detail, we adopted two different anomaly detection algorithms, namely Elliptic Envelope and Isolation Forest, that were purposely trained and deployed on an affordable IoT gateway to detect anomalous sound events happening in an office environment. First, to assess the effectiveness of the proposed solution, we deployed a real smart environment showcase. Here, an anomaly detection algorithm executed as a micro-service is capable of analyzing the received features, hence detecting audio anomalies in real-time. In this paper, we propose a design framework for smart audio sensors able to record and pre-process raw audio streams, before wirelessly transmitting the computed audio features to a modular IoT gateway. To alleviate these limitations, computation should be moved as much as possible towards the IoT edge, that is on gateways, if not directly on data producers. However, this approach poses several challenges due to latency, privacy, and dependency on network connectivity between data producers and consumers. These objects increasingly interact with machine learning applications that perform feature extraction and model inference in the cloud. more Everyday objects are becoming smart enough to directly connect to other nearby and remote objects and systems. Everyday objects are becoming smart enough to directly connect to other nearby and remote objects.
0 kommentar(er)
