… The major contribution of this research work is to obtain an efficient clustering and
scheduling model for edge computing to reduce the latency and computational complexities. To …

… the Internet of Things (IoT) … , IoT services must make the most out of both cloud and fog
computing (turning into combined fog–cloud scenarios), which indeed requires novel and efficient …

… clustering and disease diagnosis using IoT devices. The proposed model operates on three
main subsystems namely user subsystem, cloud … place using the IoT medical devices from …

… efficient clustering framework for AIS that hierarchically performs geo-textual clustering without
significantly lowering the clustering … time and memory efficiency while reducing the overall …

… plethora of energy efficient clusterbased routing techniques has been existing in the literature
[6], [7]. The clustering involves different grouping of the industry sensors into clusters. The …

Abstract: Numerous Internet of Things (IoT) systems produce massive … into the cloud is one
of the biggest problems. Edge computation helps users unload the workload again from cloud …

… services with geographically distributed data centers for industrial Internet-of-Things (IIoT) …
based energy efficient clustering approach for WSNs,” Wireless Netw., vol. 24, no. 6, pp. …

… In this work, we opted for an arborescent technique to create a set of clusters at the leaf
level; these clusters are intended to group the most similar data, depending on a part of the …

… efficiently, we propose a proactive mechanism that applies collaborative filtering techniques
to efficiently cluster … This allows brokers in the same cluster to exchange data directly with …

… algorithm with distances as input can be chosen to cluster object and produce multiple
clustering results. Here, the proposed method chooses the relatively efficient clustering by fast …