Abstract Nowadays, Wireless Sensor Network (WSN) based Internet of Things (IoT) is a
highly developed field that shows a promising area for research because they are …

The advent of sensors that are light in weight, small-sized, low power and are enabled by
wireless network has led to growth of wireless sensor networks (WSNs) in multiple areas of …

A short time ago Internet of Things (IoTs) is being applied in many fields like healthcare
systems, disease forecasting, etc. Even though the IoTs has enormous promise in a variety …

Abstract Wireless Sensor Network (WSN), a group of small sensor nodes with lower energy
states are widely used for the purpose of communication. While designing the WSN system …

Typically, there are a lot of challenges to be faced with providing better performance and
energy optimization in the Internet of Things (IoT) in a smart city. In IoT and wireless sensor …

Nowadays, internet of things (IoT) applications, especially in smart cities, are fast
developing. Clustering is a promising solution for handling IoT issues such as energy …

In this work, we propose a hybrid clustering algorithm that integrates Fuzzy C-Means (FCM)
and Whale Optimization Algorithm (WOA) using the Chebshev distance function. The FCM …

Abstract Internet of Things (IoT) is a new age technology that connects virtually every IP-
enabled things in the world. Because of the constrained nature of the resources, energy …

The internet of things (IoT) and industrial IoT (IIoT) play a major role in today's world of
intelligent networks, and they essentially use a wireless sensor network (WSN) as a …

Partitional data clustering with K-means algorithm is the dividing of objects into smaller and
disjoint groups that has the most similarity with objects in a group and most dissimilarity from …