Jul 1, 2022 · In the past two decades, network clustering has been proven as efficient approach for data collection and routing in wireless sensor networks (WSNs). It provides several …

Oct 4, 2017 · In this chapter, we have outlined a few modern energy-efficient clustering approaches to improve the lifetime of WSNs. The proposed clustering methods are: (i) fuzzy …

Clustering algorithm: In order to support multimedia traffic, the wireless n/w layer must guarantee QoS (bandwidth and delay) for real-time traffic components. Providing Q.s for multimedia …

Jul 29, 2015 · This work proposes to study and compare K-means, hierarchical clustering and fuzzy C-means clustering (FCM) algorithms to design a response time aware scheduling …

6 days ago · There are two types of clustering techniques. The clustering technique applied in homogeneous sensor networks is called homogeneous clustering schemes, and the clustering …

Feb 5, 2023 · In this respect, clustering-based algorithms have proven to be more efficient for better data transmission throughout the network lifetime. In this paper, we review the state-of …

Abstract: This document describes the various clustering techniques used in wireless sensor networks. Wireless sensor networks are having vast applications in all fields which utilize …

Jun 27, 2022 · Among the several applications of clustering to Wireless Networking, we focus on two publications originating from the Windmill ITN project, namely: Pilot Assignment for Cell …

In this chapter, we have outlined a few modern energy-efficient clustering approaches to improve the lifetime of WSNs. The proposed clustering methods are: (i) fuzzy-logic-based cluster head …

Oct 15, 2007 · We survey different clustering algorithms for WSNs; highlighting their objectives, features, complexity, etc. We also compare of these clustering algorithms based on metrics …