CLUSTERING ISSUES IN INTERNET OF THINGS: STATE OF ART

  • Ms. Shweta B. Guja et al.

Abstract

Internet of Things is a network of large number of sensing devices which are connected to the internet
via other sensing devices for the exchange of information. These sensing devices are resource
constrained. Once deployed in a field, it is impossible to charge these nodes. Due to energy scarcity
of energy, there is need to provide a solution for building energy efficient IoT network, clustering is
one of the solution.
In clustering technique, the nodes are grouped together to form cluster and then cluster heads are
selected. In a particular cluster, the member node senses the data and transmits this data to the
cluster head. The cluster head then gathers the data, preprocess it and then transmits it to the base
station. Clustering the network are having many benefits, including load balancing, scalability,
energy efficiency, increased network lifetime etc. In current state of art many clustering algorithms
are developed by various researchers but most of them are application specific.
This paper focuses on the study of some of the clustering algorithms and also discusses the open
challenges in this research domain.

Published
2020-02-16
Section
Articles