Open AccessA Review on Energy-Efficient Mechanisms for Cluster-Head Selection in WSNs for IoT Application
Author(s) -
Ankur Goyal,
Shivam Mudgal,
Sandeep Kumar
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1099/1/012010
Subject(s) - wireless sensor network , internet of things , computer science , variety (cybernetics) , cluster analysis , process (computing) , field (mathematics) , cloud computing , efficient energy use , selection (genetic algorithm) , computer network , cluster (spacecraft) , distributed computing , embedded system , engineering , artificial intelligence , mathematics , pure mathematics , electrical engineering , operating system
Internet of things (IoT) incorporates sensing, connectivity, networking, or cloud computing technology into a wide variety of control fields. The wireless sensor networks (WSNs) are better placed for IoT applications. Developing an energy-efficient (EE) cluster head (CH) system is of great importance to enhance the network life of WSNs. WSNs are now becoming an emerging research field through technological growth. Sensors are integrated to gather the data from which this is known in a collective of clusters. CH maintains a process of transmission that requires high energy. This review paper discusses various techniques, advantages, disadvantages, objectives, and different methods for EE clustering techniques in WSN on IoT-related research. This study is beneficial to identify the problems associated with EE-CHS in WSN and how to resolve it.