A Review on Energy-Efficient Mechanisms for Cluster-Head Selection in WSNs for IoT Application
Ankur Goyal, Shivam Mudgal, Sandeep Kumar · IOP Conference Series Materials Science and Engineering · 2021
Abstract 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.