Energy Efficient Cluster Based Algorithm Technique for Wireless Sensor Networks

Abstract

Wireless sensor network [WSN] energy efficiency is the most critical task of researchers. Power regulation is a very effective technique for interference minimizing in WSN and energy consumption. WSN with several nodes linked to the network, including transmitting power to measure network output. The energy usage is connected to node size and weight. Aggregation data secure in WSN is a highly challenging activity. In this research paper suggested stable aggregation of data using fuzzy logic, based on clustering techniques. The clustering method is done in a network. The distance power consumed and faith value are measured for each cluster. The stable data aggregation using fuzzy logic techniques (FLT) is based on these parameters. The proposed research work would minimize energy usage to increase the lifespan of WSN.

Predictive Model Techniques with Energy Efficiency for IoT-Based Data Transmission in Wireless Sensor Networks

“…Sensors in public space WSNs are regularly subjected to harsh or hostile environmental conditions, such as high temperature, humidity, pressure, dust, rain, snow, and other elements that affect WSN performance, necessitating the use of robust and resilient sensor nodes. Limited resources, limited communication capability, stability, fault tolerance, bandwidth, mobility, result precision, availability, trust, accountability, heterogeneity, integration, uncontrollable environment, technology, and denial of service attacks are some of the other issues and future challenges for WSNs (DoS) [21][22][23][24][25][26].…”