A GUI to Analyze the Energy Consumption in Case of Static and Dynamic Nodes in WSN

Abstract

Wireless sensor networks consist of spatially dispersed sensors for monitoring physical parameters in various applications and in organizing the collected data at centralized location. These days, energy is one of the main factors that need to be intelligently consumed in wireless sensor networks. Techniques which can perform energy efficient clustering are required to maintain reliable sensing. In this paper, we consider both static and dynamic nodes. For static nodes, direct communication and low energy adaptive clustering hierarchy algorithm calculations are examined and discussed. For dynamic nodes, the distance-based algorithm is presented which ensures that work is allocated evenly to the nodes. Further, the distance and energybased algorithm ensures that the nodes drain out evenly. Simulations are carried out on MATLAB. An easy-to-understand graphical user interface allows us to handily analyze the energy proficiency for various amount of nodes and clusters. The results are shown for four nodes and one cluster.

Design and implementation of duty cycle-based futuristic clustering technique in WSN

“…The requirement of a WSN is to achieve an energy efficient WSN with improved network lifetime [30], [31]. Even though many optimization techniques and algorithms are implemented [32], still there exists a need to identify more energy efficient algorithms for WSN with duty cycle approach.…”

Lifetime enhanced energy efficient wireless sensor networks using renewable energy

“…The results show that MATLAB helps in providing accurate simulation details for the network. Sagare et al [20] showed a basic understanding of the use of clustering and the role of probability in selecting the cluster head.…”