Performance Analysis of Clustering Technique using LEACH in Wireless Sensor Networks

This study discusses about various approaches available for achieving energy-efficient data collection in wireless sensor networks. In wireless sensor networks, movable sink (MULE-Mobile Ubiquitous LAN Extensions) moving at a constant pace over a constrained path may increase energy efficiency. The mobile sink may randomly visit each sensor node and gather data in a short amount of time. These methods provide several hurdles in terms of data collection and power usage. To overcome this issue, this study has created the Maximum Amount Shortest Path (MASP) data gathering approach, which boosts performance. The MASP system is implemented using a twophase communication mechanism. Simulations in NS2 are used to test the suggested algorithms and protocols. The wireless sensor network has gotten a lot of interest in the academic community in the past several years. Many factors, such as resource limits on energy and power needed for computing, have been extensively researched. Because sensor nodes are battery-operated devices, the fundamental challenge in Wireless Sensor Networks i s reducing the amount of energy spent by the nodes so that the network’s lifetime may be extended. WSN also has privacy problems. Taking these two factors into consideration, this study examines the energy consumption of sensor node components and highlight the key possibilities for energy conservation in WSN in this work. Different battery management and security strategies that are currently available in WSN are also analyzed. Finally, this research study has come up with some energy saving ideas for future WSN research.