Paper Contents
Abstract
Wireless Sensor Networks (WSNs) are integral to various applications, ranging from environmental monitoring to healthcare systems and industrial automation. These networks, comprising energy-constrained nodes, play a vital role in collecting and transmitting real-time data for remote sensing and surveillance. However, the efficient routing of data in WSNs is a critical challenge, particularly in terms of energy consumption. Existing routing protocols may not prioritize energy efficiency, leading to premature depletion of node energy and diminishing network performance. This problem statement focuses on addressing this challenge by developing and implementing energy-efficient routing algorithms. The objective is to design novel protocols that effectively manage node energy consumption, adapt to dynamic network conditions, and incorporate data aggregation and compression techniques. The expected outcomes include improved energy efficiency, enhanced adaptability to changing environments, and prolonged network lifespan. The significance lies in the potential to optimize the performance and reliability of WSNs, impacting fields such as environmental monitoring, healthcare, and industrial automation.
Copyright
Copyright © 2023 Preet Kamal Singh, Harmeet Singh, Jaspreet Kaur. This is an open access article distributed under the Creative Commons Attribution License.
