Adaptive routing strategies for energy conservation using power self-optimization technique in wireless sensor networks

Wireless Sensor Networks (WSNs) have received considerable focus from few years because of their diverse set of domains including military surveillance, environmental monitoring, and healthcare. These networks offer efficient data collection and transmission capabilities. However, a major challenge in WSNs is energy consumption, particularly during data transmission. The network's effectiveness largely relies on the availability of functional nodes. If inactive or dead nodes exist along a designated transmission path, communication delays and increased energy consumption may occur. Additionally, transmitting data at high power levels can cause interference, leading to inefficient transmission and power wastage.