Overview

Innovative strategies and techniques to extend the wireless sensor networks. Wireless sensor networks (WSNs) play a crucial role in various applications, including environmental monitoring, industrial automation, and smart cities. However, the limited energy resources of individual sensor nodes pose significant challenges to the longevity and sustainability of these networks. It explores a variety of approaches to optimize energy consumption and improve the overall efficiency of WSNs. Energy-efficient communication protocols, adaptive data aggregation techniques, and intelligent sleep-wake scheduling algorithms are investigated to reduce unnecessary energy consumption and prolong the operational life of the network. One of the primary goals of this research is to enhance the network's energy harvesting and recharging capabilities. By integrating renewable energy sources, such as solar, wind, or kinetic energy, sensor nodes can replenish their energy reserves, ensuring more extended periods of autonomous operation without the need for frequent battery replacements. This delves into the development of energy-aware routing algorithms. These algorithms intelligently route data through the network, considering the energy levels of individual nodes and aiming to balance energy consumption across the entire WSN. This prevents the premature depletion of specific nodes and promotes uniform energy distribution, leading to a more prolonged network lifetime.

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