Router Minimization and Lifetime Maximization in WSNs

This research focuses on enhancing the performance of Wireless Sensor Networks (WSNs) by addressing two critical aspects: router minimization and lifetime maximization. WSNs consist of numerous sensor nodes interconnected through routers, forming a network to gather and transmit data efficiently. However, the deployment of routers in WSNs often leads to resource constraints, communication overhead, and limited network lifetime.

The first aspect, router minimization, aims to reduce the number of routers while maintaining network connectivity and coverage. By strategically selecting fewer high-capacity routers and leveraging advanced routing algorithms, the researchers aim to optimize network resources and minimize energy consumption.

The second aspect, lifetime maximization, concentrates on prolonging the operational duration of WSNs. This involves developing energy-efficient protocols, adaptive power management techniques, and introducing energy harvesting strategies to extend the network's lifespan.

The combination of router minimization and lifetime maximization approaches seeks to enhance the overall performance of WSNs, enabling their deployment in various applications such as environmental monitoring, smart cities, healthcare, and industrial automation.