Enhancing Energy Efficiency in Wireless Sensor Networks Using Virtual MIMO Technology

Abstract

This study investigates utilizing Virtual Multiple Input Multiple Outputs (MIMO) methodologies to boost energy efficiency in wireless sensor network communication. It proposes an innovative approach to routing that capitalizes on virtual MIMO technology, scrutinizing its effectiveness across consistent and adaptable transmission rates. By employing a cluster-based virtual MIMO framework, this study aims to adjust operational variables to enhance communication energy efficiency significantly. The research prioritizes optimizing routing paths, specifically tailoring them to minimize the virtual MIMO communication cost. This strategic focus aims to extend the operational lifespan of the network's initial node, delaying its energy depletion. Through comprehensive simulation analyses, findings reveal that the virtual MIMO-based routing strategy significantly surpasses the energy efficiency of traditional Single Input Single Output (SISO) approaches and various other MIMO configurations, especially notable when managing communications over extended distances. This advancement holds promising implications for developing more sustainable and efficient wireless sensor networks.

Keywords Wireless Network, Virtual MIMO, Space-time block code, Diversity Data rate