Volume 17, Number 3

Energy Efficient Virtual MIMO Communication Designed for Cluster based on Cooperative WSN using Oleach Protocol

  Authors

Shitiz Upreti, Mahaveer Singh Naruka, Maharishi University of Information Technology (MUIT), India

  Abstract

Wireless sensor networks (WSNs) use a vast number of sensor nodes to monitor physical states. The restricted energy supplies of sensor nodes is a significant issue in wireless communication systems. Virtual MIMO (vMIMO) is an implementation that can potentially optimize the energy efficiency in WSNs by sending or receiving data from a large number of nodes, improving the signal quality, and minimizing power. This research presents Energy-Efficient Virtual MIMO Communication (EE-VMC), a new solution to Wireless Sensor Networks' (WSNs) energy efficiency problem. EE-VMC provides a practicable solution to long-term cooperative cluster-based WSN deployments with communication via virtual Multiple-Input Multiple-Output (MIMO).In order to spread energy efficiency through effective communication and reduced energy use, the proposed approach uses an enhanced LEACH (OLEACH) protocol. The OLEACH method performs well for wireless sensor networks, according to simulation data. At a level of -10dB of SNR, OLEACH provides the best Packet Delivery Ratio (PDR), which demonstrates improved performance in low signal-to-noise ratio. Increasing antennas enhances the performance of data delivery of OLEACH. Compared to cutting-edge protocols (LEACH, HEED, BRICH, and B-LEACH), OLEACH consistently outperforms them as far as PDR, SNR values, and rounds of data transfer are concerned. Furthermore, OLEACH has greater residual energy levels, a sign of enhanced energy management and enhanced network lifetime. The conclusions are supported by the results to further ascertain that OLEACH is a prospective algorithm for optimizing energy usage, enhancing packet delivery, and enhancing general performance of networks within wireless sensor networks.

  Keywords

Virtual MIMO, Clustering, LEACH, Optimization, Energy-Efficient.