A new cooperative MIMO scheme based on SM for energy-efficiency improvement in wireless sensor network

Area of Science:

• Wireless Sensor Networks (WSN)
• Wireless Communications
• Energy Efficiency

Background:

• Energy efficiency is critical for wireless sensor networks (WSN).
• Traditional Multiple-Input Multiple-Output (MIMO) is limited by sensor node size.
• Cooperative Multiple-Input Multiple-Output (CMIMO) offers a viable solution for WSNs.

Purpose of the Study:

• To propose a novel CMIMO scheme integrated with Spatial Modulation (SM), termed CMIMO-SM, for enhanced energy efficiency in WSNs.
• To analyze and compare the energy consumption per bit of CMIMO-SM against conventional CMIMO.
• To extend the CMIMO-SM scheme to multihop clustered WSNs, optimizing hop length for further energy savings.

Main Methods:

• System model establishment for the proposed CMIMO-SM scheme.
• Graphical introduction of the transmission approach.
• Detailed energy consumption per bit analysis and comparison with conventional CMIMO.
• Extension of CMIMO-SM to multihop clustered WSNs with optimal hop-length determination.

Main Results:

• The proposed CMIMO-SM scheme demonstrates significant savings in total energy consumption compared to conventional CMIMO.
• Optimizing hop length in multihop clustered WSNs further enhances energy efficiency.
• Simulations and numerical experiments validate the effectiveness of the CMIMO-SM scheme.

Conclusions:

• The CMIMO-SM scheme is an effective strategy for improving energy efficiency in WSNs.
• The proposed scheme offers substantial energy savings, particularly in multihop clustered WSN deployments.
• Integration with monitoring sensor nodes provides robust performance for WSN applications, such as forest fire detection.