Performance Analysis of MIMO Heterogeneous Wireless Sensor Networks
Saurabh Mishra1, Rakesh Ranjan2, Sonika Singh3, Gagan Singh4
1Saurabh Mishra, Assistant Professor, Department of EECE, DIT University, Dehradun (Uttarakhand), India.
2Prof. Rakesh Ranjan, Professor & Vice Chancellor, Sushant University Gurgaon (Haryana), India.
3Dr. Sonika Singh, Associate Professor, Department of EECE, DIT University, Dehradun (Uttarakhand), India.
4Dr. Gagan Singh, Professor, Department of EECE, DIT University, Dehradun (Uttarakhand), India.
Manuscript received on 05 October 2023 | Revised Manuscript received on 03 November 2023 | Manuscript Accepted on 15 November 2023 | Manuscript published on 30 November 2023 | PP: 25-31 | Volume-12 Issue-12, November 2023 | Retrieval Number: 100.1/ijitee.L974211121223 | DOI: 10.35940/ijitee.L9742.11121223
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Wireless Sensor Networks (WSN) are widely used in remote applications related to defence and healthcare. A network with nodes having different capabilities like sensing, various computational capabilities, power-efficient communication, and a varied sensing range is called a heterogeneous wireless sensor network. Heterogeneous wireless sensor networks using MIMO wireless channels are more useful for energy-efficient multi-channel communication. MIMO applications in wireless sensor networks have the potential to enhance throughput, reduce End-to-End Delay, improve packet delivery ratios, and conserve energy in wireless sensor networks. Its implementation needs to be carefully considered in light of the specific deployment conditions and resource constraints of the network, considering proper antenna design, synchronisation mechanisms, and energy-efficient algorithms. This paper presents a comparative performance analysis of MIMO wireless sensor networks and traditional wireless sensor networks without MIMO for various Quality of Service parameters like Packet Delivery Ratio, End to End Delay, Throughput and Residual energy. The research work shows that the application of MIMO in Wireless Sensor Networks enables sensor nodes to collaborate effectively, leading to improved reliability and coverage, and also increases the network’s lifetime by conserving energy in resource-constrained sensor nodes through the preservation of Residual Energy.
Keywords: Wireless Sensor Networks; Heterogeneous Networks; Throughput, End to End delay; packet delivery ratio; residual energy, MIMO
Scope of the Article: Wireless Sensor Networks