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Performance Improvement Using Polarization Diversity in Precise Agriculture Communication Platform

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Abstract

The use of wireless sensor network (WSN) is essential for gathering data and implementation of information and control technologies in precision agriculture. The efficiency of such smart system strongly depends on WSN reliability and durability, which is highly influenced by wireless channel. Relaying of the collected data over the intermediate nodes has been proven as a good strategy for WSNs. In this paper we assume amplify-and-forward relaying strategy with variable gain amplification. In order to improve system performance we propose implementation of polarization diversity. It is assumed that all communication links are influenced by Rician fading. Thus, in the case of polarization diversity, link between the source and the relay is characterized as two correlated and non-identical Rician fading channels. In this paper, we present a novel analytical model for determining the outage probability of such system, which is applicable to various fading scenarios described with different Rician K factors and average signal to noise ratios (SNR), as well as different level of diversity signals correlation and cross-polar discrimination. Numerical results show that, using polarization diversity, improvements for the considered system performance can be realized with significantly lower SNR, despite a certain level of correlation and power unbalance between the diversity branches. In that manner, compared to the system with no diversity, the total needed transmit power for achieving the same level of system performances is reduced, and thus more energy efficient communication is enabled.

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Acknowledgments

This research is supported by REGPOT project Fostering innovation based research for e-Montenegro (Fore-Mont) and the HERIC project through the BIO-ICT Centre of Excellence (Contract No. 01-1001).

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Correspondence to Maja Delibasic.

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Delibasic, M., Pejanovic-Djurisic, M. Performance Improvement Using Polarization Diversity in Precise Agriculture Communication Platform. Wireless Pers Commun 92, 169–179 (2017). https://doi.org/10.1007/s11277-016-3844-1

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