An optimal bit error rate (BER) estimation method considering multiple energy consumption factors

Abstract

The invention relates to an optimal bit error rate estimation method which comprehensively considers multiple energy consumption influencing factors, according to different indoor environment, combined the influence of indoor distance, walls, number of floors, indoor obstacles on the obstruction and reflection of wireless sensor networks, the influence of shadow fading caused by the obstruction and reflection of wireless sensor networks is analyzed, and the energy loss model of the path distance of wireless sensor networks in the face of indoor obstacles is analyzed and derived with consideration of the impact of multiple impact factors in the reality of indoor communication on the transmission quality of wireless sensor networks. Meanwhile, with guaranteed transmission quality, combined with the influence factors of energy consumption caused by frame retransmission due to BER, the energy loss model of frame retransmission in wireless sensor network considering indoor obstruction shadow fading is analyzed and deduced, and the optimal BER is found to optimize the energy consumption model of the whole network, and then the path optimization of signal transmission is realized.

Description

technical field [0001] The present invention relates to data transmission of wireless sensor networks, in particular to an optimal bit error rate estimation method comprehensively considering various energy consumption factors, which can be applied to indoor wireless sensors in communication, machinery, electronics, electricity, computer networks, etc. Network node location layout and node transmission protocol design. Background technique [0002] Wireless sensor networks are widely used because of their flexible network settings and convenient device location changes. Especially in indoor environments, wireless sensor networks have many applications. The wireless sensor network is composed of a large number of randomly deployed nodes. These nodes have the characteristics of miniature and cheap. Through wireless communication, a multi-hop self-organizing network is formed to sense certain physical phenomena, thereby expanding the remote interaction between people and the re...

AI Technical Summary

Problems solved by technology

[0003] At present, when wireless networks are transmitted indoors, most of the influences of indoor transmission distance, wall reflection, obstacle barriers, and floor barriers on the transmission energy consumption of wireless sensor nodes are considered separately. Node energy consumption loss is also related to network physical layer factors such as wireless network transmission power, transmission module circuit energy consumption parameters, receiving module energy consumption parameters, transmission rate, frame loss retransmission rate, etc. Therefore, in actual use, as much as possible Only by comprehensively integrating the above multiple influencing factors can a more accurate bit error rate estimation model be constructed.

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