End-to-end throughput maximization method based on linear network

Through real-time monitoring of node status of wireless sensor network and the use of CSMA/CA protocol, combined with RTS/CTS mechanism and binary index retransmission algorithm, network topology instability and high cost in large-scale deployment in wireless sensor networks are solved. The problem of improving end-to-end throughput and transmission reliability.

CN119300170AActive Publication Date: 2025-01-10SHENYANG UNIVERSITY OF TECHNOLOGY
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Patent Information

Application Number
CN202411356853.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-27
Publication Date
2025-01-10
Estimated Expiration
2044-09-27

AI Technical Summary

Technical Problem

Existing wireless sensor networks have low end-to-end throughput due to network topological instability and high deployment costs in large-scale deployment, and existing methods have increased transmission delays in high traffic or emergency communication scenarios, which cannot meet real-time and frequent adjustment of transmission power may lead to instability of the communication link.

Method used

Through real-time monitoring of the sensor node status, the optimal sending node is dynamically selected within the group, the CSMA/CA protocol is used to coordinate the communication between multiple nodes with the RTS/CTS mechanism, and the data transmission reliability is ensured through the optimized binary exponential retransmission algorithm.

Benefits of technology

It improves the end-to-end throughput and transmission reliability of wireless sensor networks, reduces computing overhead, and is highly adaptable, avoids the problem of overall coordination and unity in large-scale networks, and reduces deployment costs.

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Abstract

The invention provides an end-to-end throughput maximization method based on a linear network, and relates to the technical field of wireless sensor networks, and the method comprises the steps: firstly carrying out the linear deployment of sensor nodes in the network, and completing the intra-group and inter-group division of the sensor nodes; calculating the energy consumption of each node according to a transmission and receiving energy consumption model of the nodes to obtain the residual energy of the nodes; according to the residual energy of the nodes, the priorities of the nodes in the groups are calculated, the nodes in the groups distribute different backoff window waiting durations according to the priorities, and when the edge uplink nodes in the groups are ready for data transmission, the edge uplink nodes enter inter-group transmission competition; whether the data is within the data transmission interference range or not is judged through the inter-group interference model, after the backoff time is over, the source node carries out data transmission again, a retransmission mechanism is executed, and the reliability and the transmission success rate of the data are ensured.
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Citation Information

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