Trusted routing method for software-defined underwater acoustic sensor network

CN115835326BActive Publication Date: 2026-06-23HOHAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HOHAI UNIV
Filing Date
2022-11-25
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing underwater acoustic sensor network protocols are inadequate in terms of network security, especially in the face of malicious internal attacks. Furthermore, traditional distributed networks are not conducive to the deployment of reinforcement learning algorithms, resulting in poor network security and routing efficiency.

Method used

By employing a software-defined networking (SDN) controller combined with the Q-learning algorithm, a trusted routing scheme SDN-QLTR is constructed through trust assessment and routing policy design. This scheme evaluates the link, data, and node trust values ​​of nodes, selects reliable relay nodes, optimizes routing decisions, and sets waiting times and retransmission mechanisms.

Benefits of technology

It improves the security and data transmission reliability of underwater acoustic sensor networks, enhances the ability to resist internal attacks, and optimizes the dynamic adaptation and management of network resources.

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Abstract

The application discloses a kind of software-defined underwater acoustic sensor network-oriented trusted routing method, its steps include: constructing network model, network is layered, different layers have different functions, and mutually cooperate to execute task;Sensor node obtains the information of neighbor node by listening channel or communication, including link, data packet and node itself etc., so as to evaluate the trustworthiness of neighbor node from link, data and node itself three aspects;Then SDN controller collects the information of sensor node and perceives the topology of network, and formulates routing strategy for underwater sensor node based on Q-learning algorithm.The application combines Q-learning algorithm, SDN idea and opportunistic routing, can effectively solve the security problem in data routing, and reduce transmission delay, balance the energy of node to prolong network life.
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