An Opportunistic Routing Method for Ocean Underwater Wireless Perception Networks Based on Reinforcement Learning

Abstract

The present invention's opportunistic routing method for ocean underwater wireless perception network based on reinforcement learning includes: step 1: randomly and uniformly deploy sensor nodes; step 2: select a candidate forwarding set from a set of neighbor nodes; step 3: combine opportunistic routing and reinforcement learning The algorithm comprehensively considers various state information of the node, and selects the relay node in real time; Step 4: If there is no suitable relay node in the forwarding node, activate the recovery mechanism; Step 5: Set the dynamic timer according to the priority of the node, Step 6 : determine whether the current node is within the communication range of the base station, if so, the node communicates directly with the base station; if not, continue to repeat steps 2-4 to select a relay node until the data packet is transmitted to the base station. Aiming at the problem of routing holes, the present invention introduces a corresponding recovery mechanism, so that data packet transmission can quickly bypass the hole area and continue to forward, thereby improving the delivery rate of data packets and network robustness.

Description

technical field [0001] The invention relates to the technical field of routing methods for marine wireless sensor networks, in particular to an opportunistic routing method for marine underwater wireless sensor networks based on reinforcement learning. Background technique [0002] Ocean underwater wireless perception network has attracted extensive attention in recent years due to its powerful capabilities of ocean monitoring and resource exploration. The underwater sensor nodes can collect marine hydrological data and send it to the sink node on the water surface. The sink node can then transmit the data to the monitoring center on the shore through satellite or long-distance wireless communication for further data analysis, thereby realizing marine environment prediction. , disaster forecasting, early warning and military marine situational awareness and other functions. [0003] In the process of designing and deploying the marine underwater wireless perception network,...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an opportunistic routing method for marine underwater wireless sensory networks based on reinforcement learning to solve the problems of certain bit error rate, high time delay, low communication bandwidth, and limited energy of sensor nodes in traditional wireless sensory networks.

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