Low-power-consumption long-distance communication method based on Internet of Things

By generating dynamic status tags and adjusting control strategies, the communication behavior of IoT nodes is optimized, which solves the problem of balancing energy consumption and quality in long-distance communication, improves the efficiency of exception handling and reduces energy consumption.

CN120812554AActive Publication Date: 2025-10-17ZHEJIANG UNIV
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Patent Information

Application Number
CN202511308034.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-15
Publication Date
2025-10-17
Estimated Expiration
2045-09-15

AI Technical Summary

Technical Problem

When IoT devices communicate over long distances, it is difficult to balance energy consumption and communication quality. Existing technologies fail to effectively adapt to the collaborative processing of multi-node anomalies, resulting in increased energy consumption and low efficiency in identifying communication anomalies.

Method used

By analyzing the relative coverage, distance and sleep instruction execution time of IoT nodes, dynamic status tags are generated, abnormal nodes are identified, and control strategies are adjusted to optimize communication behavior and reduce energy consumption.

Benefits of technology

The exception handling efficiency of IoT nodes after the execution of sleep instructions is improved, the response time is shortened, the overall energy consumption is reduced, and the communication quality is improved.

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Abstract

The invention relates to the technical field of Internet of Things communication, in particular to an Internet of Things-based low-power-consumption remote communication method, which comprises the following steps of: acquiring data information of each Internet of Things node to form a communication behavior corresponding to each Internet of Things node; the method comprises the following steps: acquiring communication times and associated parameters of each communication behavior, and deriving a state label of each Internet of Things node according to a relative coverage range and a relative distance of each Internet of Things node; performing abnormal behavior analysis on the Internet of Things nodes in the different state labels based on the dormancy instruction received by each Internet of Things node, and evaluating the index deviation degree of each Internet of Things node under the abnormal communication behavior; generating a parameter processing sequence based on the index deviation degree of each Internet of Things node; and performing anomaly detection on the parameter processing sequence according to the number of abnormal nodes on each Internet of Things node during transmission, and adjusting the control strategy of each Internet of Things node according to the distribution difference of each abnormal node. And the reliability and efficiency of low-power-consumption remote communication are realized.
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