Itron. has been granted a patent for a method that evaluates connections in a mesh network. The technique involves identifying potential parent nodes, computing their message success rates, and selecting the most effective parent node based on these rates to optimize message transmission and reception. GlobalData’s report on Itron gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Itron, V2G smart metering was a key innovation area identified from patents. Itron's grant share as of July 2024 was 53%. Grant share is based on the ratio of number of grants to total number of patents.
Mesh network node connection evaluation method
The patent US12068931B2 outlines a method for selecting a parent node within a mesh network, focusing on optimizing message transmission success rates. The process begins with a first node identifying multiple potential parent nodes and receiving their respective accumulated uplink and downlink message success rates. These rates indicate the likelihood of successful message transmission to a target destination and successful message reception from that destination. The first node then computes combined accumulated message success rates based on the received data and selects one potential parent node as the parent based on these computed rates.
Further claims detail the method's complexity, including the computation of second accumulated uplink message success rates derived from local success rates and the received accumulated rates. The selection process may involve comparing success rates among potential parent nodes, filtering based on predefined criteria, and applying hierarchical secondary selection criteria. The patent also encompasses non-transitory computer-readable media that store instructions for executing these methods, emphasizing the adaptability of the system to various network conditions and the importance of message success rates in determining optimal node relationships within the mesh network.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
