NEC had 47 patents in internet of things during Q1 2024. The NEC Corp patents filed in Q1 2024 include technologies for identifying suitable edge servers based on congestion state, providing recommendations to users based on temporal knowledge graphs, estimating stress levels accurately using measurement data, determining if a user is wearing a wearable device based on acoustic information, and controlling functions of a base station based on device IDs received from user devices. GlobalData’s report on NEC gives a 360-degree view of the company including its patenting strategy. Buy the report here.

NEC grant share with internet of things as a theme is 38% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Server, requesting entity, and methods therefor (Patent ID: US20240107424A1)

The patent filed by NEC Corp. describes a system where a first server in an edge data network attempts to identify a second server based on selection criteria, including the congestion state of servers in the network. If the second server is identified, information is sent to the requesting entity; otherwise, a rejection message is sent. This system aims to provide suitable selection criteria for identifying an edge server efficiently.

The patent further details a radio terminal that sends an Edge Application Server (EAS) discovery request to an edge server and receives a response indicating rejection due to congestion, along with information on the waiting period before a new request can be made. The radio terminal may include an Edge Enabler Client (EEC) and the edge server an Edge Enabler Server (EES) located in an Edge Data Network (EDN). Additionally, methods for the radio terminal and edge server are outlined, emphasizing the communication process and congestion management within the network. These innovations aim to streamline server discovery and selection processes in edge data networks, enhancing overall network efficiency and performance.

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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.