DETECTING NETWORK EVENTS HAVING ADVERSE USER IMPACT

    公开(公告)号:US20240291743A1

    公开(公告)日:2024-08-29

    申请号:US18656206

    申请日:2024-05-06

    摘要: A method includes receiving, by a network management system, network data from a plurality of network devices configured to provide a network at a site; receiving, by the processing circuitry, user impact data from a plurality of client devices that access the network at the site; determining, based on the network data, a pattern of one or more network events occurring over time; correlating in time the pattern of the one or more network events to an adverse user impact event indicated by the user impact data received from the plurality of client devices; and determining, in response to the correlating, an instance of overwhelming network traffic having an adverse user impact. In some examples, the network data includes network traffic impact data, such as a number of packets dropped at a switch port due to congestion.

    WSN clustering routing method based on optimization with salp swarm algorithm

    公开(公告)号:US11800425B2

    公开(公告)日:2023-10-24

    申请号:US17566735

    申请日:2021-12-31

    摘要: A wireless sensor network (WSN) clustering routing method based on optimization with salp swarm algorithm includes: S1: constructing an objective function by comprehensively considering factors as follows: node residual energy, a distance between cluster head nodes, a distance between a cluster member node and a cluster head node, a distance from a node to a base station, and a number of cluster head nodes; S2: solving the objective function by using a salp swarm algorithm, to find an optimal clustering scheme, and thus dividing the WSN into non-uniform clusters, wherein in each cluster, the cluster member node sends data to the cluster head node in a single-hop manner; S3: constructing a minimum spanning tree with the base station as a root node by using a routing utility function ƒ(CHi); S4: sending, by the cluster head node, data to the base station through routing organized by the minimum spanning tree.