LOCALIZED MULTICAST IN A LOW POWER AND LOSSY NETWORK BASED ON RANK-BASED DISTANCE

    公开(公告)号:US20220353103A1

    公开(公告)日:2022-11-03

    申请号:US17866768

    申请日:2022-07-18

    Abstract: In one embodiment, a method comprises: identifying, by a low power and lossy network (LLN) device in a low power and lossy network, a minimum distance value and a distance limit value for limiting multicast propagation, initiated at the LLN device, of a multicast data message in the LLN; and multicast transmitting, by the LLN device, the multicast data message with a current distance field specifying the minimum distance value and a distance limit field specifying the distance limit value, the multicast transmitting causing a receiving LLN device having a corresponding rank in the LLN to respond to the multicast data message by: (1) determining an updated distance based on adding to the current distance field a rank difference between the receiving LLN device and the LLN device, and (2) selectively retransmitting the multicast data message if the updated distance is less than the distance limit value.

    PARENT DEVICE SHADOW EXECUTION FOR A SLEEPING LOW POWER AND LOSSY NETWORK CHILD NETWORK DEVICE

    公开(公告)号:US20210084591A1

    公开(公告)日:2021-03-18

    申请号:US16574295

    申请日:2019-09-18

    Abstract: In one embodiment, a method comprises: generating and storing, by a parent device in a low power lossy network (LLN), first state variables associated with a first execution state of an attached child during an active state of the child; determining a request, received by the parent device, is destined for the child and specifying a second execution state to be executed by the child; selectively updating, by the parent device, the first state variables with second state variables associated with the second execution state identifying an updated execution state for the child; detecting, by the parent device, that the child has transitioned from a sleep state to a second active state, and in response generating an instruction based on the second state variables; and transmitting the instruction to the child during the second active state, causing the child to execute the second execution state.

    PERIMETER FORMATION AND MOBILE DEVICE DETECTION IN A RPL NETWORK

    公开(公告)号:US20230319683A1

    公开(公告)日:2023-10-05

    申请号:US17712381

    申请日:2022-04-04

    CPC classification number: H04W40/246

    Abstract: In one embodiment, a method comprises: creating, by a root network device in a wireless data network, a perimeter topology comprising a first distance vector-protocol path of a first group of perimeter devices and a second distance vector-protocol path of a second group of the perimeter devices, the creating comprising outputting first and second advertisement messages causing the perimeter devices to attach to only one parent of only one of the first or second distance vector-protocol paths and a junction device to attach at respective ends of the first and second distance vector-protocol paths; and causing the junction device to forward, from the first distance vector-protocol path, a data packet toward the root network device via the second distance vector-protocol path.

    DYNAMIC TRANSMISSION POWER IN WIRELESS MESH NETWORKS USING SUPERVISED AND SEMI-SUPERVISED LEARNING

    公开(公告)号:US20210029653A1

    公开(公告)日:2021-01-28

    申请号:US16521184

    申请日:2019-07-24

    Abstract: In one embodiment, a technique for dynamic transmission power in wireless mesh networks using supervised and semi-supervised learning is provided. A first device of a mesh communication network may receive a set of transmission power metrics indicative of network conditions between a second device of the mesh communication network and a plurality of child nodes associated with the second device. The first device may provide the set of transmission power metrics as input to a supervised machine learning process that probabilistically determines one or more minimum transmission power thresholds for nodes of the mesh communication network. The first device may obtain an output from the supervised machine learning process comprising an indication of a particular minimum transmission power threshold for the second device. The first device may control the second device to exchange packets with the plurality of child nodes using the particular minimum transmission power threshold.

    LOCALIZED MULTICAST IN A LOW POWER AND LOSSY NETWORK BASED ON RANK-BASED DISTANCE

    公开(公告)号:US20210258182A1

    公开(公告)日:2021-08-19

    申请号:US16789862

    申请日:2020-02-13

    Abstract: In one embodiment, a method comprises: identifying, by a low power and lossy network (LLN) device in a low power and lossy network, a minimum distance value and a distance limit value for limiting multicast propagation, initiated at the LLN device, of a multicast data message in the LLN; and multicast transmitting, by the LLN device, the multicast data message with a current distance field specifying the minimum distance value and a distance limit field specifying the distance limit value, the multicast transmitting causing a receiving LLN device having a corresponding rank in the LLN to respond to the multicast data message by: (1) determining an updated distance based on adding to the current distance field a rank difference between the receiving LLN device and the LLN device, and (2) selectively retransmitting the multicast data message if the updated distance is less than the distance limit value.

    MESH NETWORK DEVICE ADJUSTING BROADCAST DWELL INTERVAL BASED ON TRENDLINE PREDICTION OF FUTURE THROUGHPUT

    公开(公告)号:US20200374208A1

    公开(公告)日:2020-11-26

    申请号:US16419124

    申请日:2019-05-22

    Abstract: In one embodiment, a method comprises: determining, by a network device in a wireless data network, a past throughput of broadcast data packets transmitted at broadcast transmission intervals of a prescribed broadcast schedule over a selected measurement interval, the broadcast transmission intervals each adjacent to unicast transmission intervals allocated in the wireless data network, each of the broadcast transmission intervals in the prescribed broadcast schedule initially set at a prescribed duration; predicting, by the network device, a predicted throughput of a future broadcast transmission interval of the prescribed broadcast schedule, for transmission of at least a future broadcast data packet, based on executing a trendline prediction of the predicted throughput using the past throughput over the selected measurement interval; and adjusting the corresponding prescribed duration of the future broadcast transmission interval, relative to the corresponding adjacent unicast transmission interval following the future broadcast transmission interval, based on the predicted throughput.

    DYNAMIC ADJUSTMENT OF CCA THRESHOLD BASED ON DETERMINED VARIANCE OF CHANNEL TRANSMIT ATTEMPT FAILURE RATE RELATIVE TO EXPECTED VARIANCE ACROSS AVAILABLE TRANSMISSION CHANNELS

    公开(公告)号:US20200280391A1

    公开(公告)日:2020-09-03

    申请号:US16289859

    申请日:2019-03-01

    Abstract: In one embodiment, a method comprises determining, by a network device in a wireless data network, that a prescribed Clear Channel Assessment (CCA) threshold is unsuitable for use on an identified wireless network channel among available wireless network channels, based on a determined variance of a corresponding channel transmit attempt failure rate for the identified wireless network channel, relative to an expected variance in channel transmit attempt failure rates that is determined across the respective available wireless network channels; and selectively adjusting the corresponding CCA threshold for the identified wireless network channel, until a second determined variance of the corresponding channel transmit attempt failure rate, at the identified wireless network channel, falls below a prescribed channel failure rate variance factor relative to the expected variance.

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