Depth and distance-based single-path routing method

    公开(公告)号:US11265797B2

    公开(公告)日:2022-03-01

    申请号:US17011978

    申请日:2020-09-03

    Abstract: A depth and distance-based single-path routing method, in which location information of nodes in network is gathered after initialization is completed, and a location table of whole-network nodes maintained by the sink node is generated. The update mechanism of the uplink Location frame is switched to a unicast triggering update mechanism to execute a depth and energy-based uplink routing algorithm. For a downlink control packet arriving at a specified ID, location information of a node is obtained through the location table to execute a distance and energy-based downlink routing policy. The distance and energy-based downlink routing policy for a downlink control packet arriving at a specified location and a downlink control packet arriving at the specified ID is executed, and a routing recovery algorithm is executed when an “open area” occurs.

    Data encoding and decoding method for underwater acoustic networks (UANs) based on improved online fountain code

    公开(公告)号:US11722245B2

    公开(公告)日:2023-08-08

    申请号:US17971408

    申请日:2022-10-21

    CPC classification number: H04L1/005 H04B13/02 H04L1/0061

    Abstract: A data encoding and decoding method for underwater acoustic networks (UANs) based on an improved online fountain code, including: in a build-up phase, subjecting all original packets to sequential encoding according to their serial numbers to generate and send encoded packets with degree 2; merging k original packets to k/8 connected components with a size of 8; performing random encoding until a largest connected component is successfully decoded; in a completion phase, sending, by a receiver, a feedback packet according to a current decoding graph; according to a feedback packet containing decoding states of all the original packets, sending, by a sender, encoded packets with degree m; and randomly selecting original packets for recursive encoding to generate and send encoded packets with degree 1 or 2; and setting, by the receiver, a threshold to restrict the number of feedback packets.

    Routing protocol method for underwater acoustic sensor networks based on layering and source location privacy

    公开(公告)号:US12119999B2

    公开(公告)日:2024-10-15

    申请号:US18516741

    申请日:2023-11-21

    CPC classification number: H04L41/12 H04B13/00 H04L67/12

    Abstract: A routing protocol method for Underwater Acoustic Sensor Networks (UASNs) based on layering and source location privacy (SLP) is provided. (1) A proxy area is selected randomly by a source node. (2) A packet is delivered from the source node to the proxy area through a forwarding probability-based multipath routing algorithm, and a layer-based priority is given to candidate neighbor nodes to alleviate a long detour problem. (3) A proxy node in the proxy area is selected randomly. (4) The packet is delivered from the proxy node to a sink node through the forwarding probability-based multipath routing algorithm. (5) Steps (1) to (4) are repeated until the source node is changed or an adversary finds a position of the source node.

    Node positioning method for underwater wireless sensor network (UWSN) based on zeroing neural dynamics (ZND)

    公开(公告)号:US11658752B1

    公开(公告)日:2023-05-23

    申请号:US17941254

    申请日:2022-09-09

    CPC classification number: H04B13/02 H04B7/00 H04W84/18

    Abstract: This application relates to underwater wireless sensor networks, and more particularly to a node positioning method for an underwater wireless sensor network (UWSN) based on zeroing neural dynamics (ZND), including: (S1) defining a time-varying problem of node positioning of the UWSN based on an angle of arrival (AOA) algorithm and a time difference of arrival (TDOA) algorithm; (S2) performing modeling for the time-varying problem to acquire a mathematical model of a linear dynamic matrix equation; (S3) establishing a modified zeroing neural dynamics (MZND) model with a nonlinear activation function; and (S4) solving the time-varying problem by utilizing the MZND model to complete the node positioning of the UWSN.

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