US 11,943,106 B2
Supervised traffic management in SigMesh networks
Jianlong Cao, Shanghai (CN); Ravi Kiran Bamidi, Bangalore (IN); Yusheng Yang, Shanghai (CN); and Huafen Lv, Shanghai (CN)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Appl. No. 17/290,671
Filed by QUALCOMM Incorporated, San Diego, CA (US)
PCT Filed Nov. 9, 2018, PCT No. PCT/CN2018/114744
§ 371(c)(1), (2) Date Apr. 30, 2021,
PCT Pub. No. WO2020/093350, PCT Pub. Date May 14, 2020.
Prior Publication US 2022/0021579 A1, Jan. 20, 2022
Int. Cl. H04L 41/0816 (2022.01); H04L 41/083 (2022.01); H04L 41/12 (2022.01); H04L 43/062 (2022.01); H04L 43/0817 (2022.01); H04L 43/10 (2022.01); H04L 47/122 (2022.01)
CPC H04L 41/0816 (2013.01) [H04L 41/083 (2013.01); H04L 41/12 (2013.01); H04L 43/062 (2013.01); H04L 43/0817 (2013.01); H04L 43/10 (2013.01); H04L 47/122 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A method of managing a mesh network, the method comprising:
monitoring, at a supervisor of the mesh network, one or more network parameters of the mesh network;
determining, whether the one or more network parameters are to be adjusted for improving transmission efficiency or reducing traffic congestion on the mesh network;
providing feedback to one or more nodes with the adjusted network parameters;
determining, by the supervisor, a neighbor node count based on a heartbeat model; and
determining initial values of the one or more network parameters based on the neighbor node count.