The application discloses a data storage method and equipment for
mass transaction information, through sensor network collection node data, based on communication
record and topological calculation node distance and path jump number, combined with data queuing time and
packet loss rate calculation node load, mark super threshold node and locate abnormal link, generate abnormal index, further calculate adjacent density and topological depth, get connection strength and path
connectivity distribution, according to this, identify
bottleneck node and build sub node set, through calculation path congestion degree update
bottleneck set, generate congestion influence domain, when there is
high load node in the domain, trigger congestion
signal, extract domain
path length and redundancy, combined with node history calculation preliminary congestion index and generate routing optimization vector, finally, through
buffer overflow rate calculation risk coefficient, combined with flow
peak value correlation analysis, output detailed
feature data containing congestion degree, influence range and optimization suggestion, support network adjustment
processing.