PATENT CLAIM ANALYSIS

Application Number: 16199429
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["370", "392000"]

Abstract:
An apparatus for managing deterministic and synchronous multi-channel extension (DSME) network fluctuations in an industrial wireless sensor network includes: a network congestion rate measurer configured to measure a network congestion rate on the basis of a number of times an association request message is received and a number of times carrier sensing is performed, a DSME-guaranteed time slot (GTS) allocation information collector configured to continuously collect DSME-GTS allocation information using coordinators, a DSME-GTS maintenance determiner configured to determine whether to maintain or collect DSME-GTSs on the basis of collected network information, a slot reallocation determiner configured to determine whether data is received without collision from two nodes to which a slot is redundantly allocated and transmit a DSME-GTS expiration request to a sensor node for reallocation of empty slots.

Claim (Index 6):
The apparatus of  claim 4 , wherein, for scheduling to which the dynamic superframe is applied, when superframes of the PAN coordinator and the coordinators are determined in advance, whether a schedule is to be changed or not is determined by the number of slots to be reduced during allocation of slots, a currently allocated schedule, and a queue length of each of the coordinators, and\n when BO, SO, and MO are reduced or increased, a total superframe duration increases or decreases and thus a data slot size changes.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 98.0
- Lexical Diversity: 1.74684
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14383019', '12345211', '11845864', '14240120', '14171091']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.583576725086188
- 35 USC 102 Novelty (BERT): 0.5502702108146122
- Combined Prediction Score: 0.5802460736590304
- Mean Citation Score: 346.433172
- Max Citation Score: 426.677
- Similarity Product: 263.20431133675584

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test