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 11):
The method of  claim 10 , wherein 0\u2264SO\u2264BO\u226414, and SD=aBaseSuperframeDuration\u00d72 SO  symbol,\n wherein the number of superframes in one beacon interval is determined by the number of MOs and thus actually 0\u2264SO\u2264MO\u2264BO\u226414.

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): 0.5835507768860716
- 35 USC 102 Novelty (BERT): 0.5503177709274621
- Combined Prediction Score: 0.5802274762902107
- Mean Citation Score: 346.433172
- Max Citation Score: 426.677
- Similarity Product: 263.6858903825283

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