PATENT CLAIM ANALYSIS

Application Number: 15741533
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["370", "255000"]

Abstract:
Methods, systems, and apparatuses associated with the service layer may provide clustering management capabilities for sensor nodes in M2M/IoT SL platforms, via conventional clustering algorithm reselection and performance optimization, which may be based on service layer analytics. Clustering functionality may be adapted not only within the individual network model and optimization goals employed by each conventional clustering algorithm, but the conventional clustering algorithms themselves may be changed or reconfigured using service layer functionality. These re-configurations may be based on analytics indicating that performance of a sensor node is sub-optimal and may occur within a significantly larger time scale when compared to dynamic routing decisions on a per-message basis.

Claim (Index 19):
A method for managing two or more device clusters, further comprising\n evaluating performance of clustering algorithms within the two or more clusters of devices to meet an optimization objective; based on evaluating the performance, determining that the performance of a first clustering algorithm of the clustering algorithms has not been met; and in response to determining that the performance of the first clustering algorithm of the clustering algorithms has not been met, providing instructions to reconfigure at least one cluster of devices of the two or more device clusters.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 86.0
- Lexical Diversity: 1.52632
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15754827', '11412825', '15205715', '15558648', '15059370']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5245999486542581
- 35 USC 102 Novelty (BERT): 0.4868042355590907
- Combined Prediction Score: 0.5208203773447414
- Mean Citation Score: 175.92278000000005
- Max Citation Score: 188.13089
- Similarity Product: 125.6690764607966

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test