PATENT CLAIM ANALYSIS

Application Number: 16014824
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["370", "252000"]

Abstract:
A method for evaluating performance of a sensor network. The method includes selecting, a sensor distribution pattern for a geographical region and determining a location for a base station. A plurality of sensor clusters are generated, each sensor cluster being formed by one of a first and second grouping mechanism. Further, the method allocates, for each sensor a time-slot within a time-frame to transmit a data packet from the sensor to the base station, and evaluates the performance of the first grouping mechanism and the second grouping mechanism for the selected sensor distribution pattern and base station location, by computing at least a ratio of delivered data packets to the base station to a total energy consumption, and a first delay and a second delay incurred by each data packet.

Claim (Index 5):
The method according to  claim 1 , wherein the generating step further comprises:\n computing by the circuitry, for the second grouping mechanism, an average sensor energy corresponding to the sensors in the geographical region; generating a non-cluster sensor group including sensors that have energy lower than the computed average sensor energy; and forming the sensor clusters based on a simulated annealing algorithm.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 94.0
- Lexical Diversity: 2.31148
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15059370', '16014893', '15716100', '15741533', '15892143']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5456282274994582
- 35 USC 102 Novelty (BERT): 0.5954737764858714
- Combined Prediction Score: 0.5506127823980995
- Mean Citation Score: 323.423758
- Max Citation Score: 494.0374
- Similarity Product: 468.8494731874824

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