PATENT CLAIM ANALYSIS

Application Number: 16397890
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["455", "500000"]

Abstract:
Novel tools and techniques are provided for implementing self-organizing mobile networks (“SOMNETs”) of drones and platforms. In various embodiments, a computing system might receive first data from each of a plurality of vehicles; might receive second data from each of a plurality of platforms; might analyze the first data to determine a status of each vehicle; and might analyze the second data to determine a status of each platform. Based at least in part on the analyzed first and second data, the computing system might generate at least one of first control instructions to at least one first vehicle of the plurality of vehicles or second control instructions to at least one first platform of the plurality of platforms that respectively cause the at least one first vehicle to perform one or more first actions or cause the at least one first platform to perform one or more second actions.

Claim (Index 20):
A system, comprising:\n a computing system, comprising:\n at least one first processor; and \n a first non-transitory computer readable medium communicatively coupled to the at least one first processor, the first non-transitory computer readable medium having stored thereon computer software comprising a first set of instructions that, when executed by the at least one first processor, causes the computing system to:\n receive one or more requests for one of a plurality of vehicles to perform one or more tasks; \n receive at least one first data from at least one first vehicle of the plurality of vehicles, the at least one first data comprising data regarding one or more second vehicles of the plurality of vehicles of a self-organizing mobile network (\u201cSOMNET\u201d) of wherein the at least one first vehicle receives beacon data from each of at least one second vehicle of the one or more second vehicles, wherein the data regarding the one or more second vehicles comprises the beacon data from each of the at least one second vehicle, wherein the beacon data from each of the at least one second vehicle comprises at least one of signal strength of the beacon data, communication transmit power level, or configuration parameters; \n analyze the at least one first data to determine a status of at least one second vehicle of the one or more second vehicles; and \n in response to receiving the one or more requests and based at least in part on a determination that the at least one second vehicle is capable of performing at least one task of the one or more tasks, generate one or more first control instructions and send the one or more first control instructions to the at least one second vehicle, the one or more first control instructions causing each of the at least one second vehicle to perform one or more first actions the at least one second vehicle comprising: \n \n a propulsion system; at least one second processor; and a second non-transitory computer readable medium communicatively coupled to the at least one second processor, the second non-transitory computer readable medium having stored thereon computer software comprising a second set of instructions that, when executed by the at least one second processor, causes the at least one second vehicle to:\n receive one of the one or more first control instructions or the one or more second control instructions; and \n perform the one or more first actions, based at least in part on the received one of the one or more first control instructions.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 100.0
- Lexical Diversity: 2.6129
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15840165', '15840265', '15810523', '15389983', '15390023']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7127397929807384
- 35 USC 102 Novelty (BERT): 0.5546627946876596
- Combined Prediction Score: 0.6969320931514306
- Mean Citation Score: 255.369514
- Max Citation Score: 422.13693
- Similarity Product: 361.7597216612792

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

Dataset: test