PATENT CLAIM ANALYSIS

Application Number: 15866761
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["370", "329000"]

Abstract:
This disclosure relates generally to distributed robotic networks, and more particularly to communication link-prediction in the distributed robotic networks. In one embodiment, robots in a robotic network, which are mobile, can establish communication with a cloud network through a fog node, wherein the fog node is a static node. A robot can directly communicate with a fog node (R2F) if the fog node is in the communication range of the robot. If there is no fog node in the communication range of the robot, then the robot can establish communication with another robot (R2R) and indirectly communicate with the fog node through the connected robot. Communication link prediction is used to identify one or more communication links that can be used by a robot for establishing communication with the cloud network. A link that satisfies requirements in terms of link quality and any other parameter is used for communication purpose.

Claim (Index 3):
The method as claimed in  claim 1 , wherein establishing a data transmission comprises of:\n establishing connection with the fog node of the distributed robotic network, by the robot, if the determined link quality with the fog node meets a threshold value of link quality; and establishing connection with the fog node through another robot of the distributed robotic network, by the robot, if the determined link quality with the fog node does not meet the threshold value of link quality, wherein the determined link quality with the another robot meets the threshold value of link quality.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 86.0
- Lexical Diversity: 2.24324
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12876045', '15730000', '12771283', '11396272', '10615182']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5349601794076985
- 35 USC 102 Novelty (BERT): 0.4817491869852441
- Combined Prediction Score: 0.529639080165453
- Mean Citation Score: 142.750182
- Max Citation Score: 159.41081
- Similarity Product: 107.2195827088964

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