PATENT CLAIM ANALYSIS

Application Number: 15753961
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["370", "329000"]

Abstract:
Method, apparatus, computer program product and computer readable medium are disclosed for medium access control in a wireless sensor network, wherein the wireless sensor network comprises a source node configured to send sensor information, a relay node configured to relay the sensor information and a sink node configured to receive the sensor information; said method comprising. The method comprises: scheduling wireless resource for the source node and the relay node so that the relay node can receive and relay the sensor information sent by the source node; and combining a plurality of transmissions containing the sensor information from the source node and/or the relay node in decoding the sensor information.

Claim (Index 69):
A apparatus comprising:\n at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to at least:\n receive scheduling information from a sink node, wherein the scheduling information includes information about wireless resource scheduled to a source node and/or a relay node; and \n send the sensor information to the sink node.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 88.0
- Lexical Diversity: 2.24528
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13975559', '14997132', '13298954', '14459165', '15591181']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4899827730538671
- 35 USC 102 Novelty (BERT): 0.4981120191159053
- Combined Prediction Score: 0.490795697660071
- Mean Citation Score: 192.016898
- Max Citation Score: 201.54292
- Similarity Product: 132.54306635427474

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