PATENT CLAIM ANALYSIS

Application Number: 15768312
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["370", "329000"]

Abstract:
The method of the invention envisages determining, for each packet that is to be transmitted/retransmitted, through an LLC communication protocol, which is the top sublayer of the datalink layer of the ISO-OSI model, (LLC logic) autonomously, node by node, the specific communication apparatus to be used from the ones available on the single node, to which subset of the nodes said packet is to be transmitted (routing logic), i.e., the number and the set of neighbouring nodes to which it is to be transmitted, the specific communication apparatus to be used from the multiple ones that may be available, and the maximum number of retransmissions to be made, by using a decentralized self-learning algorithm that enables each node to learn and select dynamically the best operating mode, according to the number of transmissions already made.

Claim (Index 9):
The method as per  claim 1 , characterized in that:\n each node calculates and stores the number of the packets correctly received from the neighbouring nodes, said calculation being made on all the packets, irrespective of whether the node is an addressee or not of the packets; and once the node j has received correctly a packet sent by the node i, it determines, from the serial number of the packet, the number of packets n i  sent by the node and uses as estimate of the quality of the link the ratio between the packets received and the packets sent, calculated with respect to a sliding time window of appropriate dimensions, in order to have estimates that take into account the marked dynamicity of the underwater channel.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.06757
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15768275', '13876183', '13876498', '12644796', '11895608']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5773519152787343
- 35 USC 102 Novelty (BERT): 0.4992643637720947
- Combined Prediction Score: 0.5695431601280704
- Mean Citation Score: 199.142552
- Max Citation Score: 234.0583
- Similarity Product: 156.1430431489587

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