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A PREDICTION.
I am sure that most members probably all will understand the significance of the problem that these NASA funded researchers are suggesting can be solved by using SNN based Ai to resolve routing problems in communication networks.
We know that Brainchip has been approached by at least one communication company.
So my prediction is that the use of AKIDA based technology in or as the device for routing in communication networks, be they wireless, 4G, 5G, 6G or private networks, will become ubiquitous and generate billions in revenue.
Gandhimathi Velusamy
Ricardo Lent
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References (48)
Figures (2)
My opinion only DYOR
FF
AKIDA BALLISTA
I am sure that most members probably all will understand the significance of the problem that these NASA funded researchers are suggesting can be solved by using SNN based Ai to resolve routing problems in communication networks.
We know that Brainchip has been approached by at least one communication company.
So my prediction is that the use of AKIDA based technology in or as the device for routing in communication networks, be they wireless, 4G, 5G, 6G or private networks, will become ubiquitous and generate billions in revenue.
Delay-Packet-Loss-Optimized Distributed Routing Using Spiking Neural Network in Delay-Tolerant Networking
- December 2022
- Sensors 23(1):310
- License
- CC BY 4.0
Gandhimathi Velusamy
Ricardo Lent
Download full-text PDF
References (48)
Figures (2)
Abstract and Figures
Satellite communication is inevitable due to the Internet of Everything and the exponential increase in the usage of smart devices. Satellites have been used in many applications to make human life safe, secure, sophisticated, and more productive. The applications that benefit from satellite communication are Earth observation (EO), military missions, disaster management, and 5G/6G integration, to name a few. These applications rely on the timely and accurate delivery of space data to ground stations. However, the channels between satellites and ground stations suffer attenuation caused by uncertain weather conditions and long delays due to line-of-sight constraints, congestion, and physical distance. Though inter-satellite links (ISLs) and inter-orbital links (IOLs) create multiple paths between satellite nodes, both ISLs and IOLs have the same issues. Some essential applications, such as EO, depend on time-sensitive and error-free data delivery, which needs better throughput connections. It is challenging to route space data to ground stations with better QoS by leveraging the ISLs and IOLs. Routing approaches that use the shortest path to optimize latency may cause packet losses and reduced throughput based on the channel conditions, while routing methods that try to avoid packet losses may end up delivering data with long delays. Existing routing algorithms that use multi-optimization goals tend to use priority-based optimization to optimize either of the metrics. However, critical satellite missions that depend on high-throughput and low-latency data delivery need routing approaches that optimize both metrics concurrently. We used a modified version of Kleinrock’s power metric to reduce delay and packet losses and verified it with experimental evaluations. We used a cognitive space routing approach, which uses a reinforcement-learning-based spiking neural network to implement routing strategies in NASA’s High Rate Delay Tolerant Networking (HDTN) project”My opinion only DYOR
FF
AKIDA BALLISTA
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