Proof-of-Spiking-Neurons(PoSN): Neuromorphic Consensus for Next-Generation Blockchains
This addresses energy and scalability problems for blockchain users, offering a novel approach but appears incremental as it builds on neuromorphic computing and existing consensus ideas.
The paper tackles blockchain scalability, latency, and energy inefficiency by proposing Proof-of-Spiking-Neurons (PoSN), a neuromorphic consensus protocol that achieves significant gains in energy efficiency, throughput, and convergence compared to existing methods like PoB and PoR.
Blockchain systems face persistent challenges of scalability, latency, and energy inefficiency. Existing consensus protocols such as Proof-of-Work (PoW) and Proof-of-Stake (PoS) either consume excessive resources or risk centralization. This paper proposes \textit{Proof-of-Spiking-Neurons (PoSN)}, a neuromorphic consensus protocol inspired by spiking neural networks. PoSN encodes transactions as spike trains, elects leaders through competitive firing dynamics, and finalizes blocks via neural synchronization, enabling parallel and event-driven consensus with minimal energy overhead. A hybrid system architecture is implemented on neuromorphic platforms, supported by simulation frameworks such as Nengo and PyNN. Experimental results show significant gains in energy efficiency, throughput, and convergence compared to PoB and PoR. PoSN establishes a foundation for sustainable, adaptive blockchains suitable for IoT, edge, and large-scale distributed systems.