LWC2S2C : An Efficient Light‐Weight Consensus Model for Context‐Sensitive Sidechains in Blockchain Networks

Ricky Mohanty, Subhendu Kumar Pani, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Mehdi Hosseinzadeh, Mohammad Shokouhifar · Concurrency and Computation Practice and Experience · 2025

ABSTRACT This paper introduces an innovative Light‐Weight Consensus model for Context‐Sensitive Side Chains (abbreviated as LWC2S2C) to enhance the efficiency of consensus mechanisms within blockchain networks. The proposed model adopts a multifaceted approach, taking into account many intricate parameters including the number of blocks within the sidechain, the architecture of each block, the performance metrics of individual miners, and the complicated interplay between source nodes and miner nodes. These various metrics are combined to give each miner a unique rank, which affects their chances of being chosen for the important block validation process. The consequential discoveries derived from this comprehensive analysis reveal that the LWC2S2C model eclipses its contemporary counterparts in consensus mechanisms. Through the meticulous examination of performance benchmarks, including mining delay, energy consumption, and throughput, within diverse application scenarios, namely Electronic Health Records (EHR), Internet of Medical Things (IoMT), and Enterprise Resource Planning (ERP), the LWC2S2C consistently manifests an enviable supremacy. Remarkably, it outpaces the Practical Byzantine Fault Tolerance (PBFT) by an impressive 10.5%, surpasses the Proof of Practicality and Trust (PoPT) by a striking 14.6%, and leaves the Improved Proof of Trust (IPoT) behind by an astonishing 18.4% in the context of mining delay. Furthermore, in the case of energy efficiency, the LWC2S2C model consumes 6.2% less energy compared to PBFT, 10.5% less energy compared to PoPT, and a substantial 16.8% less energy when contrasted with IPoT. These findings emphatically underscore the scalability, efficiency, and low energy footprint that the LWC2S2C model brings to the fore. The obtained results demonstrate that LWC2S2C reaches highly awarding inference tailored to the exigencies of sidechain‐based applications.

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