The acceptability of blockchain technology has experienced significant growth due to its innovative nature, encompassing several key elements such as distributed data storage, peer-to-peer networking, integrity verification, consensus algorithms, cryptography, and smart contracts. The consensus algorithm plays a pivotal role in determining the effectiveness, robustness, and reliability of blockchain systems. The ongoing expansion of the digital economy presents a persistent challenge in identifying or constructing an optimal blockchain cross-chain consensus algorithm that effectively addresses specific business requirements especially for various applications of consumer electronics. This research study introduces a novel approach to enhance blockchain cross-chain consensus algorithms, prioritizing the augmentation of throughput, leader’s capacity, and enhancement of fault tolerance. The solution under consideration employs committees established by the Louvain Modularity Optimization (LMO) algorithm for local blockchain, along with reputation-based leader selection, to safeguard the integrity of the blockchain network globally. The proposed approach distributes the transactions among the committees and demonstrates an average throughput that is about 1.6 times greater than that of RapidChain following 100 iterations and 1.14 times more than that of the sharding technique. The results indicate that the utilization of reputation-based leader selection and immediate leader replacement, which is based on reputation score, effectively enhances the resilience of the system against attacks, while simultaneously boosting the overall throughput.