Table 1.

Relevant work.

Author	Method	Advantages	Disadvantages
Long luo a et al.5	Bayesian game-enabled two-way auction mechanism	The method works with several types of actual energy transactions	Cross-LEAG energy trade between EVs was not considered for better energy trading
Ayesha sadiq et al.3	BC-based D-trading scheme	The EV trading trends were successfully hidden	Need to consider a rating-based reputation system to improve the system’s performance
Abid jamal et al.13	BC-based secure and efficient reputation management method	Efficiently stored the IPFS hash data instead of the actual data on BC	Unavailability of data and the highest communication cost
Muhammad umar javed et al.21	BC with energy trading algorithm	Addressed low and high-range anxiety produced by VENs	Took additional time at the charging entity
Haiqing liu et al.6	EV power trading mechanism	The transaction was speedy	Failure to coordinate safety and efficiency
Yuancheng li and baiji hu19	Adaptive Inertia Weight KH	Improved the speed, accuracy, and good scalability	Need more confirmation time
Prince waqas khan and yung-cheol byun14	BC-based peer-to-peer energy trade and charging payment system	Addressed trust and privacy concerns with electric car charging	Need to consider machine learning for improved analysis, price prediction, and optimal routes to nearby charging stations
Tehreem ashfaq et al.23	Secure energy trading method	Effectively decreased the charging costs and time in a VEN	Dependency of Timestamp, Re-entrancy vulnerability, Callstack depth vulnerability, and Dependency of Transaction ordering should have been tackled to improve the system’s performance