Ensuring all computations occur exclusively in the cloud.

Completely replacing edge resources with centralized cloud servers.

Balancing conflicting objectives such as latency, energy consumption, and cost.

Limiting the scalability of IoT applications.

Eliminating the need for edge resources

Balancing multiple conflicting objectives, such as latency and energy consumption.

 Using only heuristic-based algorithms for all optimization problems.

Ensuring all computations occur exclusively in the cloud

Manual trial-and-error methods

Single-objective exact algorithms

Distributed iterative improvement algorithms

Centralized linear programming

Relying solely on centralized authentication mechanisms in the cloud.

 Establishing lightweight, secure communication channels suitable for resource-constrained edge devices.

Avoiding encryption entirely to reduce computational overhead.

Using unencrypted data transmission to improve performance.

It ensures that all vehicle data is stored exclusively in the cloud.

It reduces latency by processing data closer to the vehicles at the network edge.

It eliminates the need for real-time communication between vehicles.

 It increases the dependency on centralized cloud servers for decision-making.