Limiting the scalability of IoT applications.

Completely replacing edge resources with centralized cloud servers.

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

Ensuring all computations occur exclusively in the cloud.

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

 Using only heuristic-based algorithms for all optimization problems.

Eliminating the need for edge resources

Ensuring all computations occur exclusively in the cloud

Centralized linear programming

Distributed iterative improvement algorithms

Manual trial-and-error methods

Single-objective exact algorithms

 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.

Relying solely on centralized authentication mechanisms in the cloud.

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.