
    Given the current number of delivery zones in a grid-based city network, determine the smallest perfect square number of zones greater than the current count that would allow for optimal fleet distribution points. This optimization will ensure efficient coverage when expanding delivery operations while maintaining balanced route distances during peak traffic hours.
    

    
import math

def next_Perfect_Square(N):
    """
    Given the current number of delivery zones in a grid-based city network, determine the smallest perfect square number of zones greater than the current count that would allow for optimal fleet distribution points. This optimization will ensure efficient coverage when expanding delivery operations while maintaining balanced route distances during peak traffic hours.
    

    """
import math

def next_Perfect_Square(N):
    """
    Given the current number of delivery zones in a grid-based city network, determine the smallest perfect square number of zones greater than the current count that would allow for optimal fleet distribution points. This optimization will ensure efficient coverage when expanding delivery operations while maintaining balanced route distances during peak traffic hours.
    

    """
    nextN = math.floor(math.sqrt(N)) + 1
    return nextN * nextN