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The number of vehicle used in the world are increasing day by day resulting in the obvious problem of parking of these vehicle’s in residential and vocational areas. We perceive the problem of vehicles parking in vocational establishments / malls. Today majority of parking systems are manual parking systems where in, on the spot, parking of the vehicle is done and a parking slip is generated and handed over to customer. This is cumbersome technique wherein various parking attendants in the parking areas manually keeps on informing the Parking inspector on how many free parking slots available so that only that many number of parking slips/tickets are generated as the number of free parking slots. We address the problem of parking in Delay Tolerant Network (DTN) by proposing metaheuristic driven approach of Ant Colony optimization (ACO) technique with anycast semantics models . Here we propose the parking architecture to solve the problem of parking especially in commercial areas with their design diagrams . In this architecture we apply the delivery model to deliver the packet correctly to the intended receiver. Using this we can book various parking’s through remote areas so that the customer can get the information about availability of various parking’s inside an area and the parking fare for each category of the automobile. Using this architecture the customer can get the prior knowledge about various vacant parking slots inside a parking area and he can book the corresponding parking from his location.

As-Puma : Anycast Semantics In Parking Using Metaheuristic Approach