  In this paper, a Priority-based Dynamic REsource Allocation with
decentralized Multi-task assignment (P-DREAM) approach is presented to protect
a territory from highly manoeuvring intruders. In the first part, static
optimization problems are formulated to compute the following parameters of the
perimeter defense problem; the number of reserve stations, their locations, the
priority region, the monitoring region, and the minimum number of defenders
required for the monitoring purpose. The concept of a prioritized intruder is
proposed here to identify and handle those critical intruders (computed based
on the velocity ratio and location) to be tackled on a priority basis. The
computed priority region helps to assign reserve defenders sufficiently earlier
such that they can neutralize the prioritized intruders. The monitoring region
defines the minimum region to be monitored and is sufficient enough to handle
the intruders. In the second part, the earlier developed DREAM approach is
modified to incorporate the priority of an intruder. The proposed P-DREAM
approach assigns the defenders to the prioritized intruders as the first task.
A convex territory protection problem is simulated to illustrate the P-DREAM
approach. It involves the computation of static parameters and solving the
prioritized task assignments with dynamic resource allocation. Monte-Carlo
results were conducted to verify the performance of P-DREAM, and the results
clearly show that the P-DREAM approach can protect the territory with
consistent performance against highly manoeuvring intruders.
