Multisensor Distributed Dynamic Programming Method for Collaborative Warning and Tracking
Algorithm 1
Game between the communities of interest.
Step 1: according to the current sensor-target status, provides with and requests the relevant sensors in a coordinated combat operation. Under the condition of maximizing the game’s payoff with regard to the target i, chooses from . At this point, has the least payoff in the game.
Step 2: evaluates provided by . If is not satisfied (the requirement for tracking accuracy is not met), go to Step 3; otherwise, go to Step 5.
Step 3: if is an empty set, go to Step 4; otherwise, provides with a plan to maximize the game payoff for , and we proceed to Step 5.
