Packet Forwarding Strategies in Multiagent Systems: An Evolutionary Game Approach

Table 1

Notations (1).

	The number of agents in the MASs.
and	The idle and busy states of an agent, respectively.
and	The probabilities of packet forwarding of an agent at the idle state and the busy state, respectively.
	The probability of packet forwarding at idle state of an agent. The probability of packet no forwarding at the idle state of an agent is .
	The probability of packet no forwarding at the busy (backlogged) state of an agent. The probability of packet forwarding at busy state of an agent is
	The state transition matrix of the Markov chain of an agent.