#WIRELESS MPS PLAYER FREE#

įor the credit approach and reputation approach, because the system needs a central control requiring an infrastructure, this method cannot be used in the distributed environment.

And to compute the reputation of the nodes in wireless networks, some techniques such as network coding and fuzzy recommendation were proposed. To solve the problem, a reputation computation model was proposed to discover and prevent selfish behaviors by combining familiarity values with subjective opinions. Due to the unreliability and lack of information of the wireless networks, the pure subjective logic-based model may lead to a high uncertainty value in some cases. Kane and Browne successfully transplanted and applied subjective logic to a wireless network environment. proposed a method based on subjective logic to discover the trust networks between specific parties. To deal with the issue, cooperative nodes sometimes are perceived as being selfish because of unreliable transmission. In reputation-based schemes, a node's behavior is measured by its neighbors using a watchdog mechanism, and nodes can be punished for noncooperation. Reputation-based schemes observe the behavior of their neighboring nodes through promiscuous overhearing and accordingly assign them a reputation rating which is used for identifying the selfish nodes.

In the credit approach, cooperation is induced by means of payments received every occasion when a node acts as a relay and forwards a packet, and such credit can later be used by these nodes to encourage others to cooperate. In terms of the previous work on this problem, there are main approaches based on the credit approach, the reputation approach, network coding approach, game theory, and so on. To deal with this problem, many mechanisms have been proposed to detect the selfish nodes and restrict their selfish behaviors in wireless networks. The simulation study presented in Michiardi and Molva showed that the performance of multihop wireless networks severely degrades in face of selfish node's misbehavior. Now the selfish behavior is an important issue and is being vigorously researched.

#WIRELESS MPS PLAYER FREE#

Users or nodes that want to maximize their own welfare and do not contribute to the network are defined as selfish nodes or free riders. This noncooperative behavior is named selfish behavior, and these routers are selfish nodes. These nodes refuse to forward packets by dropping other's packets and trying to use others to send their own. However, for the sake of saving battery life for their own communications, some nodes in wireless network do not cooperate to the basic network functioning, making the network lack trust between nodes.

In wireless networks such as ad hoc and mesh networks, the steady operation of the networks must rely on the cooperation for which packets should be forwarded sufficiently between nodes, namely, the routers in networks. It is concluded that MPS-BNS strategy is effective in fighting against selfishness in different levels and can achieve a preferable performance. The simulation analysis has shown that MPS-BNS strategy is able to evolve to the maximum expected level of average payoff with faster speed than the pure BNS strategy, especially in the packets forwarding beginning with a low cooperation level. In BNS strategy, each node follows the strategy of its neighbor with the maximum total payoff and then enters the next round of play. In MPS strategy, each node chooses a strategy that will get the maximum payoff according to its neighbor's strategy. After one round of play, each player chooses the MPS or BNS strategy for certain probabilities and updates the strategy accordingly.

In this strategy, every node plays a packet forwarding game with its neighbors and records the total payoff of the game. The proposed strategy is based on the Maximum Payoff Strategy (MPS) and the Best Neighbor Strategy (BNS). To achieve a valid effect of wireless mesh networks against selfish nodes and selfish behaviors in the packets forwarding, an approach named mixed MPS-BNS strategy is proposed in this paper.

Wireless mps player