Node incentive method based on buying-selling model and two-layer optimization

Abstract

The invention discloses a node incentive method based on a buying-selling model and a two-level optimization; the method firstly sets a multi-network multi-terminal communication scenario under a wireless ubiquitous environment and congests a node s with extremely high business demand rate in a network cell A; an idle network cell set tau nearby the node s is equal to {k1, k2 to km}, and a corresponding access point set D is equal to {d1, d2 to dm}, wherein the m is the number of idle network cells; ki is an element of tau and a corresponding relay node set Ri is equal to {ri1, ri2 to rin}. The method, by combining the characteristics of an ubiquitous network and an ubiquitous terminal of the wireless ubiquitous environment and according to the buying-selling model between a business requirement node and a relay node constructed in a wireless communication environment, realizes the purpose of cooperative forwarding of the incentive relay nodes; and on the basis of the incentive relay nodes, through a two-level optimization mode, an objective that the business requirement node meets the business rate requirement with a lowest incentive price is achieved.

Description

technical field [0001] The invention relates to a node incentive method based on a buying and selling model and two-layer optimization in a wireless ubiquitous environment, and belongs to the technical field of multimedia communication. Background technique [0002] With the continuous development of wireless communication technology, various cellular communication networks, wireless local area network (WLAN), wireless personal area network (WPAN) and a variety of wireless communication networks including satellite communication networks, and more new wireless networks are still emerging. These networks use different network technologies to complement each other and co-exist, forming a ubiquitous wireless ubiquitous environment where multiple networks and multiple services converge. However, due to the unbalanced characteristics of network traffic and load in the wireless ubiquitous environment, user nodes with high service demand rates in congested network cells cannot obt...

AI Technical Summary

Problems solved by technology

This selfish behavior will greatly reduce the routing performance of the network. However, if a large number of message forwarding tasks are attached to some nodes without some additional compensation, these nodes will withdraw from the network due to energy exhaustion.

The node incentive mechanism based on virtual currency can stimulate the cooperative forwarding behavior of nodes in the form of "payment-compensation". However, this mechanism often simply compensates the resources consumed by relay nodes in the form of virtual currency, and does not establish detailed and reasonable trading rules , In addition, the incentive focus of this mechanism is only on the relay node, without doing more research on saving the incentive cost of the business demand node

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