Economics based resource allocation mechanism for Personal Network Federation

The resource allocation problem which aims to solve resources sharing and coordination among heterogeneous devices has become a key issue in Personal Network Federation (PNF). In this paper, Economics based Personal Network Federation (EPNF) market is introduced to meet this case by modelling each resource provider and requestor as Resource Seller Agent (RSA) and Resource Buyer Agent (RBA). Later, we design an EPNF model based on multi-object optimization theory. The Pareto based Solution Set (PSS) is then defined with its properties analyzed which can transfer the EPNF model into a resource allocation competition scenario between multi-agents. Afterwards, Interference Hormone (IH) is imported into Ant Colony Optimization (ACO) Algorithm for resource allocation. At last, the result shows that EPNF mechanism offers great help in increasing the utility function for each requestor and can avoid allocation deadlock and allocation conflicts effectively.