Interference Awake Trade Allotment for Multipath Routing Using Reinforcement Learning Algorithm

Abstract: Multiple-path source routing protocols allow a data source node to distribute the total traffic among available paths .This paper proposes technique for the network nodes to estimate and characterize the impact of jamming and for a source node to incorporate these estimates into its traffic allocation. And we have shown that in multi-source networks, this centralized optimization problem can be solved using a distributed algorithm based on decomposition in network utility maximization. We formulate this traffic allocation as a lossy network flow optimization problem using portfolio selection theory from financial statistics which allow individual network nodes to locally characterize the jamming impact and aggregate this information for the source nodes. We demonstrate that the use of portfolio selection theory allows the data sources to balance the expected data throughput with the uncertainty in achievable traffic rates.

Keywords: Jamming, Traffic, Optimization, Multi-Source Network, Rate Adaptation.