Mobile delay-tolerant networks with energy-harvesting and wireless energy transfer cooperation

摘要

We consider a mobile delay-tolerant networks (MDTNs) with energy-harvesting capabilities. Inorder to determine energy management policies that will improve network capacity and packetdelivery ratio and maximize the system throughput, we consider a source node that seeks tosend packets to a destination node. The optimal policy for the source varies according to itssystem state, which allows it to guarantee a maximum delivery probability rate. Our problem ismodeled by decision theory; as a start, we are interested in the MDP to model and solve suchsequential decision problems. Our goal is to optimize for each node, a utility depending on arandom environment and decisions made by the node. As the MDP formalism reaches its limitswhen it is necessary to take into account the interactions between different several nodes, wewill start using the graph-based MDP where the state and action spaces are factorizable byvariables. The transition functions and rewards are then decomposed into local functions and thedependency relations between the nodes are represented by a graph. To calculate the optimalpolicy, we propose Mean Field Approximation (MFA) and Approximate linear-programming(ALP) algorithms for solving GMDP problem.