  In this paper, we consider a multi-hop cooperative network founded on two
energy-harvesting (EH) decode-and-forward (DF) relays which are provided with
harvest-store-use (HSU) architecture to harvest energy from the ambience using
the energy buffers. For the sake of boosting the data delivery in this network,
maximal ratio combining (MRC) at destination to combine the signals received
from source and relays, as well as an opportunistic routing (OR) algorithm
which considers channel status information, location and energy buffer status
of relays is proposed. With applying discrete-time continuous-state space
Markov chain model (DCSMC), the algorithm-based theoretical expression for
limiting distribution of stored energy in infinite-size buffer is derived.
Further more, with using both the limiting distributions of energy buffers and
the probability of transmitter candidates set, the algorithm-based theoretical
expressions for outage probability, throughput and timesolt cost for each data
of the network are obtained. The simulation results are presented to validate
the derived algorithm-based theoretical expressions.
