For the perpetual wireless sensor network (WSN), energy harvesting (EH) technology is emerging as a promising solution. However, the randomness and the instability of the harvested energy may lead to the occurrence of the temporal death, which is harmful to the functions of the WSN, and has negative impact on the quality of service of the network. With temporal death being taken into account, this paper proposes a novel and overall framework, namely, a multi-layer Markov fluid queue (MLMFQ) model, for modeling and analyzing the data transmissio...
