2017/10/24 by Animesh Yadav, Yadav, Animesh, Mathew Goonewardena +7 · 2 citations
Computer Science · Engineering · #Energy Efficient Wireless Sensor Networks #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #Wireless Networks and Protocols
paper · pdf · doi:10.48550/arxiv.1710.09034
openalex publication_date 2017/10/24 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
This paper analyzes the communication between two energy harvesting wireless\nsensor nodes. The nodes use automatic repeat request and forward error\ncorrection mechanism for the error control. The random nature of available\nenergy and arrivals of harvested energy may induce interruption to the signal\nsampling and decoding operations. We propose a selective sampling scheme where\nthe length of the transmitted packet to be sampled depends on the available\nenergy at the receiver. The receiver performs the decoding when complete\nsamples of the packet are available. The selective sampling information bits\nare piggybacked on the automatic repeat request messages for the transmitter\nuse. This way, the receiver node manages more efficiently its energy use.\nBesides, we present the partially observable Markov decision process\nformulation, which minimizes the long-term average pairwise error probability\nand optimizes the transmit power. Optimal and suboptimal power assignment\nstrategies are introduced for retransmissions, which are adapted to the\nselective sampling and channel state information. With finite battery size and\nfixed power assignment policy, an analytical expression for the average packet\ndrop probability is derived. Numerical simulations show the performance gain of\nthe proposed scheme with power assignment strategy over the conventional\nscheme.\n