2021/09/15 by Christopher G. Daniel, Daniel, Christopher, Ahmed Arafa +1
Computer Science · Engineering · #Age of Information Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #IoT Networks and Protocols #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2109.07459
openalex publication_date 2021/09/15 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
A status updating system is considered in which multiple data sources\ngenerate packets to be delivered to a destination through a shared energy\nharvesting sensor. Only one source's data, when available, can be transmitted\nby the sensor at a time, subject to energy availability. Transmissions are\nprune to erasures, and each successful transmission constitutes a status update\nfor its corresponding source at the destination. The goal is to schedule source\ntransmissions such that the collective long-term average age-of-information\n(AoI) is minimized. AoI is defined as the time elapsed since the latest\nsuccessfully-received data has been generated at its source. To solve this\nproblem, the case with a single source is first considered, with a focus on\nthreshold waiting policies, in which the sensor attempts transmission only if\nthe time until both energy and data are available grows above a certain\nthreshold. The distribution of the AoI is fully characterized under such a\npolicy. This is then used to analyze the performance of the multiple sources\ncase under maximum-age-first scheduling, in which the sensor's resources are\ndedicated to the source with the maximum AoI at any given time. The achievable\ncollective long-term average AoI is derived in closed-form. Multiple numerical\nevaluations are demonstrated to show how the optimal threshold value behaves as\na function of the system parameters, and showcase the benefits of a\nthreshold-based waiting policy with intermittent energy and data arrivals.\n