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On the Role of Age of Information in the Internet of Things
Virginia Tech, VA 24061 USA.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4416-7702
Virginia Tech, VA 24061 USA.
2019 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 57, no 12, p. 72-77Article in journal (Refereed) Published
Abstract [en]

In this article, we provide an accessible introduction to the emerging idea of Age of Information (AoI) that quantifies freshness of information and explore its possible role in the efficient design of freshness-aware Internet of Things (IoT). We start by summarizing the concept of AoI and its variants with emphasis on the differences between AoI and other well-known performance metrics in the literature, such as throughput and delay. Building on this, we explore freshness-aware IoT design for a network in which IoT devices sense potentially different physical processes and are supposed to frequently update the status of these processes at a destination node (e.g., a cellular base station). Inspired by recent interest, we also assume that these IoT devices are powered by wireless energy transfer by the destination node. For this setting, we investigate the optimal sampling policy that jointly optimizes wireless energy transfer and scheduling of update packet transmissions from IoT devices with the goal of minimizing long-term weighted sum-AoI. Using this, we characterize the achievable AoI region. We also compare this AoI-optimal policy with the one that maximizes average throughput (throughput-optimal policy), and demonstrate the impact of system state on their structures. Several promising directions for future research are also presented.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2019. Vol. 57, no 12, p. 72-77
Keywords [en]
Internet of Things; Information age; Wireless sensor networks; Energy exchange; Wireless communication; Throughput
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-162956DOI: 10.1109/MCOM.001.1900041ISI: 000502777900014OAI: oai:DiVA.org:liu-162956DiVA, id: diva2:1382349
Note

Funding Agencies|U.S. NSFNational Science Foundation (NSF) [CPS-1739642]

Available from: 2020-01-02 Created: 2020-01-02 Last updated: 2020-02-27

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