Age-optimal mobile elements scheduling for recharging and data collection in green IoT

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dc.contributor.authorMa, Jianxin
dc.contributor.authorShi, Shuo
dc.contributor.authorGu, Shushi
dc.contributor.authorZhang, Ning
dc.contributor.authorXuemai, Gu
dc.creator.orcidhttps://orcid.org/0000-0002-2518-8367en_US
dc.creator.orcidhttps://orcid.org/0000-0002-8781-4925en_US
dc.creator.orcidhttps://orcid.org/0000-0002-5671-266Xen_US
dc.creator.orcidhttps://orcid.org/0000-0002-3897-5407en_US
dc.creator.orcidhttps://orcid.org/0000-0002-6011-9885en_US
dc.creator.orcidhttps://orcid.org/0000-0002-2518-8367
dc.creator.orcidhttps://orcid.org/0000-0002-8781-4925
dc.creator.orcidhttps://orcid.org/0000-0002-5671-266X
dc.creator.orcidhttps://orcid.org/0000-0002-3897-5407
dc.creator.orcidhttps://orcid.org/0000-0002-6011-9885
dc.creator.orcidhttps://orcid.org/0000-0002-2518-8367
dc.creator.orcidhttps://orcid.org/0000-0002-8781-4925
dc.creator.orcidhttps://orcid.org/0000-0002-5671-266X
dc.creator.orcidhttps://orcid.org/0000-0002-3897-5407
dc.creator.orcidhttps://orcid.org/0000-0002-6011-9885https://orcid.org/0000-0002-2518-8367
dc.creator.orcidhttps://orcid.org/0000-0002-8781-4925
dc.creator.orcidhttps://orcid.org/0000-0002-5671-266X
dc.creator.orcidhttps://orcid.org/0000-0002-3897-5407
dc.creator.orcidhttps://orcid.org/0000-0002-6011-9885
dc.date.accessioned2022-03-22T20:00:47Z
dc.date.available2022-03-22T20:00:47Z
dc.date.issued2020-04-28
dc.description.abstractEnsuring real-time reporting of fresh information and maintaining the sustainability of power supply is of great importance in time-critical green Internet of Things (IoT). In this paper, we investigate the mobile element scheduling problem in a network with multiple independent and rechargeable sensors, in which mobile elements are dispatched to collect data packets from the sensor nodes and to recharge them. The age of information (AoI) is used to measure the time elapsed of the most recently delivered packet since the generation of the packet. We propose an age-optimal mobile elements scheduling (AMES), which decides the trajectories of mobile elements based on a cooperative enforcement game and completes the time-slot allocation in each meeting point, to minimize the average AoI and maximize the energy efficiency. The cooperative enforcement game enables the mobile elements to make optimal visiting decisions and avoid the visiting conflicts, and the outcome of the game is pareto-optimal. Compared to the existing approaches, i.e., greedy algorithm (GA), greedy-neighborhood algorithm (GA-neighborhood), simulation results demonstrate that AMES can achieve a lower average AoI and a higher energy efficiency with a higher successful visiting ratio of the sensor node.en_US
dc.description.abstractEnsuring real-time reporting of fresh information and maintaining the sustainability of power supply is of great importance in time-critical green Internet of Things (IoT). In this paper, we investigate the mobile element scheduling problem in a network with multiple independent and rechargeable sensors, in which mobile elements are dispatched to collect data packets from the sensor nodes and to recharge them. The age of information (AoI) is used to measure the time elapsed of the most recently delivered packet since the generation of the packet. We propose an age-optimal mobile elements scheduling (AMES), which decides the trajectories of mobile elements based on a cooperative enforcement game and completes the time-slot allocation in each meeting point, to minimize the average AoI and maximize the energy efficiency. The cooperative enforcement game enables the mobile elements to make optimal visiting decisions and avoid the visiting conflicts, and the outcome of the game is pareto-optimal. Compared to the existing approaches, i.e., greedy algorithm (GA), greedy-neighborhood algorithm (GA-neighborhood), simulation results demonstrate that AMES can achieve a lower average AoI and a higher energy efficiency with a higher successful visiting ratio of the sensor node.
dc.identifier.citationMa, J., Shi, S., Gu, S., Zhang, N. and Gu, X., 2020. Age-optimal mobile elements scheduling for recharging and data collection in green IoT. IEEE Access, 8, pp.81765-81775.en_US
dc.identifier.citationMa, J., Shi, S., Gu, S., Zhang, N. and Gu, X., 2020. Age-optimal mobile elements scheduling for recharging and data collection in green IoT. IEEE Access, 8, pp.81765-81775.
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2020.2990931
dc.identifier.urihttps://hdl.handle.net/1969.6/90301
dc.language.isoen_USen_US
dc.language.isoen_US
dc.publisherIEEEen_US
dc.publisherIEEE
dc.rightsAttribution 4.0 International*
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectsensorsen_US
dc.subjecttrajectoryen_US
dc.subjectinternet of thingsen_US
dc.subjectinformation ageen_US
dc.subjectgamesen_US
dc.subjectwireless sensor networksen_US
dc.subjectdata collectionen_US
dc.subjectsensors
dc.subjecttrajectory
dc.subjectinternet of things
dc.subjectinformation age
dc.subjectgames
dc.subjectwireless sensor networks
dc.subjectdata collection
dc.titleAge-optimal mobile elements scheduling for recharging and data collection in green IoTen_US
dc.titleAge-optimal mobile elements scheduling for recharging and data collection in green IoT
dc.typeArticleen_US
dc.typeArticle

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