Spatiotemporal correlation-based environmental monitoring system in energy harvesting internet of things (IoT)

Haneul Ko, Sangheon Pack, Victor C.M. Leung

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

To provide an accurate environmental map (EM) while avoiding unnecessary transmissions of Internet of Things (IoT) devices, we propose a spatiotemporal correlation-based environmental monitoring system (ST-EMS). In ST-EMS, IoT devices decide whether to transmit the sensed data to an IoT gateway (GW) or not by considering the temporal correlation in the sensed data and energy level. Through a Markov decision process (MDP) formulation, the optimal policy is obtained and it is proved that the optimal policy of MDP has an implementation-friendly threshold structure by using the submodularity concept. Also, the IoT GW in ST-EMS restores EM and improves its accuracy by exploiting the spatial correlation among sensed data using probabilistic matrix factorization. Evaluation results demonstrate that ST-EMS can improve the expected total reward significantly compared with other schemes and achieve low mean square error of 1% in EM restoration.

Original languageEnglish
Article number8588359
Pages (from-to)2958-2968
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume15
Issue number5
DOIs
Publication statusPublished - 2019 May

Keywords

  • Energy harvesting
  • Internet of Things (IoT)
  • Markov decision process (MDP)
  • monitoring service
  • probabilistic matrix factorization (PMF)
  • spatiotemporal correlation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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