PMID- 30366397
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20181030
LR  - 20181217
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 18
IP  - 11
DP  - 2018 Oct 25
TI  - Development of Sensor Registry System-Based Predictive Information Service Using 
      a Grid.
LID - 10.3390/s18113620 [doi]
LID - 3620
AB  - A sensor registry system (SRS) registers sensor metadata and provides them for a 
      seamless semantic process. Recently, network coverage information-based SRS 
      (NC-SRS) was developed to provide sensor information filtering by combining path 
      prediction and network coverage checks. However, the NC-SRS has problems caused 
      by issues such as termination of OpenSignal service and pre-building road 
      segments. Therefore, this paper proposes a sensor registry system-based 
      predictive information service (SRS-PIS) using a grid. SRS-PIS predicts a path 
      based on the grid, checks the network coverage, and filters the sensor. This 
      paper presents a grid-based real-time path prediction algorithm and an algorithm 
      for grouping network service-disabled areas. To obtain network coverage 
      information, we constructed and implemented a grid-based coverage map through 
      experiment to measure the signal strength. As an evaluation, we compared features 
      among SRS-based systems and SRS-PIS, and compared advantages and disadvantages 
      between segment-based and grid-based methods.
FAU - Jung, Hyunjun
AU  - Jung H
AD  - Sensor Intelligence Research Center, Gwangju Institute of Science and Technology, 
      Buk-gu, Gwangju 61005, Korea. junghj85@gist.ac.kr.
FAU - Jeong, Dongwon
AU  - Jeong D
AD  - Department of Software Convergence Engineering, Kunsan National University, 
      Gunsan-si, Jeollabuk-do 54150, Korea. djeong@kunsan.ac.kr.
FAU - Lee, Sukhoon
AU  - Lee S
AUID- ORCID: 0000-0002-3390-5602
AD  - Department of Software Convergence Engineering, Kunsan National University, 
      Gunsan-si, Jeollabuk-do 54150, Korea. leha82@kunsan.ac.kr.
LA  - eng
GR  - NRF-2017R1C1B2012065/National Research Foundation of Korea/
PT  - Journal Article
DEP - 20181025
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
PMC - PMC6263669
OTO - NOTNLM
OT  - mobile network coverage
OT  - network coverage grouping
OT  - path prediction
OT  - received signal strength
OT  - sensor registry system
COIS- The authors declare no conflict of interest.
EDAT- 2018/10/28 06:00
MHDA- 2018/10/28 06:01
PMCR- 2018/11/01
CRDT- 2018/10/28 06:00
PHST- 2018/09/20 00:00 [received]
PHST- 2018/10/22 00:00 [revised]
PHST- 2018/10/23 00:00 [accepted]
PHST- 2018/10/28 06:00 [entrez]
PHST- 2018/10/28 06:00 [pubmed]
PHST- 2018/10/28 06:01 [medline]
PHST- 2018/11/01 00:00 [pmc-release]
AID - s18113620 [pii]
AID - sensors-18-03620 [pii]
AID - 10.3390/s18113620 [doi]
PST - epublish
SO  - Sensors (Basel). 2018 Oct 25;18(11):3620. doi: 10.3390/s18113620.