Improving Path Prediction Using Grid for Sensor Registry System

Jung, Hyunjun; Lee, Sukhoon; Jeong, Dongwon

doi:10.14801/jkiit.2018.16.3.1

Cited by 2 publications

(5 citation statements)

References 11 publications

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“…Meanwhile, Jung et al [ 20 ] proposed a grid-based path prediction method by improving PP-SRS. This method is based on the Greedy algorithm, similar to the CBP-PP.…”

Section: The Proposed Methodsmentioning

confidence: 99%

“…PP-SRS [ 12 ] is designed to support path prediction in real time and uses a segment-based method. The grid-based path prediction algorithm for SRS is also researched [ 20 ]. This method supports a grid-based and real-time path prediction.…”

Section: Related Workmentioning

confidence: 99%

“…NC-SRS has the same path prediction algorithm as the PP-SRS. Thus, the grid-based path prediction algorithm described in [ 20 ] can be applied to the NC-SRS, but we also improve the algorithm by segmenting the weight by, for example, adding directionality to the grid.…”

Section: Related Workmentioning

confidence: 99%

“…This section compares systems based on the SRS and on this paper to verify their characteristics. The PP-SRS [ 12 ], the NC-SRS [ 13 ], Jung et al’s system [ 20 ], and the SRS-PIS are selected for comparison. Table 2 shows the comparison result of the SRS-based systems and the SRS-PIS.…”

Section: Experimental Implementation and Evaluationmentioning

confidence: 99%

“…In this respect, quantitative evaluations such as building cost have already been presented in Ref. [ 20 ].…”

Section: Experimental Implementation and Evaluationmentioning

confidence: 99%

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Development of Sensor Registry System-Based Predictive Information Service Using a Grid

Jung

Jeong

Lee

2018

Sensors

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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.

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“…Meanwhile, Jung et al [ 20 ] proposed a grid-based path prediction method by improving PP-SRS. This method is based on the Greedy algorithm, similar to the CBP-PP.…”

Section: The Proposed Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%