Moonseong Kim¹, Jaeyoung Park², Young-Joon Kim³, Woochan Lee^4,*

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1613-1625, 2023, DOI:10.32604/iasc.2023.033081

Abstract Mobile sensor nodes such as hopping sensors are of critical importance in data collection. However, the occurrence of sensing holes is unavoidable due to the energy limitation of the nodes. Thus, it is evident that the relocation of mobile sensors is the most desirable method to recover the sensing holes. The previous research conducted by the authors so far demonstrated the most realistic hopping sensor relocation scheme, which is suitable for the distributed environment. In previous studies, the cluster header plays an essential role in detecting the sensing hole and requesting the neighboring cluster to recover the sensing hole that… More >

Moonseong Kim¹, Woochan Lee^2,*

Computer Systems Science and Engineering, Vol.44, No.1, pp. 663-675, 2023, DOI:10.32604/csse.2023.025615

Abstract The occurrence of ‘sensing holes’ not only hinders seamless data collection but also leads to misinterpretation of information in certain areas under extensive data analysis. In order to overcome this, various sensor relocation strategies have been proposed, but the existing relocation strategies revealed problems such as the ping-pong, shaded area, network disconnection, etc. This paper conducted research on relocation protocols in a distributed environment that is very suitable for real-world situations and efficiently recovering the problem of sensing holes. First, a simulation was performed on the distribution of the shaded area for data collection, which is a problem with the… More >

Sooyeon Park¹, Moonseong Kim², Woochan Lee^{1, *}

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1181-1201, 2020, DOI:10.32604/cmc.2020.011245

Abstract With the recent development of big data technology that collects and analyzes various data, the technology that continuously collects and analyzes the observed data is also drawing attention. Moreover, its importance is growing in data collection in areas where people cannot access. In general, it is not easy to properly deploy IoT wireless devices for data collection in these areas, and it is also inappropriate to use general wheelbased mobile devices for relocation. Recently, researches have been actively carried out on hopping moving models in place of wheel-based movement for the inaccessible regions. The majority of studies, however, so far… More >