@Article{cmc.2020.011245,
AUTHOR = {Sooyeon Park, Moonseong Kim, Woochan Lee},
TITLE = {Success Rate Queue-Based Relocation Algorithm of Sensory  Network to Overcome Non-Uniformly Distributed Obstacles},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {2},
PAGES = {1181--1201},
URL = {http://www.techscience.com/cmc/v65n2/39868},
ISSN = {1546-2226},
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 have unrealistic assumptions that all IoT devices 
know the overall state of the network and the current state of each device. Moreover, 
various physical terrain environments, such as coarse gravel and sand, can change from 
time to time, and it is impossible for all devices to recognize these changes in real-time. In 
this paper, with the migration success rate of IoT hopping devices being relocated, the 
method of estimating the varying environment is proposed. This method can actively reflect 
the changing environment in real-time and is a realistic distributed environment-based 
relocation protocol on behalf of non-realistic, theory-based relocation protocols. Also, one 
of the significant contributions of this paper is to evaluate its performance using the 
OMNeT++ simulation tool for the first time in the world to reflect actual physical 
environmental conditions. Compared to previous studies, the proposed protocol was able to 
actively reflect the state of the surrounding environment, which resulted in improved 
migration success rates and higher energy efficiency.},
DOI = {10.32604/cmc.2020.011245}
}