Sequential localization with Beacon Nodes along the Seashore for Marine Monitoring Sensor Network (해안에 설치된 비콘 노드를 이용한 해양 모니터링 센서의 순차적인 위치 파악)

김청산; 김은찬; Ki Seon Kim (김기선); Yeongyoon Choi (최영윤)

Sequential localization with Beacon Nodes along the Seashore for Marine Monitoring Sensor Network

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2007, 12(4), pp.269-277
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

김청산 ¹, 김은찬 ¹, Ki Seon Kim ¹, Yeongyoon Choi ²

¹광주과학기술원
²육군사관학교

Accredited

ABSTRACT

Wireless sensor network system is expected to get high attention in research for now and future owing to the advanced hardware development technology and its various applicabilities. Among variety of sensor network systems, the seashore and marine sensor network, which are extended to get sampling of marine resources, environmental monitoring to prevent disaster and to be applied to the area of sea route guidance. For these marine applications to be available, however, the provision of precise location information of every sensor nodes is essential. In this paper, the sequential localization algorithm for obtaining the location information of marine sensor nodes. The sequential localization is done with the utilization of a small number of beacon nodes along the seashore and gets the location of nodes by controling the sequences of localization and also minimizes the error accumulation. The key idea of this algorithm for localization is that the localization priority of each sensor nodes is determined by the number of reference nodes' information. This sequential algorithm shows the improved error performance and also provide the increased coverage of marine sensor network by enabling the maximum localization of sensor nodes as possible.

KEYWORDS

seashore, marine, localization, TDOA, sequential, beacon node, sensor networks

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65