지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.10
- 수록면
- 1,404 - 1,415 (12page)
이용수
초록· 키워드
오류제보하기
The 2-dimensional arrangement method of nodes has been used in most of RF (Radio Frequency) based communication network simulations. However, this method is not useful for the an none-obstacle 3-dimensional space networks in which the propagation delay speed in communication is very slow and, moreover, the values of performance factors such as the communication speed and the error rate change on the depth of node. Such a typical example is an underwater communication network. The 2-dimensional arrangement method is also not useful for the RF based network like some WSNs (Wireless Sensor Networks), IBSs (Intelligent Building Systems), or smart homes, in which the distance between nodes is short or some of nodes can be arranged overlapping with their different heights in similar planar location. In such cases, the 2-dimensional network simulation results are highly inaccurate and unbelievable so that they lead to user’s erroneous predictions and judgments. For these reasons, in this paper, we propose a method to place uniformly and randomly communication nodes in 3-dimensional network space, making the wireless link with neighbor node possible. In this method, based on the communication rage of the node, blocks are generated to construct the 3-dimensional network and a node per one block is generated and placed within a block area. In this paper, we also introduce an algorithm based on this method and we show the performance results and evaluations on the average time in a node generation and arrangement, and the arrangement time and scatter-plotted visualization time of all nodes according to the number of them. In addition, comparison with previous studies is conducted. As a result of evaluating the performance of the algorithm, it was found that the processing time of the algorithm was proportional to the number of nodes to be created, and the average generation time of one node was between 0.238 and 0.28 us. ultimately, There is no problem even if a simulation network with a large number of nodes is created, so it can be sufficiently introduced at the time of simulation.
목차
ABSTRACT
1. 서론
2. 관련 연구
3. 노드 배치 방법 개요
4. 블록 구조
5. 블록 생성 절차
6. 노드 배치 알고리즘
7. 알고리즘 구현과 성능평가
8. 결론
REFERENCE
참고문헌 (16)
참고문헌 신청
D. Shin and C. Kim, “A Method for Applying Multiple Wireless Communication Media to Underwater Communication,” Proceedings of the Korea Software Congress 2017, pp. 1334-1336, 2017.
D. You and C. Kim, “Comparison Analysis of Integrated MAC Design Approaches for Multiple Media Communication in Underwater Environments,” Proceedings of Symposium of the Korean Institute of Communications and Information Sciences, pp. 1219-1220, 2019.
D. You, D. Shin, S. Lim, S. Jeon, and C. Kim. “Implementation of a Fragmentation Method for Flow Control in Underwater Multi-Media Communication,” Journal of Korea Multimedia Society, Vol. 23, No. 7, pp. 819-829, 2017.
B. Lee and H. Kim, “Design and Implementation of a Secure IBS Platform Using RFID and Sensor Network,” IEEE International Symposium on Consumer Electronics, pp. 1-4, 2006.
N.-T. Dinh and Y. Kim. “Auto-Configuration in Wireless Sensor Networks:A Review,” Sensors, Vol. 10, No. 19, pp. 1-24, 2019.
D. You and C. Kim, “Comparison Analysis of Integrated MAC Design Approaches for Multiple Media Communication in Underwater Environments,” Proceedings of Symposium of the Korean Institute of Communications and Information Sciences, pp. 1219-1220, 2019.
D. You, D. Shin, S. Lim, S. Jeon, and C. Kim. “Implementation of a Fragmentation Method for Flow Control in Underwater Multi-Media Communication,” Journal of Korea Multimedia Society, Vol. 23, No. 7, pp. 819-829, 2017.
B. Lee and H. Kim, “Design and Implementation of a Secure IBS Platform Using RFID and Sensor Network,” IEEE International Symposium on Consumer Electronics, pp. 1-4, 2006.
N.-T. Dinh and Y. Kim. “Auto-Configuration in Wireless Sensor Networks:A Review,” Sensors, Vol. 10, No. 19, pp. 1-24, 2019.
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