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Performance Evaluation of ISA100.11a Superframe Using Deadline Monotonic Scheduling
Oka Danil Saputra,Soo Young Shin(신수용) 한국통신학회 2014 韓國通信學會論文誌 Vol.39 No.12(융합기술)
최근 무선 기술은 저가, 유연성, 쉬운 설치, 그리고 무엇보다 중요하게도 라우팅 문제를 해결할 수 있다는 측면에서 산업용 네트워크 분야에서 주목을 받고 있다. 그 중 ISA100.11a는 산업용 무선 환경에서 촉망 받는 표준들중의 하나이다. 산업 환경에서의 데이터 트래픽은 일반적으로 주기성을 가지며, 데드라인이라는 실시간성을 만족해야 하는 요구사항을 갖는다. 본 논문은 ISA100.11a의 주기적 태스크들의 처리를 위해 deadline monotonic scheduling 을 적용하는 것을 제안하고 이러한 제안된 알고리즘을 기반으로 ISA 100.11의 성능을 schedulability 및 beacon 오버헤드 관점에서 평가한다. 모의실험 결과 제안된 알고리즘은 기존 결과 대비 schedulability를 유지하면서도 스케줄링 오버헤드를 감소시킬 수 있다는 것을 보인다. 추가로, 이러한 네트워크 오버헤드의 감소를 통해, 제안된 알고리즘은 무선 산업용 네트워크의 성능 저하 없이 더 많은 데이터 전송이 가능할 것으로 기대된다. Recently, wireless technology gains attention for industrial networks due to low cost, flexibility, relatively easy installation and most importantly, solving the rouring issue. ISA100.11a is one of promising standard for wireless industrial networks (WINs). Data traffic in industrial networks are known to be periodic and must satisfy the real-time property namely deadline. Therefore, in this paper, we proposed to apply deadline monotonic scheduling to periodic tasks in ISA100.11a networks and to evaluate the performance of ISA100.11a by checking the schedulability and beacon frame overhead. Simulation results showns, that our proposed scheme can reduces the network overhead while maintaining schedulability as compared to the previous algorithm. In addition, by reducing the network overhead, our proposed scheme can send more data without degrading the overall performance of WINs.
Saputra, Oka Danil,Murti, Fahri Wisnu,Irfan, Mohammad,Putri, Nadea Nabilla,Shin, Soo Young The Korea Institute of Information and Commucation 2018 Journal of information and communication convergen Vol.16 No.2
Wireless capsule endoscopy (WCE) is considered as recent technology for the detection cancer cells in the human digestive system. WCE sends the captured information from inside the body to a sensor on the skin surface through a wireless medium. In WCE, the design of low-power consumption devices is a challenging topic. In the Shannon-Nyquist sampling theorem, the number of samples should be at least twice the highest transmission frequency to reconstruct precise signals. The number of samples is proportional to the power consumption in wireless communication. This paper proposes compressive sensing as a method to reduce power consumption in WCE, by means of a trade-off between samples and reconstruction accuracy. The proposed scheme is validated under channel constraints, expressed as the realistic human body path loss. The results show that the proposed scheme achieves a significant reduction in WCE power consumption and achieves a faster computation time with low signal error reconstruction.