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A Study of Variable Wakeup Period for Duty Cycled MAC protocol in WSN

Duty Cycle 기반의 WSN MAC을 위한 트래픽 환경에 따른 가변 Wakeup Period 기법 제안

  • Lee, Jae-Ho (Electronics and Electrics Engineering, Korea University) ;
  • Eom, Doo-Seop (Electronics and Electrics Engineering, Korea University)
  • 이재호 (고려대학교 전자전기공학과) ;
  • 엄두섭 (고려대학교 전자전기공학과)
  • Received : 2012.07.03
  • Published : 2012.12.25

Abstract

The energy efficiency is extremely significant in Wireless Sensor Networks (WSN) which deliver the data sensed in the sensor field, using wireless communications. Under the characteristics of WSN, many MAC protocols employ the Duty Cycle mechanism which continuously operates Wakeup and Sleep periods, for the energy efficiency. However, constant Wakeup period in general Duty Cycle incurs the limited performance of the energy efficiency and the receiving ratio. For addressing this, we design and propose a new scheme called Variable Wakeup Period, considering local traffic conditions. Our scheme enhances receiving ratio by increasing Wakeup period under the high traffic condition, and makes high energy efficiency by decreasing Wakeup period under the otherwise condition. In addition, we evaluate the performance of our scheme by performing the simulation, which experiments the previous synchronous and asynchronous MAC protocols, and which also experiments the same protocols with the proposed scheme, for comparative evaluations.

센서 네트워크는 센서가 설치된 지역에서 감지된 데이터를 무선으로 전달하는 기술로서, 기존 방식과 달리 에너지 효율이 매우 중요한 성능요소이다. 이러한 특성에 따라 많은 WSN MAC 프로토콜에서는 Wakeup과 Sleep을 반복하여 수행하는 Duty Cycle 기법을 활용하고 있지만, 고정적인 Wakeup 구간의 설정에 따라 획일화된 에너지 성능과 수신 성공률로 인하여 성능이 제한적이다. 본 논문에서는 이러한 Duty Cycle 기반의 MAC 프로토콜을 개선하기 위하여, 채널 환경에 따라 동적으로 Wakeup 구간을 가변화시키는 기법을 제안한다. 제안하는 방식은 트래픽이 높은 환경에서 Wakeup 구간을 증가시켜 수신 성공률을 높이고, 트래픽이 낮은 환경에서 Wakeup 구간을 줄여 에너지 성능을 향상시켰다. 또한 본 논문에서는 제안하는 방식의 성능에 대한 효율적인 평가를 위하여 기존 동기식 및 비동기식 MAC의 결과와 제안방식을 적용한 MAC의 결과를 비교하고 이를 분석하였다.

Keywords

References

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  1. Energy-Efficient Forest Fire Prediction Model Based on Two-Stage Adaptive Duty-Cycled Hybrid X-MAC Protocol vol.18, pp.9, 2018, https://doi.org/10.3390/s18092960
  2. Duty Cycle Research for Energy Consumption Efficiency under the IoT Wireless Environment vol.22, pp.4, 2018, https://doi.org/10.7471/ikeee.2018.22.4.1210