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Environment Adaptive WBAN Routing based on Residual energy

에너지량에 기반한 환경 적응 WBAN 라우팅 알고리즘

  • 김의연 (경희대학교 컴퓨터공학과) ;
  • 김대영 (경희대학교 컴퓨터공학과) ;
  • 신상배 (경희대학교 컴퓨터공학과) ;
  • 조진성 (경희대학교 컴퓨터공학과)
  • Received : 2010.06.10
  • Accepted : 2010.08.17
  • Published : 2011.01.31

Abstract

In this paper, we propose an routing algorithm for ultra low power and high reliable transmission in WBAN environment. This algorithm is to minimize energy consumption and to maximize the life and reliability for medical devices. Also, this algorithm is not only medical devices but also non-medical devices is to minimize energy consumption and to maximize the life of device. The combination of the distance from the previous node and residual energy calculates weight. The calculated weight is used to calculate the weight of full path by cumulative weights. The full path to the smallest of the weights are set to the path. Also this algorithm is able to select another path to avoid the error path by determining the link status between nodes, when occurs link error and congestion. In this paper, we show that WSN routing algorithm based on shortest hop count routing algorithm and EAR routing algorithm compared to ensure high reliability and low power characteristic of WBAN to be verified through simulations.

본 논문에서는 WBAN 환경에서의 저전력 사용과 신뢰성 있는 전송을위한 라우팅 알고리즘을 제안한다. 제안하는 알고리즘은 의료 서비스와 비의료 서비스가 공존하는 WBAN 환경에서 의료용 장치의 에너지 소모를 최대한 줄이고 수명 및 안정성을 최대한 높이는 방법이다. 또한 의료용 장치 뿐 만 아니라 비의료용 장치도 에너지 소모를 최소화하고, 장치의 수명도 최대화 할 수있다. 경로 선택 시 이전 노드와의 거리와 잔존 에너지량을 고려하여 가중치를 계산하고 가중치의 값을 합하여 전체 경로의 가중치를 계산한다. 전체 경로의 가중치가 가장 작은 것을 경로로 설정한다. 또한 이 알고리즘은 노드간의 링크 상태를 파악해서 링크 에러 및 혼잡 상황이 발생 했을 때 에러 경로를 회피하여 다음 가중치의 경로를 선택할 수 있다. 본 논문에서는 무선 센서 네트워크 라우팅 알고리즘인 홉 카운트 기반 최단 거리 라우팅 알고리즘과 EAR 라우팅 알고리즘을 비교 대상으로 하여 WBAN의 특성인 저전력과 높은 신뢰성 보장을 시뮬레이션을 통해 확인한다.

Keywords

References

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