상세정보
학술대회
Energy-Efficient Predictive Tracking for Continuous Objects in Wireless Sensor Networks
- 발행일
- 201009
- 출처
- International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2010, pp.1725-1730
- 협약과제
- 10MI4300, All-IP 융합 네트워크를 위한 통합 시그널링 기술개발, 류호용
- 초록
- Due to the severe resource constraints of sensor hardware, energy efficiency is one of critical factors for monitoring the movement of the large-scale phenomena such as wild fire and hazardous bio-chemical material, denoted by continuous objects. In order to save energy, most of existing research on tracking the continuous objects focuses on finding the ways to minimize the communication cost through the effective data delivery such as data aggregation and reducing the number of reporting nodes, and not much work has been done on sensor state scheduling. Energy efficiency is expected to improve if only sensor nodes near the boundary of continuous object actively participate in tracking process, while other sensor nodes stay on sleep state for energy saving. In this paper, we propose a predictive continuous object tracking scheme, called PRECO, which uses minimum set of active sensing nodes to reduce energy consumption. The proposed scheme predicts the future boundary line, which provides the knowledge for a wake-up mechanism to decide which sleeping nodes need to be activated for future tracking. The proposed algorithm is verified with simulation results that total energy consumption can be dramatically reduced under acceptable boundary detection accuracy. ©2010 IEEE.
- KSP 제안 키워드
- Active Sensing, Communication cost, Continuous object tracking, Critical factors, Detection accuracy, Energy Efficiency, Energy saving, Predictive tracking, Reduce energy consumption, Resource constraints, Save energy