원문정보
보안공학연구지원센터(IJFGCN)
International Journal of Future Generation Communication and Networking
Vol.9 No.2
2016.02
pp.155-162
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In order to increase the node energy utilization and lengthen the lifetime of the wireless sensor network (WSN), a novel clustering node sleep scheduling algorithm based on data fusion (DFS) is proposed in this paper. DFS increases cluster head's sleep time by adapting the data fusion window, which can realize the goal of energy saving and increase the whole network's lifetime. Simulation results show that the DFS method improves the effectiveness of the network energy consumption and it has better performance on the network coverage maintenance with effectively extending the lifetime of the network．
목차
Abstract
1. Introduction
2. Considerations in Sleep Scheduling
2.1. Coverage
2.2. Connectivity
2.3. Sleep-Induced Delay
3. Data Fusion-Based Sleep Scheduling Algorithm
1. Initialization
2. Updating of the Table of Neighbors Information
3. Adjustment of the Data Fusion Window
4. Adjustment of the Head Sleep Time
4. Simulations and Result Analysis
4.1. Comparison of Results Achieved Before and After Algorithm Implementation
4.2. Comparison with Other Sleeping Scheduling Methods
5. Conclusion
References
1. Introduction
2. Considerations in Sleep Scheduling
2.1. Coverage
2.2. Connectivity
2.3. Sleep-Induced Delay
3. Data Fusion-Based Sleep Scheduling Algorithm
1. Initialization
2. Updating of the Table of Neighbors Information
3. Adjustment of the Data Fusion Window
4. Adjustment of the Head Sleep Time
4. Simulations and Result Analysis
4.1. Comparison of Results Achieved Before and After Algorithm Implementation
4.2. Comparison with Other Sleeping Scheduling Methods
5. Conclusion
References
저자정보
참고문헌
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