ChinaCom2009-Frontiers on Communications and Networking Symposium

Research Article

Hierarchical Data Aggregation Model and Group Management for Wireless Sensor Networks

  • @INPROCEEDINGS{10.1109/CHINACOM.2009.5339794,
        author={Sheng-Tzong Cheng and Yen-Fan Lai and Chi-Hsuan Wang and Red-Tom Lin},
        title={Hierarchical Data Aggregation Model and Group Management for Wireless Sensor Networks},
        proceedings={ChinaCom2009-Frontiers on Communications and Networking Symposium},
        publisher={IEEE},
        proceedings_a={CHINACOM2009-FCN},
        year={2009},
        month={11},
        keywords={WSN; Hierarchical Aggregation; data dissemination},
        doi={10.1109/CHINACOM.2009.5339794}
    }
    
  • Sheng-Tzong Cheng
    Yen-Fan Lai
    Chi-Hsuan Wang
    Red-Tom Lin
    Year: 2009
    Hierarchical Data Aggregation Model and Group Management for Wireless Sensor Networks
    CHINACOM2009-FCN
    IEEE
    DOI: 10.1109/CHINACOM.2009.5339794
Sheng-Tzong Cheng1,*, Yen-Fan Lai1, Chi-Hsuan Wang1, Red-Tom Lin2,*
  • 1: Computer Science Information Engineering, National Cheng Kung University Tainan, Taiwan
  • 2: Networks and Multimedia Institute, Institute for Information Industry, Tainan, Taiwan
*Contact email: stcheng@mail.ncku.edu.tw, ling9028@iii.org.tw

Abstract

Disseminating data generated by sensors to sinks at different locations is one of essential functions in wireless sensor networks (WSNs). Recent research focuses much on how a source node forwards sensing data directly to the sink. In this paper, we propose a novel dissemination scheme that obtains five-layer data aggregation by introducing aggregator layers between sensors and sinks. The five aggregation layers from bottom to top are raw data aggregation, in-node data aggregation, group aggregation, aggregator aggregation and agent aggregation layers. In addition, the proposed network architecture for data delivery comprises two different transfer tiers. The lower tier is WSN and the upper tier is WLAN. The simulation results show that our scheme provides excellent throughput and reduces more power consumption for WSNs.