1st Workshop on Bio-inspired Models and Technologies for Ambient Information Society

Research Article

Self-organized Data Aggregation among Selfish Nodes in an Isolated Cluster

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  • @INPROCEEDINGS{10.1007/978-3-642-32615-8_27,
        author={K. Kabir and Masahiro Sasabe and Tetsuya Takine},
        title={Self-organized Data Aggregation among Selfish Nodes in an Isolated Cluster},
        proceedings={1st Workshop on Bio-inspired Models and Technologies for Ambient Information Society},
        proceedings_a={BIOAMBIS},
        year={2012},
        month={10},
        keywords={delay tolerant networks (DTNs) evolutionary game theory self-organized aggregators message ferry},
        doi={10.1007/978-3-642-32615-8_27}
    }
    
  • K. Kabir
    Masahiro Sasabe
    Tetsuya Takine
    Year: 2012
    Self-organized Data Aggregation among Selfish Nodes in an Isolated Cluster
    BIOAMBIS
    Springer
    DOI: 10.1007/978-3-642-32615-8_27
K. Kabir1,*, Masahiro Sasabe1,*, Tetsuya Takine1,*
  • 1: Osaka University
*Contact email: habib@post.comm.eng.osaka-u.ac.jp, sasabe@comm.eng.osaka-u.ac.jp, takine@comm.eng.osaka-u.ac.jp

Abstract

This paper considers a delay tolerant network, where a message ferry travels multiple isolated clusters, collects data from nodes in the clusters, and finally delivers the data to a sink node. In our previous work, we proposed a self-organized data aggregation technique for collecting data from nodes efficiently, which can automatically accumulate data from cluster members to a limited number of cluster members called aggregators. The proposed scheme was developed based on the evolutionary game theoretic approach, in order to take account of the inherent selfishness of the nodes for saving their own battery life. The number of aggregators can be controlled to a desired value by adjusting the energy that the message ferry supplies to the aggregators. In this paper, we further examine the proposed system in terms of success of data transmission and system survivability. We first introduce a new type of game model with retransmissions. Through both theoretic and simulation approaches, we then reveal feasible parameter settings which can achieve a system with desirable characteristics: Stability, survival, and successful data transfer.