2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

Reaction-Diffusion based Autonomous Control of Camera Sensor Networks

Download54 downloads
  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2007.2436,
        author={Katsuya Hyodo and Naoki Wakamiya and Masayuki Murata},
        title={Reaction-Diffusion based Autonomous Control of Camera Sensor Networks},
        proceedings={2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        proceedings_a={BIONETICS},
        year={2008},
        month={8},
        keywords={Biological system  Camera sensor networks  Reaction diffusion},
        doi={10.4108/ICST.BIONETICS2007.2436}
    }
    
  • Katsuya Hyodo
    Naoki Wakamiya
    Masayuki Murata
    Year: 2008
    Reaction-Diffusion based Autonomous Control of Camera Sensor Networks
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2007.2436
Katsuya Hyodo1,*, Naoki Wakamiya1,*, Masayuki Murata1,*
  • 1: Graduate School of Information Science and Technology, Osaka University 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan
*Contact email: k-hyodo@ist.osaka-u.ac.jp, wakamiya@ist.osaka-u.ac.jp, murata@ist.osaka-u.ac.jp

Abstract

Although wireless camera sensor networks are useful and powerful means of monitoring and surveillance, the high volume of video data would cause serious network congestion and degradation of perceived video quality for the limited capacity of wireless communication. In this paper, we propose an autonomous control mechanism of video coding rate, where each node autonomously determines its coding rate based on information obtained through local communication. For this purpose, we applied a reaction-diffusion model, which explains the emergence of variety of animal coat patterns. A spot pattern of video coding rate, which is centered at the target position and spreads towards the moving direction, is generated through local interactions among neighboring nodes. Simulation results show the effectiveness of our proposal.