Sensor Systems and Software. First International ICST Conference, S-CUBE 2009, Pisa, Italy, September 7-9, 2009, Revised Selected Papers

Research Article

Energy-Aware Dynamic Route Management for THAWS

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  • @INPROCEEDINGS{10.1007/978-3-642-11528-8_13,
        author={Chong Shen and Sean Harte and Emanuel Popovici and Brendan O’Flynn and John Barton},
        title={Energy-Aware Dynamic Route Management for THAWS},
        proceedings={Sensor Systems and Software. First International ICST Conference, S-CUBE 2009, Pisa, Italy, September 7-9, 2009, Revised Selected Papers},
        proceedings_a={S-CUBE},
        year={2012},
        month={5},
        keywords={THAWS Energy-aware Routing Energy model Sensor network},
        doi={10.1007/978-3-642-11528-8_13}
    }
    
  • Chong Shen
    Sean Harte
    Emanuel Popovici
    Brendan O’Flynn
    John Barton
    Year: 2012
    Energy-Aware Dynamic Route Management for THAWS
    S-CUBE
    Springer
    DOI: 10.1007/978-3-642-11528-8_13
Chong Shen1,*, Sean Harte1, Emanuel Popovici1, Brendan O’Flynn1, John Barton1
  • 1: Tyndall National Institute
*Contact email: chong.shen@tyndall.ie

Abstract

In this research we focus on the Tyndall 25mm and 10mm nodes energy-aware topology management to extend sensor network lifespan and optimise node power consumption. The two tiered Tyndall Heterogeneous Automated Wireless Sensors (THAWS) tool is used to quickly create and configure application-specific sensor networks. To this end, we propose to implement a distributed route discovery algorithm and a practical energy-aware reaction model on the 25mm nodes. Triggered by the energy-warning events, the miniaturised Tyndall 10mm data collector nodes adaptively and periodically change their association to 25mm base station nodes, while 25mm nodes also change the inter-connections between themselves, which results in reconfiguration of the 25mm nodes tier topology. The distributed routing protocol uses combined weight functions to balance the sensor network traffic. A system level simulation is used to quantify the benefit of the route management framework when compared to other state of the art approaches in terms of the system power-saving.