Sensor Applications, Experimentation, and Logistics. First International Conference, SENSAPPEAL 2009, Athens, Greece, September 25, 2009, Revised Selected Papers

Research Article

Wireless Sensor Network Application for Fire Hazard Detection and Monitoring

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  • @INPROCEEDINGS{10.1007/978-3-642-11870-8_1,
        author={Elias Manolakos and Evangelos Logaras and Fotis Paschos},
        title={Wireless Sensor Network Application for Fire Hazard Detection and Monitoring},
        proceedings={Sensor Applications, Experimentation, and Logistics. First International Conference, SENSAPPEAL 2009, Athens, Greece, September 25, 2009, Revised Selected Papers},
        proceedings_a={SENSAPPEAL},
        year={2012},
        month={5},
        keywords={Fire hazard detection wireless sensor network embedded systems AVR Butterfly Zigbee},
        doi={10.1007/978-3-642-11870-8_1}
    }
    
  • Elias Manolakos
    Evangelos Logaras
    Fotis Paschos
    Year: 2012
    Wireless Sensor Network Application for Fire Hazard Detection and Monitoring
    SENSAPPEAL
    Springer
    DOI: 10.1007/978-3-642-11870-8_1
Elias Manolakos1,*, Evangelos Logaras1,*, Fotis Paschos1
  • 1: National and Kapodistrian University of Athens
*Contact email: eliasm@di.uoa.gr, evlog@di.uoa.gr

Abstract

Hazard detection systems are sophisticated tools that can help us detect and prevent environmental disasters. The role of a well designed environmental hazard detection system based on a Wireless Sensor Network (WSN) is to continuously monitor and report the environment’s status by sampling relevant physical parameters (e.g. temperature), but at a rate that can be adapted dynamically to the criticality of the current situation, so that precious energy is conserved as much as possible and communication bandwidth is not wasted, both preconditions that need to be met for a scalable WSN application. We have designed and built a small-scale prototype of such a WSN system for fire detection and monitoring based on inexpensive in-house developed wireless sensor nodes. These nodes combine an AVR Butterfly microcontroller demonstration kit with an Xbee wireless Zigbee transceiver. The emphasis of the work reported here is on the software designed for the fire hazard detection application. We discuss the embedded computing strategy developed for the in-field sensor nodes that allows them to adjust their mode of operation (i.e. their sampling and reporting rates) dynamically and in an autonomous manner depending on the area prevailing conditions. We also discuss the functionality of the software running on the central node (PC) that is used to initialize the WSN system, synchronize nodes, monitor their status by maintaining an active registry, adjust parameters at any time, inspect real-time plots of the incoming temperature reports of selected nodes to monitor emerging trends and patterns etc. Several examples of the end-to-end system’s use are also presented and discussed.