FiMoDeAL: pilot study on shortest path heuristics in wireless sensor network for fire detection and alert ensemble

Maureen Ifeanyi Akazue, Abel Efetobore Edje, Margaret Dumebi Okpor, Wilfred Adigwe, Patrick Ogholuwarami Ejeh, Christopher Chukwufunaya Odiakaose, Arnold Adimabua Ojugo, Edim Bassey Edim, Rita Erhovwo Ako, Victor Ochuko Geteloma

Abstract


With the incessant outbreak of fire, the heavy loss to both lives and properties in the society fire has since become a critical issue and challenge that needs our daily attention to be resolved. Loss of lives and properties to fire outbreak in 2021 alone as occurring in major Nigerian markets and residential homes was estimated at over 3 trillion Naira. Our study proposes a wireless sensor network internet of things (IoT) based ensemble to aid the effective monitoring, detection and alerting of residents and fire service departments. With cost as a major issue and the requisite installation of fire and smoke detectors in many houses our ensemble can efficiently integrate into the existing system using the ESP8285-controller to create a comprehensive access control system. The system provides real time monitor and control capabilities that will allow administrators to track and manage fire monitor and detection within a facility. Thus, enhances system's efficiency and performance.

Keywords


Bellman ford algorithm; Djikstra algorithm; Fire detection and response; Fire monitor; Internet of things; Wireless sensor networks

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DOI: https://doi.org/10.11591/eei.v13i5.8084

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Bulletin of EEI Stats

Bulletin of Electrical Engineering and Informatics (BEEI)
ISSN: 2089-3191, e-ISSN: 2302-9285
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).