Academic Journal

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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: FiMoDeAL: pilot study on shortest path heuristics in wireless sensor network for fire detection and alert ensemble.
Συγγραφείς: Akazue, Maureen Ifeanyi, Edje, Abel Efetobor, Okpor, Margaret Dumebi, Adigwe, Wilfred, Ejeh, Patrick Ogholuwarami, Odiakaose, Christopher Chukwufunaya, Ojugo, Arnold Adimabua, Edim, Edim Bassey, Ako, Rita Erhovwo, Geteloma, Victor Ochuko
Πηγή: Bulletin of Electrical Engineering & Informatics; Oct2024, Vol. 13 Issue 5, p3534-3543, 10p
Θεματικοί όροι: Wireless sensor networks, Real-time control, Fire detectors, Internet usage monitoring, Internet of things
Περίληψη: 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. [ABSTRACT FROM AUTHOR]
Copyright of Bulletin of Electrical Engineering & Informatics is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Bulletin of Electrical Engineering & Informatics; Oct2024, Vol. 13 Issue 5, p3534-3543, 10p
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  Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+control%22">Real-time control</searchLink><br /><searchLink fieldCode="DE" term="%22Fire+detectors%22">Fire detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+usage+monitoring%22">Internet usage monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Bulletin of Electrical Engineering & Informatics is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.11591/eei.v13i5.8084
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              Text: Oct2024
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              Y: 2024
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