This paper presents Data fusion and Internet of things (IoT) approach in Fire Disaster Management. Data fusion techniques in Internet of Things were used for predicting and detecting early fire outbreaks in households and industrial premises. Smoke, temperature and voltage measurement sensory data were used in the system for early fire detection. Action Research Methodology was adopted in carrying out research and UML was used as design tool. The architectural design consists of contextual information such as smoke, room temperature and electricity voltage level as an input. The system was implemented using JavaScript and PHP environment to verify the performance of the proposed system. Dynamic simulations were performed using a real time data obtained from River State Fire Service, Port Harcourt, Rivers State, Nigeria. The performance of the proposed system indicates that data fusion-based system with the use of smoke, temperature and voltage detector is able to detect fires more reliable and highly accurate from the fire detection unit than one sensory data. The results were promising indicating the real state of fire outbreak prediction

Data fusion, context awareness, Internet of Thing, multi-sensors, smart environments, disaster detection

[1]. Mitchell, H. B. “Multi-sensor data fusion: an introduction”. Springer Science & Business Media, 2007.
[2]. Din, S., Awais A., Anand P., Muhammad M. U. R., and Gwanggil J., "A cluster-based data fusion technique to analyze big data in wireless multi-sensor system." IEEE Access Issue.5 pp.5069-5083, 2017.
[3]. Ao, S. I., Mahyar A., and Burghard B. R., eds. “Intelligent Automation and Systems Engineering”. Springer Science & Business Media, Vol.103, 2011.
[4]. Myat, S. N., Hla, M. T., “Implementation of Multisensor Data Fusion Algorithm”, International Journal of Sensors and Sensor Networks. Vol.5, Issuie.4, pp.48-53, 2017.
[5]. Ojas S., Anup M., Deepika A., Sushmita S., “Internet of Things in Precision Agriculture using Wireless Sensor Networks”. International Journal of Advanced Engineering & Innovative Technology, Vol.2, Issue.3, 2015.
[6]. Perera, C., A. Zaslavsky, P. Christen, and D. Georgakopoulos. “Context awareness for internet of things”. In IEEE International Conference on Conference on Internet of Things (iThing), pp.775–782, 2012 Besanon, France, November.
[7]. Alam, F. Mehmood, R., Katib, I., Albogami, N. N. & Albeshri, A. "Data Fusion and IoT for Smart Ubiquitous Environments: A Survey," in IEEE Access, Issue.5, pp.9533-9554, 2017.
[8]. Wang, M., Perera, C., Jayaraman, P. Zhang, M., Strazdins, P., Shyamsundar, R.K. and Ranjan, R. City data fusion: Sensor data fusion in the internet of things. -5225-1832-7, 2017.
[9]. Gite, S., and Agrawal, H. "On context awareness for multisensor data fusion in IoT", Proc. 2nd International Conference of Computer Communication Technology, Vol.381, pp.85-93, 2015.
[10]. Ying-Yao Ting, Chi-Wei HSIAO, Huan-Sheng WANG, A Data Fusion-Based Fire Detection System, IEICE Transactions on Information and Systems, Vol.E101.D, Issue.4, pp.977-984. 2018.
[11]. Chang, N. B., Bai, K. X., Imen, S., Chen, C. F., and Gao, W., Multi-sensor satellite image fusion, networking, and cloud removal for all-weather environmental monitoring. IEEE Systems Journal, pp.1–17, 2016.
[12]. Davood, I., Jemal, H., Abawajy , S.G. and Tutut, H. “A Data Fusion Method in Wireless Sensor Networks” Sensors Vol.15, Issue.2:, pp.2964-2979, 2015.
[13]. King, C. R., Villeneuve, E., White, R., Sherratt, R., Holderbaum, W. and Harwin, W. Application of data fusion techniques and technologies for wearable health monitoring. Medical Engineering & Physics. Vol.42, Issue.12, pp.11, 2017.
[14]. Erdelj, I., Jemal, H., Abawajy , S. G. and Tutut, H. “A Data Fusion Method in Wireless Sensor Networks” Sensors, Vol.15, Issue.2, pp.2964-2979, 2015.
[15]. Nuka, B., Big data and fusion. International Journal of Image and Data Fusion, Vol.6, Issue.1, pp.1-2, 2012.
[16]. O’Brien D., “A survey on internet of things from industrial market perspective.” Access, Institute of Electrical and Electronics Engineers (IEEE), Issue.2, pp.1660–1679, 2011.
[17]. Elliot, C. H., Big Data Fusion in Internet of Things. Information Fusion. Vol.40, Issue.10, pp.1016. 1999.
[18]. Jacobson, B., Din, A., Ahmad, A., Paul, M. M., Ullah R., and Jeon, G., "A cluster-based data fusion technique to analyze big data in wireless multi-sensor system," in Institute of Electrical and Electronics Engineers (IEEE) Issue.5, pp.5069-5083, 2009.
[19]. Ivar, Y. A., Md Din N., Yussof, S., and Ullah Khan S., "Big data analytics for Flood Information Management in Kelantan, Malaysia," in Proc. IEEE Student Conference on Research and Development (SCOReD), pp.311-316. 2012.
[20]. Booch, G., “The Unified Modeling Language User Guide.” J. Database Manag.Issue.10, pp.51-52, 1999.