Forest Fire Prevention Using WSN Assisted IOT

  • Authors

    • Vrince Vimal
    • Madhav Ji Nigam
    2018-07-20
    https://doi.org/10.14419/ijet.v7i3.12.17877
  • Forest Fire, WSN, Clustering, IoT.

  • Internet of Things is the mainstay of the new era since its application becomes the future of day-to-day life. This work targets the IoT network assisted by WSN to prevent forest fire. We propose two-layer architecture of sensor network assisted by IoT enabled UAVs. The data flows in the proposed architecture in bottom-up fashion i.e., data is sensed by the nodes, which are deployed in the forest area (and sense temperature continuously). This data is transmitted to upper layer consisting of UAVs, which take appropriate action (to sprinkle water to bring temperature down to prevent fire). All the UAVs are interconnected to each other as well as to base station. The sensor nodes are clustered using two-step clustering algorithm, which takes care of the isolated nodes. The scheme has been equated to another WSN assisted IoT clustering technique. The proposed scheme outperforms the existing in terms of congestion at the UAV stations, number of alive nodes and remaining energy of the network.

     

     

  • References

    1. [1] S. Sharma, “Virtual and augmented reality: Applications in emergency fire evacuation for training and education",†2016.

      [2] V. Vimal and M. J. Nigam, “Ensuring uniform energy consumption in non- deterministic wireless sensor network to protract networks lifetime,†Int. J. Electron. Commun. Eng., vol. 11, no. 9, pp. 966–970, 2017.

      [3] W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks,†Proc. 33rd Annu. Hawaii Int. Conf. Syst. Sci., vol. 0, no. c, pp. 3005–3014, 2000.

      [4] H. Wang, N. Agoulmine, M. Ma, and Y. Jin, “Network lifetime optimization in wireless sensor networks,†IEEE J. Sel. Areas Commun., vol. 28, no. 7, pp. 1127–1137, 2010.

      [5] S. Yi, J. Heo, Y. Cho, and J. Hong, “PEACH: Power-efficient and adaptive clustering hierarchy protocol for wireless sensor networks,†Comput. Commun., vol. 30, no. 14–15, pp. 2842–2852, 2007.

      [6] W. Ke, O. Yangrui, J. Hong, Z. Heli, and L. Xi, “Energy aware hierarchical cluster-based routing protocol for WSNs,†J. China Univ. Posts Telecommun., vol. 23, no. 4, pp. 46–52, 2016.

      [7] D. Kumar, T. C. Aseri, and R. B. Patel, “EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks,†Comput. Commun., vol. 32, no. 4, pp. 662–667, 2009.

      [8] C. H. Lin and M. J. Tsai, “A Comment on ‘HEED: A Hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks,’†IEEE Trans. Mob. Comput., vol. 5, no. 10, pp. 1471–1472, 2006.

      [9] L. Zhao and Q. Liang, “Medium-contention based energy-efficient distributed clustering (MEDIC) for wireless sensor networks,†Int. J. Distrib. Sens. Networks, vol. 3, no. 4, pp. 347–369, 2007.

      [10] J. Vidal, “Forest Fires Feed ‘Brown Cloud’ of Pollution Choking Asia’s Cities,†Raw Story, 2014. [Online]. Available: https://www.rawstory.com/2014/03/indonesian-forest-fires-feed-brown-cloud-of-pollution-choking-asias-cities/. [Accessed: 22-Mar-2018].

      1. Whitmore, A. Agarwal, and L. Da Xu, “The Internet of Things—A survey of topics and trends,†Inf. Syst. Front., vol. 17, no. 2, pp. 261–274, 2015.

      [11] R. Jadhav and P. Rajalakshmi, “IoT enabled smart and secure power monitor,†TENSYMP 2017 - IEEE Int. Symp. Technol. Smart Cities, 2017.

      [12] Y. Sivakrishna et al., “Performance analysis of hybrid multiple radio IoT architecture for ubiquitous connectivity,†IEEE World Forum Internet Things, WF-IoT 2015 - Proc., pp. 198–203, 2015.

      [13] Y. Zhang, N. Cao, G. Chang, L. Zhou, X. Yu, and Y. Liu, “Wireless Sensor Routing Protocol Research Based on Forest Fire Protection,†IEEE Int. Conf. Comput. Sci. Eng. IEEE Int. Conf. Embed. Ubiquitous Comput., pp. 265–268, 2017.

      [14] Liyang Yu, Neng Wang, and Xiaoqiao Meng, “Real-Time Forest Fire Detection With Wireless Sensor Networks,†Proceedings. 2005 Int. Conf. Wirel. Commun. Netw. Mob. Comput. 2005., vol. 2, pp. 1214–1217, 2005.

      [15] L. F. Schrickte, C. Montez, R. De Oliveira, and A. R. Pinto, “Integration of wireless sensor networks to the internet of things using a 6LoWPAN gateway,†Brazilian Symp. Comput. Syst. Eng. SBESC, pp. 119–124, 2014.

      [16] C.Alcarez, P. Najera, and R. Roman, “Wireless Sensor Networks and the Internet of Things: Do We Need a Complete Integration?,†in International Workshop on the Security of the Internet of Things (SecIoT10), 2010, vol. 6, no. 11, p. 113.

      [17] R. Kumar, S. K. Panda, and D. C. Hoang, “Realisation of a cluster-based protocol using fuzzy C-means algorithm for wireless sensor networks,†IET Wirel. Sens. Syst., vol. 3, no. 3, pp. 163–171, 2013.

      [18] M. Bahrepour, N. Meratnia, P. Havinga, and P. S. Group, “Automatic Fire Detection : a Survey From,†Structure, 2007.

      [19] M. O. Oladimeji, M. G. Smiee, and S. D. Mieee, “A new approach for event detection using k-means clustering and neural networks,†Int. Jt. Conf. Neural Networks, pp. 1–5, 2015.

      [20] S. Zhang, H. Chen, Q. Zhu, and J. Jia, “A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks,†Sci. World J., vol. 2014, pp. 1–20, 2014.

      [21] I.Memon and T. Muntean, “Cluster-based Energy-efficient Composite Event Detection for Wireless Sensor Networks,†no. c, pp. 241–247, 2012.

      [22] C.A. Suescun and M. Cardei, “Event-based Clustering for Composite Event Detection in Wireless Sensors Networks,†in IEEE 35th International Performance Computing and Communications Conference (IPCCC), 2016.

      1. Waheed Khan, A. H. Abdullah, M. H. Anisi, and J. Iqbal Bangash, “A comprehensive study of data collection schemes using mobile sinks in wireless sensor networks,†Sensors (Switzerland), vol. 14, no. 2, pp. 2510–2548, 2014.

      [23] K.T. K. Tian, B. Z. B. Zhang, K. H. K. Huang, and J. M. J. Ma, “Data Gathering Protocols for Wireless Sensor Networks with Mobile Sinks,†GLOBECOM 2010, 2010 IEEE Glob. Telecommun. Conf., 2010.

      [24] J.Shen, A. Wang, C. Wang, P. C. K. Hung, and C. F. Lai, “An efficient centroid-based routing protocol for energy management in WSN-assisted IoT,†IEEE Access, vol. 5, pp. 18469–18479, 2017.

  • Downloads

  • How to Cite

    Vimal, V., & Ji Nigam, M. (2018). Forest Fire Prevention Using WSN Assisted IOT. International Journal of Engineering & Technology, 7(3.12), 1317-1321. https://doi.org/10.14419/ijet.v7i3.12.17877