Abstract
Wireless Sensor Networks plays an important role in creating and developing smart environments. It includes sensors geographically distributed which are interconnected and hence forming a wireless network. Under any hazardous and danger prone situations, these sensors can detect the event occurred and inform the nearest service zones (base station). In construction sites for fence monitoring, when an event occurs around the fence, the nearby sensor nodes detect the event and pass this information to the neighbouring nodes until it reaches the nearest base station (service zones) using Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. The events are classified using classification algorithm implemented at each sensor node. Since power consumption is an important criterion, the communication among the nodes should be energy efficient and the proposed system achieves around 13% less energy consumption. To simulate this environment, NETSIM simulation tool is used and the occurred events are classified into critical or non-critical events.
Similar content being viewed by others
References
Kaur, P., & Bhardwaj, V. (2015). Wireless sensor networks: A survey. International Journal of Advanced Research in Computer Science and Software Engineering, 5(5), 710–716.
Ambekar, D. V., Bhoi, A. D., & Kharadkar, R. D. (2014). A survey on sensors lifetime enhancement techniques in wireless sensor networks. International Journal of Computer Applications, 107(19), 22–25.
Anastasi, G., et al. (2009). Energy conservationin wireless sensor networks: A survey. Ad Hoc Networks, 7(3), 537–568.
Damaso, A., Rosa, N., & Maciel, P. (2017). Integrated evaluation of reliability and power consumption of wireless sensor networks. Sensors, 17(11), 1–27.
Oudani, Hassan, et al. (2017). Energy efficient in wireless sensor networks using cluster-based approach routing. International Journal of Sensors and Sensor Networks, 5, 6–12.
Elshrkawey, M., et al. (2017). An enhancement approach for reducing the energy consumption in wireless sensor networks. Journal of King Saud University—Computer and Information Sciences, 30(2), 259–267.
Anisi, M. H., et al. (2017). Energy harvesting and battery power based routing in wireless sensor networks. Wireless Networks, 23, 249–266.
Chen, Z., et al. (2017). Energy-efficient broadcasting scheme for smart industrial wireless sensor networks. Mobile Information Systems, 2017, 1–17.
Patil, S. A., & Mishra, P. (2017). Improved mobicast routing protocol to minimize energy consumption for underwater sensor networks. International Journal of Research in Science & Engineering, 3, 197–204.
Rouissi, N., & Gharsellaoui, H. (2017). Improved hybrid LEACH based approach for preserving secured integrity in wireless sensor networks. Procedia Computer Science, 112, 1429–1438.
Rubino, G., & Tuffin, B. (2009). Rare event simulation using Monte Carlo methods. Hoboken: Wiley.
Zhu, Y., et al. (2012). Optimizing event detection in low duty-cycled sensor networks. Wireless Networks, 18(3), 235–241.
Das, S. N., & Misra, S. (2015). Event-driven probabilistic topology management in sparse wireless sensor network. Wireless Sensor Systems, 5(4), 210–217.
Gu, L., et al. (2005). Lightweight detection and classification for wireless sensor networks in realistic environments. In Proceedings of the 3rd International Conference on Embedded networked sensor systems (pp. 205–217).
Liu, C., et al. (2006). Random coverage with guaranteed connectivity: Joint scheduling for wireless sensor networks. Transactions on Parallel and Distributed Systems, 17(6), 562–575.
Cheng, M.-Y., et al. (2013) Event-driven energy-harvesting wireless sensor network for structural health monitoring. In Proceedings of the 38th Annual IEEE Conference on Local Computer Networks.
Kansal, A., et al. (2007). Power management in energy harvesting sensor networks. ACM Transactions on Embedded Computing Systems 6, 32–38.
Dziengel, N., Seiffert, M., Ziegert, M., et al. (2015). Deployment and evaluation of a fully applicable distributed event detection system in Wireless Sensor Networks. Ad Hoc Networks, 37, 160–182.
Waelchli, P. et.al. (2007). Distributed event localization and tracking with wireless sensors. In Proceedings of the 5th International Conference on Wired/WirelessInternet Communications (WWIC’07), Coimbra, Portugal (247–258).
Ko, Ja Won, & Choi, Yoon-Hwa. (2011). A grid-based distributed event detection schemefor wireless sensor networks. PubMed Central, 11(11), 10048–10062.
Shang, Fengjun. (2011). An energy-efficient communication protocol for wireless sensor networks. Journal of Networks, 6(7), 999–1008.
Mahimkar, A., & Rappaport, T. S. (2014). A secure data aggregation and verification protocol for sensor networks. International Journal of Advanced Research in Computer Science and Software Engineering, 4(5), 2175–2179.
Heinzelman, W. R. et al. (2000). Energy-efficient communication protocol for wireless microsensor networks.In Proceedings in the Hawaii international conference on system sciences (pp. 1–10).
Acknowledgements
The authors wish to express their sincere thanks to the Department of Science & Technology, New Delhi, India (Project - ID: SR/FST/ETI - 371/2014) and SASTRA Deemed University, Thanjavur, India for extending the infrastructural support to carry out this work
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Sundararajan, R., Arumugam, U. Event Detection and Information Passing Using LEACH Protocol in Wireless Sensor Networks. Wireless Pers Commun 101, 1703–1714 (2018). https://doi.org/10.1007/s11277-018-5785-3
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-018-5785-3