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A Decentralized Damage Detection System for Wireless Sensor and Actuator Networks

Mili Verma, Himani Garg. Published in Wireless.

Communications on Applied Electronics
Year of Publication: 2018
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Mili Verma, Himani Garg

Mili Verma and Himani Garg. A Decentralized Damage Detection System for Wireless Sensor and Actuator Networks. Communications on Applied Electronics 7(20):15-21, September 2018. BibTeX

	author = {Mili Verma and Himani Garg},
	title = {A Decentralized Damage Detection System for Wireless Sensor and Actuator Networks},
	journal = {Communications on Applied Electronics},
	issue_date = {September 2018},
	volume = {7},
	number = {20},
	month = {Sep},
	year = {2018},
	issn = {2394-4714},
	pages = {15-21},
	numpages = {7},
	url = {},
	doi = {10.5120/cae2018652786},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The miraculous capabilities of observing the physical world then processing the data, making decisions and performing appropriate actions of wireless sensor and actuator networks (WSAN) enable these networks to provide the several service oriented applications, such as environmental monitoring, industrial applications, security and surveillance, entertainment, smart building and healthcare(health monitoring and medical diagnostics). In such applications, our monitoring area empowered with wireless smart devices, are able to self-monitor and autonomously respond to situations using computational intelligence. This research focuses on developing a module to be setup in the hospitals to monitor the damage detection, which results delay on doctor and patient performances and also monitor WSAN sensor performances. This research work presents a decentralized algorithm for detecting damage by using a WSAN. Our algorithm makes use of cooperative information fusion for calculating a damage coefficient. Before the algorithm starts the network must be already deployed on the structure to be monitored. We found that our collaborative and information fusion-based approach ensures the accuracy of our algorithm . This is tolerable for maximum 100 nodes or less in the WSAN, operating system and protocols can last as long as 468 days.


  1. Citation information: DOI10.1109/TC.2015.2479608, IEEE Transactions on Computers.
  2. R. Giffinger, C. Fertner, H. Kramar, R. Kalasek, “Smart Cities: Ranking of European Medium-Sized Cities,” Centre of Regional Science, Vienna UT, Vienna, Austria, Tech. Rep., Oct. 2007.
  3. L. Schor, P. Sommer, R. Wattenhofer, “Towards a zero-configuration wireless sensor network architecture for smart buildings,” In Proc. SenSys09, 2009, pp. 31-36.
  4. I. Akyildiz, I. Kasimoglu, “Wireless sensor and actor networks: Research challenges,” Ad Hoc Networks, vol. 2, no. 4, pp. 351-367, Oct. 2004.
  5. G. Hackmann, F. Sun, N. Castaneda, C. Lu, S. Dyke, “A holistic approach to decentralized structural damage localization using wireless sensor networks,” Computer Communications, vol. 36, no. 1, pp. 29-41, Dec. 2012.
  6. L.Gu and J.A. Stankovic, “t-kernel: Providing Reliable OS Support for Wireless Sensor Networks,” Proc. ACM Conf. on Embedded Networked Sensor Systems (Sensys), 2006, pp. 1-14.
  7. P. Kamat et al., “Enhancing Source Location Privacy in Sensor Network Routing.” Proc. Int’l Conf. Distributed Computing Systems, 2005, pp. 559-608
  8. R. Verdone et al., Wireless Sensor and Actuator Networks: Technologies, Analysis and Design, Academic Press, Jan. 2008.
  9. A. Srinivasan, J.Teitelbaum, J. Wu, “DRBTS: Distributed Reputation-Based Beacon Trust System,” 2nd IEEE Int’l Symp. Dependable, Autonomic, and Secure Computing (DASC), 2006, pp. 277-283.
  10. N. Ramanathan et al., “Sympathy for the Sensor Network Debugger,” Proc. the 3rd ACM Int’l Conf. Embedded Networked Sensor Systems (Sensys), 2005, pp. 255-267.
  11. H. Oliveira, A.Boukerche, E.Nakamura, A. Loureiro, ”An efficient directed localization recursion protocol for wireless sensor networks,” IEEE Trans. Computers, vol. 58, no. 5, pp. 677-691, Dez. 2008, doi: 10.1109/TC.2008.221.
  12. R. Kay and F. Mattern, "The Design Space of Wireless Sensor Networks" IEEE Wireless Communications Vol.11.No.6 (2004) pp 54–61.
  13. A. Tiwari, P. Ballal and F.L. Lewis, “Energy efficient wireless sensor network design and implementation for condition based maintenance” ACM Transactions on Sensor Networks (TOSN) Vol.3.No.1 (2007) pp 17.
  14. Aminian M, Naji HR (2013) A Hospital Healthcare Monitoring System Using Wireless Sensor Networks. J Health Med Inform 4:121. doi: 10.4172/2157-7420.1000121
  15. D.Malan, T.R.F.Fulford-Jones, M.Welsh,S.Moulton, CodeBlue: an ad-hoc sensor network infrastructure for emergency medical care, in: Proceedings of the Mobi-Sys 2004 Workshop on Applications of MobileEmbedded Systems (WAMES2004), Boston,MA, June,2004, pp.12–14
  16. N. Wang, M. H. Wang and N. Q. Zhang, "Wireless sensors in agriculture and food industry: Recent development and future perspective" Computers and electronics in agriculture Vol.50.No.1 (2006) pp 114
  17. M.C. Domingo and R. Prior, "Energy analysis of routing protocols for underwater wireless sensor networks" Computer Communications. Vol.31.No.6 (2008) pp 12271238.
  18. AJG Sanchez, F. GarciaSanchez, F. Losilla, P. Kulakowski, J. GarciaHaro, A. Rodríguez, JV LópezBao and F. Palomares Article:Wireless Sensor Network Deployment for Monitoring Wildlife Passages Sensors, Vol.10.No.8 (2010) pp 72367262.
  19. E. C.-H. Ngai, M. R. Lyu, and J. Liu, "A real-time communication framework for wireless sensor-actuator networks," in Proc. of the IEEE Aerospace Conference, Big Sky, Montana, U.S., Mar 2006.
  20. G.Hackmann, F. Sun, N. Castaneda, C. Lu, S. Dyke, “A holistic approach to decentralized structural damage localization using wireless sensor networks,” Computer Communications, vol. 36, no. 1, pp. 29-41, Dec. 2012.
  21. R.Klempous, J. Nikodem, L. Radosz, N. Raus, “Byzantine Algorithms in Wireless Sensors Network,” in Proc. ICIA, 2006, pp. 319–324.
  22. E. Nakamura, A. Loureiro, A. Frery, “Information fusion for wireless sensor networks: Methods, models, and classifications,” ACM Comput. Surv., vol. 39, no. 3, pp. 9/1-9/55, Sep. 2007.


Wireless Sensor and Actuator, Decentralize Algorithm, Information Fusion, Hospital Monitoring.