Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 835–842 (2017)
Abstract. Triage on the battlefield is very challenging task. Life of the wounded soldiers depends on the efficiency of this process and there is still lack of supporting solutions. This paper presents a new approach for using Internet of Military Things in combat triage. We propose an ontological approach to evaluate soldiers health state and information framework which allows first responders and commanders to query the sensor network for needed information. Some simulation experiments were conducted, which results show that the proposed method can be applied in highly distributed and heterogeneous environment of the smart devices on the battlefield.
- P. P. Jayaraman, K. Gunasekera, F. Burstein, P. D. Haghighi, H. S. Soetikno, and A. Zaslavsky, “An ontology-based framework for real-time collection and visualization of mobile field triage data in mass gatherings,” in System Sciences (HICSS), 2013 46th Hawaii International Conference on, Jan 2013, pp. 146–155.
- N. Gilboy, P. Tanabe, D. Travers, and A. Rosenau, Emergency Severity Index (ESI) A Triage Tool for Emergency Department Care. AHRQ Publication No. 12-0014, November 2011.
- D. Meenach, “How civilian and combat triage differ,” Apr 2015. [Online]. Available: http://www.ems1.com/columnists/dean-meenach/ articles/2147174-how-civilian-and-combat-triage-differ/
- “Tactical combat casualty care.” [Online]. Available: http://www.naemt. org/education/tccc/tccc.aspx
- AJP-4.10(A) - Allied Joint Medical Support Doctrine. Nato Standardization Agency (NSA), March 2006.
- K. J. Devlin, Logic and information. Cambridge University Press, 1991.
- M. Dyk, A. Najgebauer, and D. Pierzchala, Augmented perception using Internet of Things. Oficyna Wydawnicza Politechniki Wroclawskiej, 2014, pp. 109–118.
- F. Baader, D. Calvanese, D. L. McGuinness, D. Nardi, and P. F. Patel-Schneider, “The Description Logic Handbook: Theory, Implementation, and Applications,” Description Logic Handbook, p. 622, 2003. [Online]. Available: http://portal.acm.org/citation.cfm?id=1215128
- B. Parsia and E. Sirin, “Pellet : An OWL DL Reasoner,” Artificial Intelligence, pp. 1 – 2, 2000.
- D. Reynolds, “OWL 2 RL in RIF (Second Edition),” W3C Working Group Note, no. February, pp. 1 – 128, 2013. [Online]. Available: http://www.w3.org/TR/2013/NOTE-rif-owl-rl-20130205/
- I. Horrocks and U. Sattler, “Ontology reasoning in the shoq(d) description logic,” in Proceedings of the 17th International Joint Conference on Artificial Intelligence - Volume 1, ser. IJCAI’01. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2001, pp. 199 – 204. [Online]. Available: http://dl.acm.org/citation.cfm?id=1642090. 1642117
- M. Dyk, D. Pierzchala, and A. Najgebauer, SenseSim: An Agent-Based and Discrete Event Simulator for Wireless Sensor Networks and the Internet of Things, 2015, pp. 345–350.
- M. Dyk, A. Najgebauer, and D. Pierzchala, Agent-Based M&S of Smart Sensors for Knowledge Acquisition Inside the Internet of Things and Sensor Networks. Springer International Publishing, 2015, pp. 224–236.
- B. Bennet, D. Homan, and C. Prakash, Observer Mechanics. A Formal Theory of Perception. Academic Press, 1989.
- “Omega engineering.” [Online]. Available: http://www.omega.co.uk/prodinfo/rtd.html
- S. Schmid and R. Wattenhofer, “Modeling sensor networks,” in Algorithms and Protocols for Wireless Sensor Networks, A. Boukerche, Ed. Wiley-IEEE Press, 2008, pp. 77–105.
- D. Bandyopadhyay and J. Sen, “Internet of things: Applications and challenges in technology and standardization,” Wireless Personal Communications, vol. 58, no. 1, pp. 49–69, 2011.
- C. Yuqiang, G. Jianlan, and H. Xuanzi, “The research of internet of things’ supporting technologies which face the logistics industry,” in Computational Intelligence and Security (CIS), 2010 International Conference on, Dec 2010, pp. 659–663.
- O. Logvinov. (2015) Standard for an architectural framework for the internet of things. [Online]. Available: http://grouper.ieee.org/groups/2413/Intro-to-IEEE-P2413.pdf/
- “Fist - future infantry soldier technology.” [Online]. Available: http://www.army-technology.com/projects/fist/
- “Idz (infanterist der zukunft) future soldier system.” [Online]. Available: http://www.army-technology.com/projects/idz/
- N. P. V. 11 January, 2012 Âů Industry Profiles, “Uhlan 21: The polish future soldier project.” [Online]. Available: http://www.sadefensejournal. com/wp/?p=912
- S. H. Regli, “C4isr-med battlefield medical demonstrations and experiments,” ILockheed Martin Advanced Technology Laboratories, 2012.
- T. Gao, C. Pesto, L. Selavo, Y. Chen, J. Ko, J. Lim, A. Terzis, A. Watt, J. Jeng, B.-R. Chen, and et al., “Wireless medical sensor networks in emergency response: Implementation and pilot results,” 2008 IEEE Conference on Technologies for Homeland Security, 2008.
- P. Shaltis and A. Reisner, “Rapidly deployable sensor design for enhanced noninvasive vital sign monitoring,” Jul. 1 2010, uS Patent App. 12/604,043. [Online]. Available: http://www.google.ch/patents/US20100168531
- “U.s. military develops blood-loss detection device that predicts shock.” [Online]. Available: http://www.meddeviceonline.com/doc/u-s-military-develops-finger-worn-device-that-detects-blood-loss-0001