Abstract
Wireless sensor network (WSN) technology is a new and modern technology that has already been implemented in a wide variety of scenarios, and its applications are growing every day. As models for mobile wireless networking become more popular, their appeal comes from the fact that they can operate autonomously without the need for an existing infrastructure. This great benefit can be seen even more clearly when looking at the many problems that the use of WSN technology solves. The applications of WSN technology have been classified into four main categories: environmental monitoring, health care, security, and additional applications. After we review the different WSN cases in these fields, we identify three of the most demanding and most representative scenarios to demonstrate the advantages of WSN technology and its boundless potential in today’s world. The technical analysis defines the use cases for multiple-target tracking, surveillance and vital sign, and environmental critical monitoring and specifies the user requirements and technical description of the network infrastructure and overall system that should be designed to support all three application scenarios.
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References
Akyildiz IF, Stuntebeck EP (2006) Wireless underground sensor networks: Research challenges. Ad Hoc Netw 4(6):669–86.
Anderson E, Girard T, Ottavianelli G (2003) A micro-satellite and in situ ground-sensor network for combating malaria. In Proceedings of the 54th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law.
Baumgartner K, Robert S (2006) Architecture of a scalable wireless sensor network for pollution monitoring. In Proceedings of the 3rd European Workshop on Wireless Sensor Networks.
Beckwith R, Teibel D, Bowen P (2004) Report from the field: Results from an agricultural wireless sensor network. In Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks, pp. 471–478.
Biagioni ES, Bridges KW (2002) The application of remote sensor technology to assist the recovery of rare and endangered species. Int J High Perform Comp Appl 16(3).
Bruno MS, Blumberg AF (2006) The Stevens Integrated Maritime Surveillance and Forecast System: Expansion and enhancement. Stevens Institute of Technology. ONR Grant N00014-03-1-0633.
Chang E, Wang YF, Zhao F (Conference chairs) (2004) Proceedings of the 2nd ACM International Workshop on Video Surveillance & Sensor Networks, ACM, New York.
Coleri S, Cheung SY, Varaiya P (2004) Sensor networks for monitoring traffic. In Proceedings of the 42nd Annual Allerton Conference on Commuinication, Control, and Computing.
Conant R (2006) Wireless sensor networks: Driving the new industrial revolution. Indus Embed Syst (Spring/Summer).
Crossbow Technology Inc. (2007) MICA2 868, 916 MHz. http://www.xbow.com/Products/productsdetails.aspx?sid=72. Accessed December 2007.
Defense Advanced Research Projects Agency, Joint Program Steering Group Arlington, Virginia, NISE East Electronic Security Systems Engineering Division, North Charleston, South Carolina (1997) Perimeter Security Sensor Technologies Handbook (online manual). http://www.nlectc.org/perimetr/start.htm. Accessed January 2007.
Evans J, Raychaudhuri D, Paul S (2006) Overview of wireless, mobile and sensor networks in GENI. GENI Design Document 06-14, Wireless Working Group.
Gao T, Greenspan D, Welsh M, et al. (2005) Vital signs monitoring and patient tracking over a wireless network. In Proceedings of the 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005), pp. 102–105.
HEARTS R&D Project. Health Early Alarm Recognition and Telemonitoring System. http://heartsproject.datamat.it/hearts. Accessed January 2007.
IBM Corporation (2005) Personal Care Connect Mobile Health Monitoring Solution. http://www-03.ibm.com/industries/healthcare/doc/content/bin/Personal_Care_Connect_12_05_1_OnlinePDF.pdf. Accessed January 2007.
Kung HY, Hua JS, Chen CT (2006) Drought forecast model and framework using wireless sensor networks. J Infor Sci Eng 22(4):751–69.
Lo B, Thiemjarus S, King R, et al. (2005) Body sensor network—A wireless sensor platform for pervasive healthcare monitoring. In Proceedings of the 3rd International Conference on Pervasive Computing.
Low KS, Win WN, Er MJ (2005) Wireless sensor networks for industrial environments. In Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and the International Conference on Intelligent Agents, Web Technologies and Internet Commerce, pp. 271–276.
Magal Security Systems Ltd. (2002) Barricade 500—Vibration detection system: Advanced outdoor vibration detection system. http://www.magal-ssl.com/products/?pid=19. Accessed February 2007.
Mainwaring A, Culler D, Polastre J, et al. (2002) Wireless sensor networks for habitat monitoring. In Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications (WSNA '02), pp. 88–97.
Center for Future Health, University of Rochester (2005) Smart Medical Home Research Laboratory. http://www.futurehealth.rochester.edu/smart_home/. Accessed January 2007.
MobiHealth B.V. (2007) MobiHealth Project. http://www.mobihealth.org. Accessed December 2007.
Pakzad SN, Kim S, Fenves GL, et al. (2005) Multi-purpose wireless accelerometers for civil infrastructure monitoring. In Proceedings of the 5th International Workshop on Structural Health Monitoring (IWSHM 2005).
Pilone D (2006) UML 2.0 Pocket Reference, O'Reilly Media, Inc., Sebastopol, CA.
Roark RC, Van Wie DG (2003) A new ALERT protocol: Feasibility study of a new air interface and physical layer packet definition for the ALERT user community. Blue Water Design, LLC.
Sanders JM (2000) Sensing the subtleties of everyday life. Res Horiz 17(2).
Sazonov E, Janoyan K, Jhac R (2004) Wireless intelligent sensor network for autonomous structural health monitoring. Proc SPIE 5384:305–14.
Sensicast, Inc. (2008) SENSICAST. http://www.sensicast.com/. Accessed January 2008.
Shea DA, Lister SA (2003) The BioWatch Program: Detection of Bioterrorism. Congressional Research Service, Library of Congress, Washington, DC. Report No. RL32152.
Van Laerhoven K, Lo BPL, Ng JWP, et al. (2004) Proceedings of the 3rd International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications (UbiHealth 2004).
Zhao F, Guibas L (2004) Wireless Sensor Networks: An Information Processing Approach. Morgan Kaufmann, San Francisco.
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García-Hernando, AB., Martínez-Ortega, JF., López-Navarro, JM., Prayati, A., Redondo-López, L. (2008). WSN Application Scenarios. In: García-Hernando , AB., Martínez-Ortega, JF., López-Navarro, JM., Prayati, A., Redondo-López, L. (eds) Problem Solving for Wireless Sensor Networks. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-84800-203-6_8
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DOI: https://doi.org/10.1007/978-1-84800-203-6_8
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