Journal Home > Volume 22 , Issue 4

Wireless sensors are deployed widely to monitor space, emergent events, and disasters. Collected real-time sensory data are precious for completing rescue missions quickly and efficiently. Detecting isolate safe areas is significant for various applications of event and disaster monitoring since valuable real-time information can be provided for the rescue crew to save persons who are trapped in isolate safe areas. We propose a centralized method to detect isolate safe areas via discovering holes in event areas. In order to shorten the detection delay, a distributed isolate safe area detection method is studied. The distributed method detects isolate safe areas during the process of event detection. Moreover, detecting isolate safe areas in a building is addressed particularly since the regular detecting method is not applicable. Our simulation results show that the distributed method can detect all isolate safe areas in an acceptable short delay.


menu
Abstract
Full text
Outline
About this article

Detecting Isolate Safe Areas in Wireless Sensor Monitoring Systems

Show Author's information Chunyu AiFrank Haizhon LiKejia Zhang( )
Division of Mathematics & Computer Science, University of South Carolina Upstate, Spartanburg 29303, USA.
College of Computer Science & Technology, Harbin Engineering University, Harbin 150001, China.

Abstract

Wireless sensors are deployed widely to monitor space, emergent events, and disasters. Collected real-time sensory data are precious for completing rescue missions quickly and efficiently. Detecting isolate safe areas is significant for various applications of event and disaster monitoring since valuable real-time information can be provided for the rescue crew to save persons who are trapped in isolate safe areas. We propose a centralized method to detect isolate safe areas via discovering holes in event areas. In order to shorten the detection delay, a distributed isolate safe area detection method is studied. The distributed method detects isolate safe areas during the process of event detection. Moreover, detecting isolate safe areas in a building is addressed particularly since the regular detecting method is not applicable. Our simulation results show that the distributed method can detect all isolate safe areas in an acceptable short delay.

Keywords: sensor networks, isolate safe area, area detection, rescue

References(24)

[1]
Christin D., Reinhardt A., Mogre P. S., and Steinmetz R., Wireless sensor networks and the internet of things: Selected challenges, in Proceedings of the 8th GI/ITG KuVS Fachgespräch Drahtlose Sensornetze, 2009, pp. 31-34.
[2]
The role of sensor fusion in the internet of things. http://www.mouser.com/applications/sensor-fusion-iot/, Accessed on Nov. 2, 2016.
[3]
Gelenbe E. and Wu F.-J., Future research on cyber-physical emergency management systems, Future Internet, vol. 5, no. 3, pp. 336-354, 2013.
[4]
Liu J., Shih C.-S., and Chu E.-H., Cyberphysical elements of disaster-prepared smart environments, Computer, vol. 46, no. 2, pp. 69-75, 2013.
[5]
Wu F.-J., Kao Y.-F., and Tseng Y.-C., From wireless sensor networks towards cyber physical systems, Pervasive and Mobile Computing, vol. 7, no. 4, pp. 397-413, 2011.
[6]
Arampatzis T., Lygeros J., and Manesis S., A survey of applications of wireless sensors and wireless sensor networks, in Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation, 2005, pp. 719-724.
[7]
Ding M., Chen D., Xing K., and Cheng X., Localized fault-tolerant event boundary detection in sensor networks, in INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE, 2005, pp. 902-913.
[8]
Cai Z., Ji S., and Li J., Data caching-based query processing in multi-sink wireless sensor networks, IJSNet, vol. 11, no. 2, pp. 109-125, 2012.
[9]
Wu T. and Cheng Q., Distributed dynamic event region detection in wireless sensor networks, in Prognostics and Health Management (PHM), 2011 IEEE Conference on, 2011, pp. 1-8.
[10]
Li J., Cheng S., Gao H., and Cai Z., Approximate physical world reconstruction algorithms in sensor networks, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 12, pp. 3099-3110, 2014.
[11]
Ja Won Ko Y.-H. C., A grid-based distributed event detection scheme for wireless sensor networks, Sensors, vol. 11, no. 11, pp. 10048-10062, 2011.
[12]
Cheng S., Cai Z., and Li J., Curve query processing in wireless sensor networks, IEEE Transactions on Vehicular Technology, vol. 64, no. 11, pp. 5198-5209, 2015.
[13]
Cheng S., Cai Z., Li J., and Gao H., Extracting kernel dataset from big sensory data in wireless sensor networks, IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 4, pp. 813-827, 2017.
[14]
Zheng X., Cai Z., Li J., and Gao H., A study on application-aware scheduling in wireless networks, IEEE Transactions on Mobile Computing, .
[15]
Wang X., Zhao X., Liang Z., and Tan M., Deploying a wireless sensor network on the coal mines, in Networking, Sensing and Control, 2007 IEEE International Conference on, 2007, pp. 324-328.
DOI
[16]
Yang W. and Huang Y., Wireless sensor network based coal mine wireless and integrated security monitoring information system, in Proceedings of the Sixth International Conference on Networking, Washington, DC, USA, 2007, pp. 22-28.
[17]
Li Z. and Liu Y., Underground structure monitoring with wireless sensor networks, in Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on, 2007, pp. 69-78.
DOI
[18]
Khadivi A. and Hasler M., Fire detection and localization using wireless sensor networks, in Sensor Applications, Experimentation, and Logistics, Komninos N., ed. Springer Berlin Heidelberg, 2010, vol. 29, pp. 16-26.
DOI
[19]
Sha K., Shi W., and Watkins O., Using wireless sensor networks for fire rescue applications: Requirements and challenges, in Electro/information Technology, 2006 IEEE International Conference on, 2006, pp. 239-244.
DOI
[20]
Ma X., Huang Q., Liu Q., Shu X., and Zhao Q., Dynamic monitoring of building fires based on internet of things (in Chinese), Journal of Tsinghua University (Science and Technology), vol. 52, no. 11, pp. 1584-1590, 2012.
[21]
Xue W., Luo Q., Chen L., and Liu Y., Contour map matching for event detection in sensor networks, in SIGMOD ’06: Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data, New York, NY, USA, 2006, pp. 145-156.
[22]
Ai C., Guo L., Cai Z., and Li Y., Processing area queries in wireless sensor networks, in Mobile Ad-hoc and Sensor Networks, 2009. MSN ’09. 5th International Conference on, 2009, pp. 1-8.
DOI
[23]
Tinyos faq, Available: http://tinyos.stanford.edu/tinyos-wiki/index.php/FAQ, Accessed on Nov. 2, 2016.
[24]
Perkins C. E. and Bhagwat P., Highly dynamic destination-sequenced distance-vector routing (dsdv) for mobile computers, SIGCOMM Comput. Commun. Rev., vol. 24, no. 4, pp. 234-244, 1994.
Publication history
Copyright
Rights and permissions

Publication history

Received: 26 November 2016
Revised: 25 January 2017
Accepted: 12 February 2017
Published: 20 July 2017
Issue date: August 2017

Copyright

© The author(s) 2017

Rights and permissions

Return