Bibliography
[1] “Autonomous networks research group. a wireless sensor networks bibliogra-
phy..” http://ceng.usc.edu/anrg/SensorNetBib.html.
[2] C. Suh and Y.-B. Ko, “Design and implementation of intelligent home con-
trol systems based on active sensor networks,” Consumer Electronics, IEEE
Transactions on, vol. 54, no. 3, pp. 1177–1184, 2008.
[3] B. Chen and J. Wang, “Design of a multi-modal and high computation
power wireless sensor node for structural health monitoring,” in Mechtronic
and Embedded Systems and Applications, 2008. MESA 2008. IEEE/ASME
International Conference on, pp. 420–425, 2008.
[4] B.-K. Kim, S.-H. Hong, Y.-S. Jeong, and D.-S. Eom, “The study of applying
sensor networks to a smart home,” in Networked Computing and Advanced
Information Management, 2008. NCM ’08. Fourth International Conference
on, vol. 1, pp. 676–681, 2008.
[5] Y. Yang, Wireless Sensor Data Processing for Onsite Emergency Response.
PhD thesis, University of Notre Dame, June 2010.
[6] S. Gamwarige and E. C. Kulasekere, “An energy efficient distributed cluster-
ing algorithm for ad-hoc deployed wireless sensor networks in building mon-
itoring applications,” Electronic Journal of Structural Engineering (eJSE)
Special Issue: Sensor Network on Building Monitoring: from Theory to Real
Application, pp. 11–27, 2009.
[7] L. Gui, T. Val, and A. Wei, “Improving localization accuracy using selec-
tive 3-anchor dv-hop algorithm,” in Vehicular Technology Conference (VTC
Fall), 2011 IEEE, pp. 1–5, 2011.
89
[8] K. Premaratne, D. A. Dewasurendra, and P. H. Bauer, “Evidence combi-
nation in an environment with heterogeneous sources,” IEEE Trans.Syst.,
vol. 37, no. 3, pp. 298–309, 2007.
[9] P. Varshney, Distributed Detection and Data Fusion. New York: Springer-
Verlag, 1997.
[10] D. L. Hall and J. Llinas, Handbook of Multisensor Data Fusion:Theory and
Practice. The Electrical Engineering and Applied Signal Processing Series,
second ed., 2008.
[11] H. Stark and J. Woods, Probability and Random Processes with Applications
to Signal Processing. Upper Saddle River, NJ: Prentice-Hall, 3 ed., 2001.
[12] B. Rao and H. F. Durrant-Whyte, “Fully decentralised algorithm for multi-
sensor kalman filtering,” Control Theory and Applications, IEE Proceedings
D, vol. 138, no. 5, pp. 413–420, 1991.
[13] Y. Zhang, N. Ansari, and W. Su, “Multi-sensor signal fusion based modu-
lation classification by using wireless sensor networks,” in Communications
(ICC), 2011 IEEE International Conference on, pp. 1–5, June 2011.
[14] X. Sheng, Y.-H. Hu, and P. Ramanathan, “Distributed particle filter with
gmm approximation for multiple targets localization and tracking in wireless
sensor network,” in Information Processing in Sensor Networks, 2005. IPSN
2005. Fourth International Symposium on, pp. 181–188, 2005.
[15] A. Dhital, P. Closas, and C. Fernandez-Prades, “Bayesian filters for indoor
localization using wireless sensor networks,” in Satellite Navigation Tech-
nologies and European Workshop on GNSS Signals and Signal Processing
(NAVITEC), 2010 5th ESA Workshop on, pp. 1–7, 2010.
[16] E. C. Kulasekere, K. Premaratne, D. A. Dewasurendra, M.-L. Shyu, and
P. H. Bauer, “Conditioning and updating evidence,” Int. J. of Approx. Rea-
soning, vol. 36, no. 1, pp. 75–108, 2004.
[17] D. A. Dewasurendra, P. H. Bauer, and K. Premaratne, “Evidence filtering,”
Signal Processing, IEEE Transactions on, vol. 55, no. 12, pp. 5796–5805,
2007.
90
[18] D. Dewasurendra, P. Bauer, and K. Premaratne, “Distributed evidence fil-
tering: the recursive case,” in Circuits and Systems, 2006. ISCAS 2006.
Proceedings. 2006 IEEE International Symposium on, pp. 4 pp.–, 2006.
[19] W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient
communication protocol for wireless microsensor networks,” Prceedings of
the 33rd Hawaii International Conference on System Sciences (HICSS ’00),
January 2000.
[20] G. Smaragdakis, I. Matta, and A. Bestavros, “Sep: A stable election proto-
col for clustered heterogeneous wireless sensor networks,” Proceedings of the
International Workshop on SANPA, (Boston), pp. 1–11, August 2004.
[21] O. Younis and S. Fahmy, “Heed: A hybrid, energy-efficient, distributed clus-
tering approach for ad-hoc sensor networks,” IEEE Transactions on Mobile
Computing, vol. 3, pp. 366–379, October-December 2004.
[22] Y. Wang, Q. Zhao, and D. Zheng, “Energy-driven adaptive clustering
data collection protocol in wireless sensor networks,” in Proceedings of the
2004 International Conference on Intelligent Mechatronics and Automation
(ICIMA2004), (UESTC, Chengdu, China), pp. 599–604, August 2004.
[23] Y. Yanning, “Opportunities for wsn for facilitating fire emergency response,”
in IEEE International Conference on Information and Automation for Sus-
tainability, pp. 81–86, 2010.
[24] K. Lorincz, J. David, Malan, R. F. Thaddeus, J. Fulford, A. Nawoj,
A. Clavel, V. Shnayder, G. Mainland, and M.Welsh, “Sensor networks for
emergency response: Challenges and opportunities,” Pervasive Computing,
3(4), pp. 16–23, 2004.
[25] L. Yang, R. Prassana, and K. Malcolm, “On-site information systems design
for emergency first responders,” Journal of Information Technology Theory
and Application (JITTA), pp. 5–27, 2010.
[26] L. Shen, A. Zhan, X. Wu, P. Yang, and G. Chen, “Efficient emergency rescue
navigation with wireless sensor networks,” in Journal of Information Science
and Engineering, vol. 27, 2011.
91
[27] G. Shafer and J. Llinas, A Mathematical Theory of Evidence. NJ: Princeton
Univ. Press, 1976.
[28] E. C. Kulasekere, Representation of evidence from bodies with access to par-
tial knowledge. PhD thesis, University of Miami, August 2001.
[29] R. Fagin and J. Halpern, “A new approach to updating beliefs,” in Uncer-
tainty in Artificial Intelligence, P. Bonissone, M. Henrion, L.Kanal, and J.
Lemmer, Eds. New York: Elsevier, p. 347374, 1991.
[30] D. A. Dewasurendra, P. H. Bauer, and K.Premaratne, “Distributed evidence
filtering in networked embedded systems,” in Networked Embedded Sensing
and Control, vol. 331, 2006.
[31] D. A. Dewasurendra and P. H. Bauer, “A novel approach to grid sensor
networks,” in Electronics, Circuits and Systems, 2008. ICECS 2008. 15th
IEEE International Conference on, pp. 1191–1194, August 2008.
[32] S. Blackman and R. Popoli, Design and Analyis of Modern Tracking Systems.
Norwood, MA: Artech House, 1999.
[33] M. Bahrepour, B. J. Zwaag, N. Meratnia, and P.Havinga, “Fire data anal-
ysis and feature reduction using computational intelligence methods,” in
Second KES International Symposium on Intelligent Decision Technologies,
July 2010.
[34] A. Guanathillake, D. M. Weeraddana, K. S. Walgama, and K. Samarasinghe,
“Self-organization of wireless sensor networks based on severity of an emer-
gency environment,” in Industrial and Information Systems (ICIIS), 2013
8th IEEE International Conference on, pp. 483–488, Dec 2013.
[35] K. Sentz and S. Ferson, “Combination of evidence in dempster-shafer the-
ory,” tech. rep., 2002.
[36] E. Fornasini and G. Marchesini, “State space realization theory of twodi-
mensional filters,” IEEE Transactions on Automatic Control, vol. AC-21,
p. 484492, 1976.
[37] T. Malakorn, Multidimensional linear systems and robust control. PhD the-
sis, Virginia Tech, Blacksburg, VA, 2003.
92
[38] G. P. Forney, “Smokeview (Version 5), A Tool for Visualizing Fire Dynamics
Simulation Data, Volume II: Technical Reference Guide,” NIST Special Pub-
lication 1017-2, National Institute of Standards and Technology, Gaithers-
burg, Maryland, May 2009.
[39] D. M. Weeraddana, K.S.Walgama, and E.C.Kulasekere, “Dempster-shafer
information filtering in multi-modality wireless sensor networks,” World
Academy of Science, Engineering and Technology, vol. 79, pp. 644–651, 2013.
[40] S. Gayan, D. M.Weeraddana, and A. Gunathillake, “Sensor network based
adaptable system architecture for emergency situations,” in Lecture Notes
on Information Theory, vol. 2, No 1, pp. 85–91, March 2014.
[41] D. Weeraddana, A. Gunathillake, and S. Gayan, “Sensor network based
emergency response and navigation support architecture,” International
Journal of Electrical, Electronic Science and Engineering, vol. 7, no. 7, pp. 2
– 7, 2013.
[42] J. Chang, “An energy-aware cluster-based routing algorithm for wireless sen-
sor networks,” Journal of Information Science and Engineering 26, pp. 2159–
2171, 2010.
[43] A. Gunathillake and K. Samarasinghe, “Energy efcient clustering algo-
rithm with global & local re-clustering for wireless sensor networks,” World
Academy of Science, Engineering and Technology, vol. 79, pp. 45–52, 2013.
[44] C. Li, G. Y. Chen, and W. J, “An energy-efficient unequal clustering mecha-
nism for wireless sensor networks,” IEEE International Conference on Mobile
Adhoc and Sensor Systems Conference, p. 604, 2005.
[45] J. YU, Y. QI, and G. WANG, “An energy-driven unequal clustering protocol
for heterogeneous wireless sensor networks,” Journal of Control Theory and
Applications, pp. 133–139, 2011.
[46] E.Ever, R. Luchmun, L. Mostarda, A. Navarra, and P. Shah, “Uheed - an
unequal clustering algorithm for wireless sensor networks,” Sensornets 2012,
Feb 2012.
[47] L. Y. Y. Yang, R. Prasanna, “Opportunities for wsn for facilitating fire
emergency response,” Proceedings of ICIAfS 10, pp. 81–86, 2010.
93
[48] X. Chen and B. Zhang, “Improved dv-hop node localization algorithm in
wireless sensor networks,” in International Journal of Distributed Sensor
Networks, 2012.
[49] C. Frank and K. Romer, “Algorithms for generic role assignment in wireless
sensor networks,” ACM International Conference on Embedded Networked
Sensor Systems (Sensys) 2005, November 2005.
[50] A. Meissner, T. Luckenbach, T. Risse, T. Kirste, and H. Kirchner, “A design
challenges for an integrated disaster management communication and infor-
mation system,” Proceedings of the 1st IEEE Workshop on Disaster Recovery
Networks (DIREN 2002), June 2002.
[51] M. Chammem, S. Berrahal, and N. Boudriga, “Smart navigation for fire-
fighters in hazardous environments: A ban-based approach,” ICPCA-SWS,
pp. 82–96, 2013.
[52] H. Koohi, E. Nadernejad, and M. Fathi, “Employing sensor network to guide
firefighters in dangerous area,” International Journal of Engineering, vol. 32,
pp. 191–202, 2010.
[53] Y.-C. Tseng, M.-S. Pan, and Y.-Y. Tsai, “Wireless sensor networks for emer-
gency navigation,” Computer, vol. 39, no. 7, pp. 55–62, 2006.
[54] S. Acharya and K. Moshe, “Evidence combination for hard and soft sensor
data fusion,” in Information Fusion (FUSION), 2011 Proceedings of the 14th
International Conference on, pp. 1–8, 2011.
[55] K. Premaratne, M. N. Murthi, J. Zhang, M. Scheutz, and P. H. Bauer,
“A dempster-shafer theoretic conditional approach to evidence updating for
fusion of hard and soft data,” in Information Fusion, 2009. FUSION ’09.
12th International Conference on, pp. 2122–2129, 2009.
94