INTERNET OF THINGS-BASED MULTISENSOR NON-INVASIVE TECHNOLOGY FOR ROBUSMONITORING OF TUNNELING INFRASTRUCTURE

Authors

  • Ankush Rai School of Computer Science & Engineering, VIT University, Chennai, Tamil Nadu, India.
  • Jagadeesh Kannan R School of Computer Science & Engineering, VIT University, Chennai, Tamil Nadu, India.

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.19745

Keywords:

Internet of things, Tunnel infrastructure, Data fusion

Abstract

Tunneling is primarily one of the most expensive and uncertain endeavors in civil engineering. Hence, it is essential to explicitly quantify to consider all factors which in aid contribute towards uncertainty in terms of cost, time and resources. This Research work provides major IoT based computational and analytical tools for automating the non-invasive structure monitoring methods to provide decision aids in tunneling. Such, decision aids technologies for tunneling process comprises of multisensory networks for monitoring of structure, smart video cameras for geo-traffic monitoring and supported excavation during accidents, LIDAR technology for mapping deformations in the structures. The ongoing research will reduce uncertainties and information can be used to monitoring future risks. This work extend IoT based multisensory network system to achieve complex tunnel systems in order to develop a framework which will allow the experience gained from past projects to update predictions about cost of construction in conjunction with time as the construction takes place.

 

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References

Ashton K. Internet of things. RFID J 2009;22(7):97-114. Available from: http://www.rfidjournal.com/articles/view?4986.

van Kranenburg R. The Internet of Things: A Critique of Ambient Technology and the All-Seeing Network of RFID. Amsterdam, The Netherlands: Institute of Network Cultures; 2007.

van Kranenburg R, Anzelmo E, Bassi A, Caprio D, Dodson S, Ratto M. The Internet of Things. In: Proceeding of the 1st Berlin Symposium. Internet Society, Berlin, Germany; 2011. p. 25-7.

Li Y, Hou M, Liu H, Liu Y. Towards a theoretical framework of strategic decision, supporting capability and information sharing under the context of internet of things. Inf Technol Manag 2012;13(4):205-16.

Tan L, Wang N. Future Internet: The Internet of Things. In: Proceedings of the 3rd International Conference Advancement Computer Theory Engineering (ICACTE). Vol. 5. Chengdu, China, August, 20-2; 2010. p. 376-80.

Jia X, Feng O, Fan T, Lei Q. RFID Technology and its Applications in Internet of Things (IoT). In: Proceedings of the 2nd IEEE International Conference Consumer Electronics Communications Networks. (CECNet), Yichang, China, April, 21-3; 2012. p. 1282-5.

Sun C. Application of RFID technology for logistics on internet of things. AASRI Procedia 2012;1:106-11.

Ngai EW, Moon KK, Riggins FJ, Yi CY. RFID research: An academic literature review (1995-2005) and future research directions. Int J Prod Econ 2008;112(2):510-20.

Li S, Xu L, Wang X. Compressed sensing signal and data acquisition in wireless sensor networks and internet of things. IEEE Trans Ind Inf 2013;9(4):2177-86.

He W, Xu L. Integration of distributed enterprise applications: A survey. IEEE Trans Ind Inf 2014;10(1):35-42.

Uckelmann D, Harrison M, Michahelles F, editors. An architectural approach towards the future internet of things. In: Architecting the Internet of Things. New York, NY, USA: Springer; 2011. p. 1-24.

Li S, Xu L, Wang X, Wang J. Integration of hybrid wireless networks in cloud services oriented enterprise information systems. Enterp Inf Syst 2012;6(2):165-87.

Wang L, Xu L, Bi Z, Xu Y. Data filtering for RFID and WSN integration. IEEE Trans Ind Inf 2014;10(1):408-18.

Ren L, Zhang L, Tao F, Zhang X, Luo Y, Zhang Y. A methodology towards virtualization-based high performance simulation platform supporting multidisciplinary design of complex products. Enterp Inf Syst 2012;6(3):267-90.

Tao F, Laili Y, Xu L, Zhang L. FC-PACO-RM: A parallel method for service composition optimal-selection in cloud manufacturing system. IEEE Trans Ind Inf 2013;9(4):2023-33.

Li Q, Wang Z, Li W, Li J, Wang C, Du R. Applications integration in a hybrid cloud computing environment: Modelling and platform. Enterp Inf Syst 2013;7(3):237-71.

Bandyopadhyay D, Sen J. Internet of things: Applications and challenges in technology and standardization. Wirel Pers Commun 2011;58(1):49-69.

ITU NGN-GSI Rapporteur Group. Requirements for Support of USN Applications and Services in NGN Environment. Geneva, Switzerland: International Telecommunication Union (ITU); 2010.

Atzori L, Iera A, Morabito G. The internet of things: A survey. Comput Netw 2010;54(15):2787-805.

Miorandi D, Sicari S, de Pellegrini F, Chlamtac I. Internet of things: Vision, applications and research challenges. Ad Hoc Netw 2012;10(7):1497-516.

Vermesan O, Friess P, Guillemin P. Internet of Things Strategic Research Roadmap. The Cluster of European Research Projects; 2009. Available from: http://www.internet-of-things-research.eu/pdf/ IoT_Cluster_Strategic_Research_Agenda_2009.pdf. [Last accessed on 2013 Oct 01].

Sundmaeker H, Guillemin P, Friess P. Vision and Challenges for Realizing the Internet of Things. Brussels, Belgium: European Commission; 2010.

Voigt K. China Looks to Lead the Internet of Things; 2012. Available from: http://www.cnn.com/2012/11/28/business/china-internet-of-things. [Last accessed on 2013 Oct 01].

Zhang H, Zhu L. Internet of Things: Key Technology, Architecture and Challenging Problems. In: Proceedings of the 2011 IEEE International Conference Computer Science Automation Engineering. (CSAE), Shanghai, China, 10-12 Junuary, p. 507-12.

Wang S, Li L, Wang K, Jones J. E-business system integration: A systems perspective. Inf Technol Manag 2012;13(4):233-49.

Tao F, Guo H, Zhang L, Cheng Y. Modelling of combinable relationship-based composition service network and the theoretical proof of its scale-free characteristics. Enterp Inf Syst 2012;6(4):373-404.

Xu L, Viriyasitavat W, Ruchikachorn P, Martin A. Using propositional logic for requirements verification of service workflow. IEEE Trans Ind Inf 2012;8(3):639-46.

Rai A. Application of Artificial Intelligence for Virtually Assisted Prognosis of Diabetes: A NODDS Project. IJCA Proceedings on National Seminar on Application of Artificial Intelligence in Life Sciences. NSAAILS(1):1-5, February; 2013.

Rai A, Ramanathan S. Distributed learning in networked controlled cyber physical system. Int J Pharm Technol 2016;8(3):18537-46.

Rai A. High performance computing: A reality at central-India. Int J Innov Res Dev 2013;2(3):734-43.

Rai A. Automation in computation over Linux integrated environment. J Adv Shell Program 2014;1(1):18-20.

Rai A. Air computing: A parallel computing module for offloading computational workload on neighboring android devices. Recent Trends Parallel Comput 2015;1(3):10-3.

Rai A. Parallelizing mutations for genetic algorithm. Recent Trends Parallel Comput 2015;1(3):7-9.

Rai A, Ramanathan S, Kannan RJ. Quasi Opportunistic Supercomputing for Geospatial Socially Networked Mobile Devices. Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2016 IEEE 25th International Conference on. IEEE; 2016.

Published

01-04-2017

How to Cite

Rai, A., and J. K. R. “INTERNET OF THINGS-BASED MULTISENSOR NON-INVASIVE TECHNOLOGY FOR ROBUSMONITORING OF TUNNELING INFRASTRUCTURE”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 13, Apr. 2017, pp. 312-6, doi:10.22159/ajpcr.2017.v10s1.19745.

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