Abstract
Due to the popularity of IoT, applications related to IoT have gained focus. In this paper, we have proposed a Smart Dust based Smart Judiciary System. We have also discussed the merits and demerits of the proposed system. And have also illustrated the risks and challenges related to Smart Dust. We have also briefly highlighted some of the emerging domains of IoT.
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References
Gai, K., et al.: Privacy-preserving content-oriented wireless communication in internet-of-things. IEEE Internet Things J. 5(4), 3059–3067 (2018)
Sadana, D.K., Li, N., Bedell, S.W., Shahidi, G.S.: “Smart Dust” & Internet of Things (IoT): progress & challenges. J. Lasers Optics Photonics 4(2), 1–2 (2017). https://doi.org/10.4172/2469-410X.1000160
Sathyan, S., Pulari, S.R.: A deeper insight on developments and real-time applications of smart dust particle sensor technology. In: Hemanth, D.J., Smys, S. (eds.) Computational Vision and Bio Inspired Computing. LNCVB, vol. 28, pp. 193–204. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-71767-8_16
Mannir, M., Getso, A., Ismail, M.: Internet of things and smartdust: the future of wireless internet of things and smartdust. Int. J. Inf. Syst. Eng. 5(1), 13–23 (2017). https://doi.org/10.24924/ijise/2017.04/v5.iss1/13.23
Thiele, S., et al.: 3D-printed eagle eye: Compound microlens system for foveated imaging. Sci. Adv. 3(2), e1602655 (2017)
Kahn, J.M., Katz, R.H., Pister, K.S.J.: Next century challenges: mobile networking for “Smart Dust”. In: Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, pp. 271–278. ACM (1999)
Menaria, V.K., Jain, S.C., Nagaraju, A.: A fault tolerance based route optimisation and data aggregation using artificial intelligence to enhance performance in wireless sensor networks. Int. J. Wireless Mobile Comput. 14(2), 123–137 (2018)
NCRB.: Crime and Criminal Tracking Network & Systems (CCTNS). CCTNS Branch, http://ncrb.gov.in/BureauDivisions/cctnsnew/index.html. Accessed 24 Nov 2018
Motlagh, N.H., Bagaa, M., Taleb, T.: UAV-based IoT platform: a crowd surveillance use case. IEEE Commun. Mag. 55(2), 128–134 (2017)
Byun, J.-Y., Nasridinov, A., Park, Y.-H.: Internet of things for smart crime detection. Contemp. Eng. Sci. 7(15), 749–754 (2014)
Marr, B.: Smart dust is coming. are you ready?. Forbes Media LLC, 16 September 2018. https://www.forbes.com/sites/bernardmarr/2018/09/16/smart-dust-is-coming-are-you-ready/#27df1cb15e41. Accessed 23 Nov 2018
Warneke, B., Bhave, S.: Smart dust mote core architecture. Project report, Berkeley Sensor and Actuator Center, Berkeley, CA (2000). http://bwrc.eecs.berkeley.edu/Classes/CS252/Projects/Reports/warnke.pdf
Sharp Corporation: Sharp Introduces Microbe Sensor for Fast\(^{*1}\), Automatic Measurement and Visualized Count of Airborne Microbes. Sharp, 26 September 2013. http://www.sharp-world.com/corporate/news/130926.html. Accessed 25 Nov 2018
Abbasian, F., Ghafar-Zadeh, E., Magierowski, S.: Microbiological sensing technologies: a review. Bioengineering 5(1), 20 (2018)
Villard, A., Lelah, A., Brissaud, D.: Drawing a chip environmental profile: environmental indicators for the semiconductor industry. J. Clean. Prod. 86, 98–109 (2015)
Rishika Poojari, Snehal Shah. Smart Dust Technology. Int. J. Recent Innovation Trends Comput. Commun. (IJRITCC) 5, 65–68 (2017). ISSN 2321–8169. http://www.ijritcc.org/download/conferences/ICEMTE_2017/Track_6_(Others)/1489906857_19-03-2017.pdf
Dickson, S.A.: Enabling Battlespace Persistent Surveillance: The Form, Function, and Future of Smart Dust. AIR WAR COLL MAXWELL AFB AL CENTER FOR STRATEGY AND TECHNOLOGY (2007)
Mohan, S.C., Arulselvi, S.: Smartdust network for tactical border surveillance using multiple signatures. IOSR-JECE 5(5), 1–10 (2013)
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Jain, S.K., Kesswani, N. (2019). Smart Judiciary System: A Smart Dust Based IoT Application. In: Somani, A., Ramakrishna, S., Chaudhary, A., Choudhary, C., Agarwal, B. (eds) Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics. ICETCE 2019. Communications in Computer and Information Science, vol 985. Springer, Singapore. https://doi.org/10.1007/978-981-13-8300-7_11
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DOI: https://doi.org/10.1007/978-981-13-8300-7_11
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