Trends, Technologies, and Future Challenges in  Wireless Sensor Networkâ€™s

Putri Kevin; Dian Viely

doi:10.21276/ijirem.2021.8.5.4

Abstract

Wireless microsensor is the most significant and innovative technology in the 21^st Century. The development of sensor networks is examined, and applications like infrastructure security, monitoring ecosystem, and traffic management. The technical difficulties in sensor network development include routing, network exploration, signal processing, and security. This paper concludes by exploring results from different research in sensor network algorithms, localized algorithms and directed diffusion, distributed tracking in wireless ad hoc networks, and distributed classification using local agents.

Keywords

Sensor network, Localization, RSSI, Ad-hoc, Anchor

References

Kulkarni, R. N., and C. K. Srinivasa. "Ameliorated Methodology to Meta Model UML Sequence Diagram in the Table Format." Int. J. Advanced Networking and Applications 12, no. 04 (2021): 4633-4638.
Ahmad, T., Li, X. J., & Seet, B. C. (2017). Parametric loop division for 3D localization in wireless sensor networks. Sensors, 17(7), 1697.
C. E. Nishimura and D. M. Conlon, “IUSS dual use: Monitoring whales and earthquakes using SOSUS,” Mar. Technol. Soc. J., vol. 27, no. 4, pp. 13–21, 1994.
Proceedings of the Distributed Sensor Nets Workshop. Pittsburgh, PA: Dept. Comput. Sci., Carnegie Mellon Univ., 1978.
R. F. Sproull and D. Cohen, “High-level protocols,” Proc. IEEE, vol. 66, pp. 1371–1386, Nov. 1978.
P. Nii, E. Feigenbaum, J. Anton, and A. Rockmore, “Signal-to-symbol transformation: HASP/SIAP case study,” AI Mag., vol. 3, pp. 23–36, Spring 1982.
R. R. Smith, “The contract net protocol: High-level communication and control in a distributed problem solver,” IEEE Trans. Comput., vol. 29, pp. 1104–1113, Dec.1980.
V. Lesser and D. Corkill, “Functionally accurate, cooperative dis-tributed systems,” IEEE Trans. Syst., Man, Cybern., vol. 11, pp. 81–96, Jan./Feb. 1981.
R. B. Wesson, F. A. Hayes-Roth, J. W. Burge, C. Stasz, and C. A. Sunshine, “Network structures for distributed situation assessment,” IEEE Trans. Syst., Man, Cybern., vol. SMC-11, pp. 5–23, Jan./Feb. 1981.
R. Rashid and G. Robertson, “Accent: A communication oriented network operating system kernel,” in Proc. 8th Symp. Operating System Principles, 1981, pp. 64–75.
R. Rashid, D. Julin, D. Orr, R. Sanzi, R. Baron, A. Forin, D. Golub, and M. Jones, “Mach: A system software kernel,” in 34th Computer Society Int. Conf. (COMPCON), San Francisco, CA, 1989.
C. Myers, A. Oppenheim, R. Davis, and W. Dove, “Knowledge-based speec analysis and enhancement,” presented at the Int. Conf. Acoustics, Speech and Signal Processing, San Diego, CA, 1984.
S. S. Kulkarni, “TDMA Services for Sensor Networks,”Proc. 24th Int’l. Conf. Distrib. Comp. Sys. Wksps., Mar.2004, pp. 604–09.
W. Ye, J. Heidemann, and D. Estrin, “Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks,” IEEE/ACM Trans. Net., vol. 12, no. 3, June 2004, pp. 493–506.
A. El-Hoiydi, “Spatial TDMA and CSMA with Preamble Sampling for Low Power Ad Hoc Wireless Sensor Networks,” Proc. ISCC 2002, July 2002, pp. 685–92.
V. Rajendran, K. Obraczka, and J. J. Garcia-Luna-Aceves, “Energy-Efficient, Collision-Free Medium Access Control for Wireless Sensor Networks,” Proc. ACM SenSys ‘03, Los Angeles, CA, Nov. 2003, pp. 181–92.
L. Bao and J. J. Garcia-Luna-Aceves, “A New Approach to Channel Access Scheduling for Ad Hoc Networks,” 7th Ann. Int’l. Conf. Mobile Comp. and Net., 2001, pp. 210– 21.
Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. "A self-calibrated centroid localization algorithm for indoor ZigBee WSNs." In 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN), pp. 455-461. IEEE, 2016.
Dawadi, B. R., Rawat, D. B., Joshi, S. R., & Keitsch, M. M. (2020). Towards energy efficiency and green network infrastructure deployment in Nepal using software defined IPv6 network paradigm. The Electronic Journal of Information Systems in Developing Countries, 86(1), e12114.
Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. "3D localization based on parametric loop division and subdivision surfaces for wireless sensor networks." In 2016 25th Wireless and Optical Communication Conference (WOCC), pp. 1-6. IEEE, 2016.
K. Jamieson, H. Balakrishnan, and Y. C. Tay, “Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks,” MIT Lab. Comp. Sci., Tech. rep. 894, May 2003, available at http://www.lcs.mit.edu/publications/pubs/pdf/MIT-LCSTR-894.pdf
Y. C. Tay, K. Jamieson, and H. Balakrishnan, “CollisionMinimizing CSMA and Its Applications to Wireless Sensor Networks,” IEEE JSAC, vol. 22, no. 6, Aug. 2004, pp. 1048–57.
Ahmad, T., Li, X. J., Wenchao, J., & Ghaffar, A. (2020, September). Frugal Sensing: A Novel approach of Mobile Sensor Network Localization based on Fuzzy-Logic. In Proceedings of the ACM MobiArch 2020 The 15th Workshop on Mobility in the Evolving Internet Architecture (pp. 8-15).
Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. "3D localization using social network analysis for wireless sensor networks." In 2018 IEEE 3rd international conference on communication and information systems (ICCIS), pp. 88-92. IEEE, 2018.
Ahmad, T., Li, X. J., & Seet, B. C. (2017). Parametric loop division for 3D localization in wireless sensor networks. Sensors, 17(7), 1697.
Chen, Hongyang, Pei Huang, Marcelo Martins, Hing Cheung So, and Kaoru Sezaki. "Novel centroid localization algorithm for three-dimensional wireless sensor networks." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, pp. 1-4. IEEE, 2008.
Chen, Kai, Zhong-hua Wang, Mei Lin, and Min Yu. "An improved DV-Hop localization algorithm for wireless sensor networks." (2010): 255-259.
Ahmad, T. (2019). 3D Localization Techniques for Wireless Sensor Networks (Doctoral dissertation, Auckland University of Technology).
zeng Wang, Ji, and Hongxu Jin. "Improvement on APIT localization algorithms for wireless sensor networks." In 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing, vol. 1, pp. 719-723. IEEE, 2009.
Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. "Noise Reduction Scheme for Parametric Loop Division 3D Wireless Localization Algorithm Based on Extended Kalman Filtering." Journal of Sensor and Actuator Networks 8, no. 2 (2019): 24.
Ahmad, Tanveer, Xue Jun Li, and Boon-Chong Seet. "Fuzzy-Logic Based Localization for Mobile Sensor Networks." In 2019 2nd International Conference on Communication, Computing and Digital systems (CCODE), pp. 43-47. IEEE, 2019.
G. Lu, B. Krishnamachari, and C. S. Raghavendra, “An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Wireless Sensor Networks,” Proc. 18th Int’l. Parallel and Distrib. Processing Symp., Apr. 2004, p. 224.
Ahmad, Tanveer, Xue Jun Li, Boon-Chong Seet, and Juan-Carlos Cano. "Social Network Analysis Based Localization Technique with Clustered Closeness Centrality for 3D Wireless Sensor Networks." Electronics 9, no. 5 (2020): 738.
hakila, R., and B. Paramasivan. "An improved range based localization using Whale Optimization Algorithm in underwater wireless sensor network." Journal of Ambient Intelligence and Humanized Computing (2020): 1-11.
R. Niu and P. Varshney, “Target location estimation in wireless sensor networks using binary data,” in Proceedings of the 38th International Conference on Information Sciences and Systems, pp. 17–19, Princeton, NJ, USA, March 2004.
M. P. Michaelides and C. G. Panayiotou, “SNAP: fault tolerant event location estimation in sensor networks using binary data,” IEEE Transactions on Computers, vol. 58, no. 9, pp. 1185– 1197, 2009.
K. Lu, X. Xiang, D. Zhang, R. Mao, and Y. Feng, “Localization algorithm based on maximum a posteriori in wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 2012, Article ID 260302, 7 pages, 2012.
L. Cheng, C. D. Wu, Y. Z. Zhang, and Y. Wang, “Indoor robot localization based on wireless sensor networks,” IEEE Transactions on Consumer Electronics, vol. 57, no. 3, pp. 1099– 1104, 2011.
Y. Wang, X. Wang, D. Wang, and D. P. Agrawal, “Range-free localization using expected hop progress in wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 10, pp. 1540–1552, 2009.
H. Xu, Y. Tu, W. Xiao, Y. Mao, and T. Shen, “An archimedes curve-based mobile anchor node localization algorithm in wireless sensor networks,” in Proceedings of the 8th World Congress on Intelligent Control and Automation (WCICA ’10), pp. 6993–6997, Jinan, China, July 2010.
J. Lee, W. Chung, and E. Kim, “Robust DV-Hop algorithm for localization in wireless sensor network,” in Proceedings of the International Conference on Control, Automation and Systems, pp. 2506–2509, Gyeonggi-do, South Korea, October 2010.
Ware, R.; Lad, F. Approximating the Distribution for Sum of Product of Normal Variables; Research report; the Mathematics and Statistics department at Canterbury University: Christchurch, New Zealand, 2003.
Wen, C.-Y.; Hsiao, Y.-C. Decentralized anchor-free localization for wireless ad-hoc sensor networks. In Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, Singapore, October 2008; pp. 2777-2785.
Roberts, G.; Gelman, A.; Gilks, W. Weak Convergence and Optimal Scaling of Random Walk Metropolis Algorithms. Technical Report; University of Cambridge: Cambridge, UK, 1994.
Chan, Fu and Chih-yu “Adaptive AoA/ToA localziation using fuzzy particle for mobile WSNs” in 2011 IEEE 73^rd VTC Spring 2011.
F. Zhao, J. Shin, and J. Reich, “Information-driven dynamic sensor collaboration for tracking applications,” IEEE Signal Processing Mag., vol. 19, pp. 61–72, Mar. 2002.

Cites this article as

P. Kevin, D. Viely, "Trends, Technologies, and Future Challenges in Wireless Sensor Networkâ€™s", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-8, Issue-5, Page No-15-20, 2021. Available from: https://doi.org/10.21276/ijirem.2021.8.5.4