Abstract
The sensor node facilitates lot of automation applications including disaster monitoring and surveillance purposes. The sensor nodes placed in a remote environment sends their signal to a sink for further processing and understanding. The sensor network deployed in an anti-third environment on failure provides distrusted data or failure of communication resulting in catastrophic conditions. This paper focuses on studying the reliability of the tandem system. A group of 40 sensor nodes are tested in real time to study the fault characteristics. The study proposes the feasibility and successful working duration of the sensor monitoring applications. The paper provides overall reliability of the sensor monitoring unattended environments. It also emphasize on practical analysis and replacement time for a sensor node monitoring anxious situations.
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References
Ammari, H.M., Das, S.K.: Integrated coverage and connectivity in wireless sensor networks: a two-dimensional percolation problem. IEEE Trans. Comput. 57(10), 1423–1434 (2008)
Boudriga, N., Hamdi, M., Iyengar, S.: Coverage assessment and target tracking in 3D domains. Sensors 11(10), 9904–9927 (2011)
Fan, G., Wang, R., Huang, H., Sun, L., Sha, C.: Coverage guaranteed sensor node deployment strategies for wireless sensor networks. Sensors 10(3), 2064–2087 (2010)
Habib, S.J.: Modeling and simulating coverage in sensor networks. Comput. Commun. 30(5), 1029–1035 (2007)
Pashazadeh, S., Sharifi, M.: A geometric modelling approach to determining the best sensing coverage for 3-dimensional acoustic target tracking in wireless sensor networks. Sensors 9(9), 6764–6794 (2009)
Aziz, N.A.B.A., Mohemmed, A.W., Alias, M.Y.: A wireless sensor network coverage optimization algorithm based on particle swarm optimization and Voronoi diagram. In: International Conference on Networking, Sensing and Control (ICNSC’09), pp. 602–607, Mar 2009. IEEE
Ammari, H.M., Das, S.K.: A study of k-coverage and measures of connectivity in 3D wireless sensor networks. IEEE Trans. Comput. 59(2), 243–257 (2010)
Mahmood, M.A., Winston, K.G., Welch, S.I.: Reliability in wireless sensor networks: a survey and challenges ahead. Comput. Netw. 79, 166–187 (2015)
Katiyar, M., Sinha, H.P., Gupta, D.: On reliability modelling in wireless sensor networks: a review. Int. J. Comput. Sci. Issues 9(6), 99–105 (2012)
D’amaso, A., Rosa, N., Maciel, P.: Reliability of wireless sensor networks. Sensors 14(9), 15760–15785 (2014)
Xing, L.D.: An efficient binary-decision-diagram-based approach for network reliability and sensitivity analysis. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 38(1), 105–115 (2008)
Mahima, V., Chitra, A.: Battery recovery based lifetime enhancement (BRLE) algorithm for wireless sensor network. Wirel. Pers. Commun. 97(4), 6541–6557 (2017)
Nageswari, D., Maheswar, R., Kanagachidambaresan, G.R.: Performance analysis of cluster based homogeneous sensor network using energy efficient N-policy (EENP) model. Clust. Comput. (2018). https://doi.org/10.1007/s10586-017-1603-z
Jayarajan, P., Maheswar, R., Kanagachidambaresan, G.R.: Modified energy minimization scheme using queue threshold based on priority queueing model. Clust. Comput. (2017). https://doi.org/10.1007/s10586-017-1564-2
Kanagachidambaresan, G.R., Chitra, A.: TA-FSFT thermal aware fail safe fault tolerant algorithm for wireless body sensor network. Wirel. Pers. Commun. 90(4), 1935–1950 (2016)
Kanagachidambaresan, G.R., SarmaDhulipala, V.R., Vanusha, D., Udhaya, M.S.: Matlab based modeling of body sensor network using ZigBee protocol. In: Proceedings of CIIT 2011, CCIS 250, pp. 773–776 (2011)
Kanagachidambaresan, G.R., Chitra, A.: Fail safe fault tolerant mechanism for wireless body sensor network (WBSN). Wirel. Pers. Commun. Int. J. 80(1), 247–260 (2015). https://doi.org/10.1007/s11277-014-2006-6
SarmaDhulipala, V.R., Kanagachidambaresan, G.R., Chandrasekaran, R.M.: Lack of power avoidance: a fault classification based fault tolerant framework solution for lifetime enhancement and reliable communication in wireless sensor network. Inf. Technol. J. 11(6) (2012)
Kanagachidambaresan, G.R., SarmaDhulipala, V.R., Udhaya, M.S.: Markovian model based trustworthy architecture. In: Procedia Engineering, ICCTSD. Elseiver (2011)
Acknowledgements
We would like to thank Mr. S. Sudhakar, Group director, Control Digital and Electronics Group, ISRO Satellite Centre, Bangalore and Vel Tech Nano Satellite team for supporting this work.
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Mahima, V., Kanagachidambaresan, G.R., Balaji, M., Das, J. (2019). Reliability Study of Sensor Node Monitoring Unattended Environment. In: Tiwari, S., Trivedi, M., Mishra, K., Misra, A., Kumar, K. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 851. Springer, Singapore. https://doi.org/10.1007/978-981-13-2414-7_18
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DOI: https://doi.org/10.1007/978-981-13-2414-7_18
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