Abstract
With rapid adoption of advanced wireless sensors in last decades, industrial wireless sensor networks (IWSNs) are increasingly deployed in the industries for various applications. Sleep scheduling is a common approach in IWSNs to overcome network lifetime problem due to energy-constrained sensor nodes. However, in real-environment, node’s transmit power varies in different directions due to non-isotropic nature of electromagnetic transmission, path-loss, noise, and temperature. Thus, radio irregularity results in link asymmetry, thereafter, affects the performance of sleep scheduling in IWSNs. In this paper, we evaluate the impacts of radio irregularity on sleeping probability and lifetime performances of well-known connected k-neighborhood (CKN)-based sleep scheduling algorithms in duty-cycled IWSNs. We derive the upper-limit of sleep probability with radio irregularity variables. From the extensive simulations, we show that radio irregularity increases the number of awake nodes in duty-cycled sensor networks, therefore, network lifetime decreases with increasing values of link asymmetry parameters. Finally, an adverse impact of radio irregularity is observed in higher k-value in CKN-based algorithm due to more awake nodes to satisfy the k-connectivity in presence of link asymmetry.
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Notes
- 1.
NetTopo (online at http://sourceforge.net/projects/nettopo/) is an open source software for simulating and visualizing WSNs.
References
Berman, P., Calinescu, G., Shah, C., Zelikovsky, A.: Power efficient monitoring management in sensor networks. In: Proceedings of the IEEE WCNC, pp. 2329–2334. Atlanta, Georgia USA, April 2004
Cerpa, A., Wong, J.L., Kuang, L., Potkonjak, M., Estrin, D.: Statistical model of lossy links in wireless sensor networks. In: Proceedings of the IEEE IPSN, pp. 81–88. Los Angeles, California, April 2005
Evans, P.C., Annunziata, M.: Industrial internet: pushing the boundaries of minds and machines. Technical report, November 2012. www.ge.com/docs/chapters/Industrial_Internet.pdf
Nath, S., Gibbons, B.: P.: Communicating via fireflies: geographic routing on duty-cycled sensors. In: Proceedings of the IEEE/ACM 6th International Symposium on Information Processing in Sensor Networks (IPSN), Cambridge, MA, pp. 440–449, April 2007
Sasajima, H., Ishikuma, T., Hayashi, H.: Future IIoT in process automation \(-\) Latest trends of standardization in industrial automation. In: Proceedings of the IEEE 54th Annual Conference on Social Instrumentation Control Engineers of Japan (SICE), Hangzhou, China, pp. 963–967, July 2015
Tian, D., Georganas, N.: A coverage-preserving node scheduling scheme for large wireless sensor networks. In: Proceedings of the ACM International Workshop on Wireless Sensor Networks and Application, Atlanta, Georgia, USA, pp. 32–41 (2002)
Wang, L., Washington, W., Gilmore, K., Liu, C.: Impact of radio irregularities on connectivity of wireless networks with log-normal shadowing. In: Proceedings of the 11th IEEE International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Shenzhen, pp. 250–257, December 2015
Wang, L., Yuan, Z., Shu, L., Shi, L., Qin, Z.: An energy-efficient CKN algorithm for duty-cycled wireless sensor networks. Int. J. Distrib. Sensor Netw. 2012, 1–15 (2012)
Zhao, J., Govindan, R.: Understanding packet delivery performance in dense wireless sensor networks. In: Proceedings of the ACM Sensor System, Los Angeles, California, pp. 1–13, November 2003
Zhou, G., He, T., Krishnamurthy, S., Stankovic, J.A.: Models and solutions for radio irregularity in wireless sensor networks. ACM Trans. Sensor Netw. 2(2), 221–262 (2006)
Zhu, C., Leung, V.C.M., Yang, L.T., Shu, L.: Collaborative location-based sleep scheduling for wireless sensor networks integratedwith mobile cloud computing. IEEE Trans. Comput. 64(7), 1844–1856 (2015)
Zhu, C., Sheng, Z., Leung, V.C.M., Shu, L., Yang, L.T.: Toward offering more useful data reliably to mobile cloud from wireless sensor network. IEEE Trans. Emerg. Topics Comput. 3(1), 84–94 (2015)
Zhu, C., Yang, L.T., Shu, L., Leung, V.C.M., Rodrigues, J.P.C., Wang, L.: Sleep scheduling for geographic routing in duty-cycled mobile sensor networks. IEEE Trans. Ind. Electron. 61(11), 6346–6355 (2014)
Zuniga, M., Krishnamachari, B.: Analyzing the transitional region in low power wireless links. In: Proceedings of the IEEE SECON, Santa Clara, California, pp. 517–526, October 2004
Acknowledgments
This work is supported by Guangdong University of Petrochemical Technology through Internal Project 2012RC106, 2013 Special Fund of Guangdong Higher School Talent Recruitment, Educational Commission of Guangdong Province, China Project 2013KJCX0131, Guangdong High-Tech Development Fund 2013B010401035, and National Natural Science Foundation of China Grant 61401107. Lei Shu is the corresponding author.
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Mukherjee, M., Shu, L., Hu, L., Deng, DJ. (2017). Impacts of Radio Irregularity on Duty-Cycled Industrial Wireless Sensor Networks. In: Maglaras, L., Janicke, H., Jones, K. (eds) Industrial Networks and Intelligent Systems. INISCOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 188. Springer, Cham. https://doi.org/10.1007/978-3-319-52569-3_3
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