Abstract
Energy harvesting wireless sensor networks (EH-WSNs) have been widely studied. However, in the case of limited illumination time or weak illumination intensity in winter or cloudy days, energy harvested by nodes is also limited, which leads to the corresponding reduction of network lifetime. Therefore, this paper proposes a Sleep scheduling algorithm based on virtual Grid for Limited Energy collection energy harvesting (SGLE), which consists of two parts: (1) A judgment criteria of redundant nodes; The network monitoring region is divided into several small squares of equal area, The network monitoring region is divided into several equal areas, and the covering ratio of the node’s sensing region by its neighbor nodes is calculated to determine whether it is redundant or not. (2) A sensor node interacts with its neighbor nodes to decide the sleeping priority; A node exchanges sleep priority information with its neighbor node, so that to decide whether to sleep or not, so as to effectively avoid the occurrence of coverage hole. Simulation results show that, compared with the existing mod-LEACH algorithm, VSGCA algorithm and GAF algorithm, SGLE algorithm has a significant improvement in node survival rate, node mortality rate, network coverage rate and working node ratio under the same conditions.
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References
Kumar, A., Zhao, M., Wong, K.J., et al.: A comprehensive study of IoT and WSN MAC protocols: research issues, challenges and opportunities. IEEE Access 6, 76228–76262 (2018)
Li, M., Lin, H.J.: Design and implementation of smart home control systems based on wireless sensor networks and power line communications. IEEE Trans. Industr. Electron. 62(7), 4430–4442 (2014)
Galmés, S., Escolar, S.: Analytical model for the duty cycle in solar-based EH-WSN for environmental monitoring. Sensors 18(8), 2499 (2018)
Nellore, K., Hancke, G.P.: A survey on urban traffic management system using wireless sensor networks. Sensors 16(2), 157 (2016)
Jeong, J.S., Han, O., You, Y.Y.: A design characteristics of smart healthcare system as the IoT application. Indian J. Sci. Technol. 9(37), 52 (2016)
Fujii, C., Seah, W.K.G.: Multi-tier probabilistic polling in wireless sensor networks powered by energy harvesting. In: 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 383–388. IEEE (2011)
Sharma, H., Haque, A., Jaffery, Z.A.: Modeling and optimisation of a solar energy harvesting system for wireless sensor network nodes. J. Sens. Actuator Netw. 7(3), 40 (2018)
Gu, Y., He, T.: Bounding communication delay in energy harvesting sensor networks. In: 2010 IEEE 30th International Conference on Distributed Computing Systems, pp. 837–847. IEEE (2010)
Peng, S., Low, C.P.: Energy neutral directed diffusion for energy harvesting wireless sensor networks. Comput. Commun. 63, 40–52 (2015)
Annabel, L.S.P., Murugan, K.: An energy efficient wakeup schedule and power management algorithm for wireless sensor networks. In: 2012 International Conference on Recent Trends in Information Technology, pp. 314–319. IEEE (2012)
Eu, Z.A., Tan, H.P., Seah, W.K.G.: Design and performance analysis of MAC schemes for wireless sensor networks powered by ambient energy harvesting. Ad Hoc Netw. 9(3), 300–323 (2011)
Zhu, J., Tang, L., Xi, H., et al.: Reliability analysis of wireless sensor networks using Markovian model. J. Appl. Math. 2012 (2012)
Zonouz, A.E., Xing, L., Vokkarane, V.M., et al.: Reliability-oriented single-path routing protocols in wireless sensor networks. IEEE Sens. J. 14(11), 4059–4068 (2014)
Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wireless Commun. 1(4), 660–670 (2002)
Tian, D., Georganas, N.D.: A coverage-preserving node scheduling scheme for large wireless sensor networks. In: Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, pp. 32–41 (2002)
Ding, Y., Wang, C., Xiao, L.: An adaptive partitioning scheme for sleep scheduling and topology control in wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 20(9), 1352–1365 (2008)
Deng, J., Han, Y.S., Heinzelman, W.B., et al.: Scheduling sleeping nodes in high density cluster-based sensor networks. Mob. Netw. Appl. 10(6), 825–835 (2005)
Cuomo, F., Abbagnale, A., Cipollone, E.: Cross-layer network formation for energy-efficient IEEE 802.15. 4/ZigBee wireless sensor networks. Ad Hoc Netw. 11(2), 672–686, (2013)
Liu, Y., Suo, L., Sun, D., Wang, A.: A virtul square grid-based coverage algorithm of redundant node for wireless sensor network. J. Netw. Comput. Appl. 36(2), 101–106 (2013)
Kim, E.-J., Kim, M., Youm, S.-K., Choi, S., Kang, C.-H.: Priority-based service differentiation scheme for IEEE 802.15.4 sensor networks. AEUE Int. J. Electron. Commun. 61(2), 69–81 (2006)
Xing, G., Wang, X., Zhang, Y., et al.: Integrated coverage and connectivity configuration for energy conservation in sensor networks. ACM Trans. Sens. Netw. (TOSN) 1(1), 36–72 (2005)
Wu, K., Gao, Y., Li, F., et al.: Lightweight deployment-aware scheduling for wireless sensor networks. Mob. Netw. Appl. 10(6), 837–852 (2005)
Xu, Y., Heidemann, J., Estrin, D.: Geography-informed energy conservation for ad hoc routing. In: Proceedings of the 7th Annual International Conference on Mobile Computing and Networking, pp. 70–84 (2001)
Wang, L., Xiao, Y.: A survey of energy-efficient scheduling mechanisms in sensor networks. Mob. Netw. Appl. 11(5), 723–740 (2006)
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This paper was funded by the Self-topic/Open Project of Engineering Research Center of Ecological Big Data, Ministry of Education
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Gao, F., Li, W., Li, P., Wang, R. (2022). A Sleep Scheduling Algorithm with Limited Energy Collection in Energy Harvesting Wireless Sensor Networks. In: Calafate, C.T., Chen, X., Wu, Y. (eds) Mobile Networks and Management. MONAMI 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-94763-7_21
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