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Wireless sensor networks (WSNs) is used for the internet of things, and Pervasive/Ubiquitous computing. These networks consist of intelligent nodes which sense data and forward it to the sink/destination node, and it can be used to a very dangerous area for collecting data. Energy saving is a very important concern in wireless sensor networks because of the energy limitation in nodes. This issue can be controlled by power control policies, such as routing for transmitting packets from the source node to the sink node or destination node. Recently, the mobile sink has been employed for routing to improve energy saving as well as network lifetime in WSNs. In this paper, an integration of geographic and hierarchical method with mobile sink is proposed to decrease the energy consumption and increase the network lifetime. With this method, residual energy can be increased, thereby increasing network lifetime greatly. Results of experimental simulation clearly show that the new proposed method increases network lifetime by at least 23.68% compared to other solutions.
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Kakarla, J., Majhi, B., & Battula, R. B. (2015). Comparative analysis of routing protocols in wireless sensor-actor networks: A review. International Journal of Wireless Information Networks, 22(3), 220–239. CrossRef
Chen, Z., Liu, A., Choi, Y., Sekiya, H., & Li, J. (2017). Energy-efficient broadcasting scheme for smart industrial wireless sensor networks. Mobile Information Systems, 2017, 17. https://doi.org/10.1155/2017/7538190.
Mittal, N., Singh, U., & Sohi, B. S. (2016). A stable energy efficient clustering protocol for wireless sensor networks. Wireless Networks, 23, 1809–1821. CrossRef
Singh, H. & Singh, D. (2016). Taxonomy of routing protocols in wireless sensor networks: A survey. In 2nd international conference on contemporary computing and informatics.
Eslaminejad, M., Razak, S., & Ismail, A. (2012). EEDARS: An energy-efficient dual-sink algorithm with role switching mechanism for event-driven wireless. Transactions on Internet and Information Systems, 6(10), 2473–2492. https://doi.org/10.3837/tiis.2012.10.002.
Yarinezhad, R., & Sarabi, A. (2018). Reducing delay and energy consumption in wireless sensor networks by making virtual grid infrastructure and using mobile sink. International Journal of Electronics and Communications, 84, 144–152. CrossRef
Kumar, A., Shwe, H. Y., Wong, K. J., & Chong, P. H. J. (2017). Location-based routing protocols for wireless sensor networks: A survey. Wireless Sensor Network WSN, 09(01), 25–72. CrossRef
Gao, S., Zhang, H., & Das, S. K. (2011). Efficient data collection in wireless sensor networks with path-constrained mobile sinks. IEEE Transactions on Mobile Computing, 10(4), 592–608. CrossRef
Yan, F., Zhang, X., Tao, L., & Zhang, H. (2018). Network coding-based flooding with a mobile sink in low-duty-cycle wireless sensor networks. IEEE Transactions on Mobile Computing. https://doi.org/10.1109/TMC.2018.2868664.
Khan, A., Abdullah, A., Razzaque, M., & Bangash, J. (2015). VGDRA: A virtual grid-based dynamic routes adjustment scheme for mobile sink-based wireless sensor networks. IEEE Sensors Journal, 15(1), 526–534. CrossRef
- Integration of geographic and hierarchical routing protocols for energy saving in wireless sensor networks with mobile sink
Seyed Ebrahim Dashti
- Springer US