Abstract
Extensive use of sensor and actuator networks in many real-life applications introduced several new performance metrics at the node and network level. Since wireless sensor nodes have significant battery constraints, therefore, energy efficiency, as well as network lifetime, are among the most significant performance metrics to measure the effectiveness of given network architecture. This work investigates the performance of an event-based data delivery model using a multipath routing scheme for a wireless sensor network with multiple sink nodes. This routing algorithm follows a sink initiated route discovery process with the location information of the source nodes already known to the sink nodes. It also considers communication link costs before making decisions for packet forwarding. Carried out simulation compares the network performance of a wireless sensor network with a single sink, dual sink, and multi sink networking approaches. Based on a series of simulation experiments, the lifetime aware multipath routing approach is found appropriate for increasing the lifetime of sensor nodes significantly when compared to other similar routing schemes. However, energy-efficient packet forwarding is a major concern of this work; other network performance metrics like delay, average packet latency, and packet delivery ratio are also taken into the account.






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Sohrabi, K., Minol, D., & Znati, T. (2012). Wireless sensor networks. New Delhi, India: Wiley.
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40, 102–114.
Akyildiz, I. F., & Vuran, M. C. (2010). Wireless Sensor Networks. Chichester: John Wiley and Sons, UK.
Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Science Direct Computer Networks, 52(12), 2292–2330. https://doi.org/10.1016/j.comnet.2008.04.002
Banik, S., Mowla, M.M., Ahemad, I. (2019) A strategic routing analysis for agro sensor communications in mobile Ad hoc networks. In 1st IEEE International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT-2019), Dhaka, Bangladesh.
Jain, T. K., Saini, D. S., & Bhushan, S. V. (2015). Lifetime optimization of a multiple sink wireless sensor network through energy balancing. Hindavi Journal of Sensors. https://doi.org/10.1155/2015/921250
Xu, Z., Yin, Y., Wang, J., & Kim, J. U. (2012). An energy-efficient multi-sink clustering algorithm for wireless sensor networks. International Journal of Control and Automation, 5(4), 131–142.
Varga, A. (2001).The OMNeT++ discrete event simulation system. In European Simulation Multiconference (ESM’2001), Prague, Czech Republic, pp. 112-118
Sorensen, C. G., et al. (2011). Functional requirements for a future farm management information system. Computers and Electronics in Agriculture, 76(2), 266–276. https://doi.org/10.1016/j.compag.2011.02.005
Kundaliya, B. L., & Hadia, S. K. (2020). Routing algorithms for wireless sensor networks: analysed and compared. Wireless Personal Communications, 110, 85–107. https://doi.org/10.1007/s11277-019-06713-3
Rukpakavong, W., Guan, L., & Phillips, I. (2014). Dynamic node lifetime estimation for wireless sensor networks. IEEE Sensors Journal, 14(5), 1370–1379. https://doi.org/10.1109/JSEN.2013.2295303
Tan, L.S., Xie, Ll, Ko, K.T., et al. (2006) LAMOR: Lifetime-aware multipath optimized routing algorithm for video transmission over Ad hoc networks. In IEEE Vehicular Technology Conference (Vol. 2, pp. 623–627) 7–10 May 2006, Melbourne, Australia.
Liu, M., Cao, J., Chen, G., & Wang, X. (2009). An energy-aware routing protocol for wireless sensor networks. Sensors, 9, 445–462. https://doi.org/10.3390/s90100445
Chanal, P.M., Kakkasageri, M.S., Shirbur, A.A., Kori, G. (2017) Energy-Aware Multipath Routing Scheme for Wireless Sensor Networks. In: 7th IEEE International Advance Computing Conference (IACC 2017) (pp 313–317) Hyderabad, India. https://doi.org/10.1109/IACC.2017.0074.
Tan, D. D., & Kim, D. (2014). Dynamic traffic-aware routing algorithm for multi-sink wireless sensor networks. Wireless Networks, 20, 1239–1250. https://doi.org/10.1007/s11276-013-0672-z
Sarkar, A., & Murugan, T. S. (2016). Routing protocols for wireless sensor networks: What the literature says? Alexandria Engineering, 55, 3173–3183. https://doi.org/10.1016/j.aej.2016.08.003
Ghosh K, Das PK, Neogy S (2015) Effect of source selection, deployment pattern, and data forwarding technique on the lifetime of data aggregating multi-sink wireless sensor network. In: Chaki R, Saeed K, Choudhury S, Chaki N (eds) Applied computation and security systems. Advances in intelligent systems and computing, vol 304. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1985-9_10.
Lipinski, Z. (2018). (2018) Routing algorithm for maximizing lifetime of wireless sensor network for broadcast transmission. Wireless Personal Communications, 101, 251–268.
Wu, C., Yuan, R., Zhou, H. (2008) A novel load balanced and lifetime maximization routing protocol in wireless sensor networks. In IEEE 2008 Vehicular Technology Conference (VTC 2008-Spring) (pp. 113–117) Singapore,. DOI: https://doi.org/10.1109/VETECS.2008.36.
Gangwar, D. S., Tyagi, S., & Soni, S. K. (2019). A conceptual framework of agroecological resource management system for climate-smart agriculture. International Journal of Environmental Science and Technology, 16, 4123–4132. https://doi.org/10.1007/s13762-018-1827-3
Keskin, M. E. (2017). Lifetime maximization of wireless sensor networks with sink costs. Turkish Journal of Electrical Engineering and Computer Sciences, 25, 4602–4614. https://doi.org/10.3906/elk-1702-107
Radi, M., Dezfouli, B., Bakar, K. A., & Lee, M. (2012). Multipath routing in wireless sensor networks: survey and research challenges. Sensors, 12(1), 650–685. https://doi.org/10.3390/s120100650
Chen, Y., Chan, E., Han, S. (2005) Energy Efficient Multipath Routing in Large Scale Sensor Networks with Multiple Sink Nodes. In International Workshop on Advanced Parallel Processing Technologies (pp. 390–399). https://doi.org/10.1007/11573937_42.
Lu, Y. M., & Wong, V. W. S. (2007). An energy-efficient multipath routing protocol for wireless sensor networks. International journal of communication systems, 20(7), 747–766.
Al-Karaki, J.N., Kamal. A.E. (2004) Routing Techniques in Wireless Sensor Networks: A Survey. IEEE Wireless Communication Magazine, 11, 6–28.
Yang. J., Sakai, K., Kim, B., Okada, H., Sun. M.T. (2006). Cost-Aware Route Selection in Wireless Mesh Networks. In Mobile Ad-hoc and Sensor Networks. MSN 2006. Lecture Notes in Computer Science, vol. 4325. Springer: Berlin, Heidelberg.
Chen, Y., & Zhao, Q. (2005). On the lifetime of wireless sensor networks. IEEE Communications Letters, 9(11), 976–978.
Texas Instruments, (2019) Chipcon Smart RF CC2420 2.4 GHz IEEE 802.15.4/ZigBee-ready RF Transceiver datasheet.
IEEE (2006). IEEE 802.15.4 Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications for Low-Rate Wireless Personal Area Networks (LR- WPANs).
Chiasserini, C.F., Garetto, M. (2004) Modeling the performance of wireless sensor networks. In 23rd annual joint conference of IEEE Computer and Communication Societies (Infocom) (pp. 220–231).
Ganesan, D., Govindan, R., Shenker, S., & Estrin, D. (2001). Highly-resilient, energy-efficient multipath routing in wireless sensor networks. Mobile Computing and Communication Review, 5, 11–25.
Advance Tech India Pvt. Ltd. (2019) Wireless Sensor Network Manual, available at www.atechindia.com. Accessed 15 January 2019.
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The authors would like to acknowledge the support provided by Adavancetech India Private Limited, which enabled the research upon which this paper is based.
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Gangwar, D.S., Tyagi, S. & Soni, S.K. The Impact of Deployment Pattern and Routing Scheme on the Lifetime in Multi-Sink Wireless Sensor Network. Wireless Pers Commun 117, 971–985 (2021). https://doi.org/10.1007/s11277-020-07906-x
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DOI: https://doi.org/10.1007/s11277-020-07906-x