Wireless sensor networks (WSNs) gain popularity owing to their capability to access remote areas hard to be reached. Given that, the energy consumption with multi-hop transmission will be a major issue, and how to manage the energy of sensor node becomes the focus of research, attracting many works proposed to save the energy consumption when sensors send data to a sink node. Apart from the previous works, we propose here a Multi-hop in Clustering with Mobility (MCM) model and compare its energy usage with that of other techniques on multi-hop, clustering, mobility, and direct transmission. Through the simulation study conducted, we show that this work can shed light on choosing a good approach to minimize the energy utilization of the sensor node in WSNs.
This is a preview of subscription content, access via your institution.
Buy single article
Instant access to the full article PDF.
Tax calculation will be finalised during checkout.
Subscribe to journal
Immediate online access to all issues from 2019. Subscription will auto renew annually.
Tax calculation will be finalised during checkout.
Ponnusamy, V. (2014). Energy Analysis in Wireless Sensor Network: A Comparison. International Journal of Computer Networks and Communications Security, 2(9), 328–338.
Al-Karaki, J. N., & Kamal, A. E. (2004). Routing Techniques in Wireless Sensor Networks: A Survey. IEEE Wireless Communications, 11(6), 6–28.
Gomez, J., Campbell, A. T., Naghshineh, M., & Bisdikian, C. (2003). PARO: Supporting Dynamic Power Controlled Routing in Wireless Ad Hoc Networks. Wireless Networks, 9(5), 443–460.
Dong, Q., Banerjee, S., Adler, M., and Misra, A. (2005). “Minimum Energy Reliable Paths Using Unreliable Wireless Links,” Proceedings of ACM MobiHoc, pp. 449–459.
Li, X.-Y., Wang, Y., Chen, H., Chu, X., Wu, Y., & Qi, Y. (2009). Reliable and Energy-Efficient Routing for Static Wireless Ad Hoc Networks with Unreliable Links. IEEE Transactions on Parallel and Distributed Systems, 20(10), 1408–1421.
Li, X., Chen, H., Shu, Y., Chu, X., and Wu, Y-W. (2006) “Energy Efficient Routing with Unreliable Links in Wireless Networks,” Proceedings of IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS ’06), pp. 160–169
Mohanoor, A. B., Radhakrishnan, S., & Sarangan, V. (2009). Online Energy-Aware Routing in Wireless Networks. Ad Hoc Networks, 7(5), 918–931.
Vergados, D. J., Pantazis, N. A., & Vergados, D. D. (2008). Energy-Efficient Route Selection Strategies for Wireless Sensor Networks. Mobile Networks and Applications, 13(3–4), 285–296.
Vazifehdan, J., Prasad, R. V., & Niemegeers, I. (2014). Energy-Efficient Reliable Routing Considering Residual Energy in Wireless Ad Hoc Networks. IEEE Transactions on Mobile Computing, 13(2), 434–447.
Liu. J. S., and Lin, C. H.(2003) “Power-efficiency Clustering Method with Power-limit Constraint for Sensor Networks,” Proceedings of the 2003 IEEE International Performance, Computing, and Communications Conference, 2003, Phoenix, AZ, USA, pp. 129–136.
Liu, J. S., & Lin, C. H. (2005). Energy-efficiency Clustering Protocol in Wireless Sensor Networks. Ad Hoc Networks, 3(3), 371–388.
Sha, K., Du, J., Shi, W. (2005) “Wear: A Balanced, Fault-tolerant, Energy-aware Routing Protocol for Wireless Sensor Networks,” Technical Report MIST-TR-2005–001.Wayne State University, Detroit
Yu, Y., Govindan, R., Estrin, D. (2001).“Geographical and Energy-Aware Routing: A Recursive Data Dissemination Protocol for Wireless Sensor Networks,” UCLA Computer Science Department. Technical Report, UCLA CSD TR-01–0023
Akkaya, K., Younis, M. (2004) “Energy-Aware Routing to a Mobile Gateway in Wireless Sensor Networks,” Proceedings of the IEEE Global Telecommunications Conference Workshops, Dallas, TX
Chen, P., O’Dea, B., Callaway, E. (2002) “Energy Efficient System Design with Optimum Transmission Range for Wireless Ad-hoc Networks,” Proceedings of the 2002 IEEE international conference on communications, vol. 2, New York, USA, pp. 945–52
Liang, W., Schweitzer, P., & Xu, Z. (2013). Approximation Algorithms for Capacitated Minimum Forest Problems in Wireless Sensor Networks with a Mobile Sink. IEEE Transactions on Computers, 62(10), 1932–1944.
Kumar, K. V., Jayasankar, T., Eswaramoorthy, V., & Nivedhitha, V. (2020). SDARP: Security based Data Aware Routing Protocol for ad hoc sensor networks. International Journal of Intelligent Networks, 1, 36–42.
Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., & Wang, Z. M. (2008). Controlled Sink Mobility for Prolonging Wireless Sensor Networks Lifetime. Wireless Networks, 14(6), 831–858.
Nikolidakis, S. A., Kandis, D., Vergados, D. D., & Douligeris, C. (2015). Energy Efficient Automated Control of Irrigation in Agriculture by Using Wireless Sensor Networks. Comput. Electron. Agric., 113, 154–163.
Yadav, R., Kumar, V., and Kumar, R. (2015) “Energy-Efficient Hybrid Clustering Protocol for Multilevel Heterogeneous Wireless Sensor Network,” Proceedings of the 2014 IEEE International Conference on Computer and Communications Technologies (ICCCT), pp. 1–5, 2014.
Kho, K. K., Bissessur, Y., & Goolaub, D. S. (2020). An Inland Wireless Sensor Network System for Monitoring Seismic Activity. Future Generation Computer Systems, 105, 520–532.
Zhao, Y., Wu, J., Li, F., & Lu, S. (2012). On maximizing the lifetime of wireless sensor networks using virtual backbone scheduling. “IEEE transactions on parallel and distributed systems,” 23(8), 1528–1535.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Raj, S.N., Bhattacharyya, D., Midhunchakkaravarthy, D. et al. Multi-hop in Clustering with Mobility Protocol to Save the Energy Utilization in Wireless Sensor Networks. Wireless Pers Commun (2021). https://doi.org/10.1007/s11277-021-08078-y