Abstract
Multi-hop Wireless Sensor networks are designed for various real-time applications, and it should be appropriately designed to avoid delivery congestion between linked nodes. For efficient transmission with minimum energy, our proposed work introduces a novel optimized method based on the congestion management algorithm. In our approach based congestion control algorithm was based on the cluster-based routing, since the energy consumption was effectively reduced throughout the network. Since it has to improve network lifetime for a plentiful simulation period, the delivery control process also reduces the access delay. Initially, cluster the nodes with the k means algorithm. After that focusing on the delivery control using Kalman Filter strategy, and this is suitable for minimum access-delay prediction. Finally, the delivery with high efficiency using optimized routing. The experimental results are implemented on the Windows platform, and the performances outperform average throughput, average packet loss, packet delivery ratio, energy-consuming, and system reliability.
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References
Le, T.N., Pegatoquet, A., Berder, O., Sentieys, O.: Energy-efficient power manager and MAC protocol for multi-hop wireless sensor networks powered by periodic energy harvesting sources. IEEE Sens. J. 15(12), 7208–7220 (2015)
Ray, A., De, D.: Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm for enhanced network lifetime in wireless sensor network. IET Wirel. Sens. Syst. 6(6), 181–191 (2016)
Cengiz, K., Dag, T.: Energy aware multi-hop routing protocol for WSNs. IEEE Access 6, 2622–2633 (2018)
Fawzy, A.E., Shokair, M., Saad, W.: Balanced and energy-efficient multi-hop techniques for routing in wireless sensor networks. IET Netw. 7(1), 33–43 (2018)
Ari, D., Cibuk, M., Aggun, F.: The comparison of energy consumption of different topologies in multi-hop wireless sensor networks. In: 2018 International Conference on Artificial Intelligence and Data Processing, pp. 1–5. IEEE, Malatya (2018)
Chattopadhyay, A., Mitra, U.: Active sensing for Markov chain tracking. In: 2018 IEEE Global Conference on Signal and Information Processing, pp. 1050–1054. IEEE, Anaheim (2018)
Yang, X., Liu, T., Deng, D.: Inter-cluster multi-hop routing algorithm based on K-means. In: 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference, pp. 1296–1301. IEEE, Chongqing (2018)
Upadhyay, D., Dubey, A.K., Santhi Thilagam, P.: An energy-efficient static multi-hop (ESM) routing protocol for wireless sensor network in agriculture. In: 2018 2nd International Conference on Micro-Electronics and Telecommunication Engineering, pp. 277–280. IEEE, Ghaziabad (2018)
Tao, L., Zhang, X., Dai, Z.: A frame prioritization based on classified contentions in multi-hop wireless Ad hoc networks. In: 2018 IEEE 4th International Conference on Computer and Communications, pp. 435–439. IEEE, Chengdu (2018)
Huang, H., Huang, F., Li, C., Yuan, X., Zhai, X., Hao, J.: A perturbed compressed sensing based authentication mechanism in multi-hop wireless sensor networks. In: 2018 IEEE Symposium on Product Compliance Engineering-Asia (ISPCE-CN), pp. 1–5. IEEE, Shenzhen (2018)
Gao, F., Wen, H., Zhao, L., Chen, Y.: Design and optimization of a cross-layer routing protocol for multi-hop wireless sensor networks. In: 2013 International Conference on Sensor Network Security Technology and Privacy Communication System, pp. 5–8. IEEE, Nangang (2013)
Al Rasyid, M.U.H., Saputra, F.A., Ismar, M.R.: Performance of multi-hop networks using beacon and non-beacon scheduling in wireless sensor network (WSN). In: 2015 International Electronics Symposium (IES), pp. 195–199. IEEE, Surabaya (2015)
Choi, H., Park, S., Cho, H.: Enhancement of technologies of GTS utilization for QoS guarantee in multi-hop wireless sensor networks based on IEEE 802.15.4. In: 2015 International SoC Design Conference (ISOCC), pp. 269–270. IEEE, Gyungju (2015)
Buranapanichkit, D.: Study of expected delay of multi-hop desynchronization for wireless sensor networks. In: 2016 IEEE Region 10 Conference (TENCON), pp. 1334–1337. IEEE, Singapore (2016)
Sethu Lakshmi, P., Jibukumar, M.G., Neenu, V.S.: Network lifetime enhancement of multi-hop wireless sensor network by RF energy harvesting. In: 2018 International Conference on Information Networking (ICOIN), pp. 738–743. IEEE, Chiang Mai (2018)
Bestavros, A.: An adaptive information dispersal algorithm for time-critical reliable communication. Netw. Manage. Control 2, 423–438 (1995)
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, CL., Chiang, DJ. (2020). Efficient Deployment Based on Congestion Control Delivery in Multi-hop Wireless Sensor Network. In: Deng, DJ., Pang, AC., Lin, CC. (eds) Wireless Internet. WiCON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-030-52988-8_2
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DOI: https://doi.org/10.1007/978-3-030-52988-8_2
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