Energy Efficient Sensor Node Deployment Scheme for Two Stage Routing Protocol of Wireless Sensor Networks assisted IoT
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Published:
Aug 16, 2020
Keywords:
Cluster Head Golden Ratio Network Lifetime Node Deployment Internet of Things
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Abstract
Now a day wireless sensor networks (WSNs) is an essential unit of the internet of things (IoT). IoT theater a vital role in real-time applications which is more useful in real life. Due to its small price and potential use, WSNs have shown importance in different applications over the past year. Health concerns, environmental observation, human protection, military operations, surveillance systems, etc. WSNs have a small device called a sensor node (SN) that has a limited battery. IoT based WSNs consume more energy in sensor node communication. Therefore a Novel energy-efficient sensor node deployment scheme for two-stage routing protocol (EE- DSTRP) has been proposed to reduce the energy consumption of sensor nodes and extend the lifetime of the network. Sensor node deployment is a novel approach based on the golden ratio. All traditional protocols divide network zones for communication. No existing protocols tell about the sensor node deployment ratio in each zone. The deployment method is an important factor in reducing the energy usage of a network. To validate its efficiency, in this article, simulation results prove that the proposed IoT based EE-DSTRP protocol is superior to other existing protocols.
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Kumar Dwivedi, A., Kumar Sharma, A., & Singh Mehra, P. (2020). Energy Efficient Sensor Node Deployment Scheme for Two Stage Routing Protocol of Wireless Sensor Networks assisted IoT. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 18(2), 158–169. https://doi.org/10.37936/ecti-eec.2020182.240541
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[18] J. M. M. Neto, A. da S. Rego, A. L. H. Cardoso, and J. C. Júnior, “MH-LEACH: A Distributed Algorithm for Multi-Hop Communication in Wireless Sensor Networks.” 2014.
[19] S. Vinodh Kumar and A. Pal, “Assisted-Leach (A-Leach) Energy Efficient Routing Protocol for Wireless Sensor Networks,” Int. J. Comput. Commun. Eng., pp. 420–424, 2013.
[20] Z. A. Khan, “Advanced Zonal Rectangular LEACH (AZR-LEACH): An Energy Efficient Routing Protocol For Wireless Sensor Networks.” 2012.
[21] Shuo Shi, Xinning Liu, and Xuemai Gu, “An energy-efficiency Optimized LEACH-C for wireless sensor networks,” in 7th International Conference on Communications and Networking in China, 2012, pp. 487–492.
[22] M. O. Farooq, A. B. Dogar, and G. A. Shah, “MR-LEACH: Multi-hop routing with low energy adaptive clustering hierarchy,” in Proceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010, 2010, pp. 262–268.
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[26] H. S. Sharma and M. Goyal, “Multi-hop Routing SEP (MR-SEP) for clustering in wireless sensor Network,” 2014.
[27] M. M. Islam, M. A. Matin, and T. K. Mondol, “Extended Stable Election Protocol (SEP) for three-level hierarchical clustered heterogeneous WSN,” in IET Conference on Wireless Sensor Systems (WSS 2012), 2012, pp. 4B3-4B3.
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[29] O. Zytoune, Y. Fakhri, and D. Aboutajdine, “A Balanced Cost Cluster-Heads Selection Algorithm for Wireless Sensor Networks,” Int. J. Electron. Commun. Eng., vol. 3, no. 4, pp. 761–764, 2009.
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[31] F. Hu and X. Cao, Wireless sensor networks : principles and practice. CRC Press, 2010.
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[35] P. Mehra, M. Doja, and B. Alam, “Stability Enhancement in LEACH (SE-LEACH) for Homogeneous WSN,” ICST Trans. Scalable Inf. Syst., vol. 0, no. 0, p. 156592, Jul. 2018.
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[38] A. K. Dwivedi, “EE-LEACH: Energy Enhancement in LEACH to Improve Network Life Time of Homogeneous Wireless Sensor Network,” Law, State Telecommun. Rev., vol. 12, no. 1, pp. 205–224, Mar. 2020.
[39] S. MAO and C. ZHAO, “Unequal clustering algorithm for WSN based on fuzzy logic and improved ACO,” J. China Univ. Posts Telecommun., vol. 18, no. 6, pp. 89–97, Dec. 2011.
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