Comparative Study on Clustering Approach Based Data Routing

Comparative Study on Clustering Approach Based Data Routing

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© 2022 by IJETT Journal
Volume-70 Issue-2
Year of Publication : 2022
Authors : Kanu Patel, Hardik Modi
DOI :  10.14445/22315381/IJETT-V70I2P234

How to Cite?

Kanu Patel, Hardik Modi, "Comparative Study on Clustering Approach Based Data Routing," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 302-309, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I2P234

Abstract
Wireless sensor network is wieldy used for IoT applications. The sensor node considers a physical device in IoT architecture. All sensor nodes are operated with a battery, so the power consumption is very high during the data communication and lows while sensing the environment. Without proper planning of data communication, the network might be dead very early, so the primary objective of the cluster-based routing protocol is to enhance the battery life and run the application for a longer time. In this paper, we have comprehensive twenty research papers related to clustering based routing protocol. We have taken basic information, network simulation parameters and performance parameters for the comparison. In particular, we have taken clustering manner, node deployment, scalability, data aggregation, power consumption, and implementation cost many more points for the comparison of all 20 protocols. Along with basic information, we also consider the network simulation parameters like the number of nodes, simulation time, simulator name, initial energy and communication range as well energy consumption, throughput, network lifetime, packet delivery ratio, jitter and fault tolerance parameters about the performance parameters. Finally, we have summarized the technical aspect, and a few common parameters must be fulfilled or considered for the design of an energy-efficient cluster-based routing protocol.

Keywords
Internet of Things (IoT), wireless sensor networks (WSN), Clustering, Routing protocol, Energy consumption.

Reference
[1] J. A. Stankovic, Research Directions for the Internet of Things, IEEE Internet of Things Journal, 1(1) (2014) 3–9.
[2] J. Chase, The evolution of the internet of things, Texas Instruments, (2013).
[3] M. Kocakulak, and I. Butun, An Overview of Wireless Sensor Networks towards an Internet of Things, (2017). IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), (2017) 1-6.
[4] J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, Internet of Things (IoT): A vision, architectural elements, and future directions, Futur. Gener. Comput. Syst., 29(7) (2013) 1645–1660.
[5] I. Jawhar, N. Mohamed, J. Al-Jaroodi, D. P. Agrawal, and S. Zhang, Communication and networking of UAV-based systems: Classification and associated architectures, J. Netw. Comput. Appl., 84 (2017) 93108.
[6] Sustainable Wireless Sensor Networks; Seah, W., Tan, Y. Eds.; InTech Open Access Publisher: Rijeka, Croatia, (2010).
[7] Li, C.; Zhang, H.X.; Hao, B.B.; Li, J.D. A survey on routing protocols for large-scale wireless sensor networks. Sensors., 11 (2011) 3498–3526
[8] S. Lin, J. Zhang, G. Zhou, L. Gu, J. A. Stankovic, and T. He, Adaptive Transmission Power Control for Wireless Sensor Networks, Proceedings of the 4th international conference on Embedded networked sensor systems, (2006) 223–236.
[9] M. C. M. Thein and T. Thein, An energy-efficient cluster-head selection for wireless sensor networks, in Intelligent systems, modelling and simulation (ISMS), 2010 international conference on, (2010) 287–291.
[10] P. Nayak and A. Devulapalli, A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime, in IEEE Sensors Journal, 16(1) (2016) 137-144. doi: 10.1109/JSEN.2015.2472970.
[11] X. Li, F. Zhou and J. Du, "LDTS: A Lightweight and Dependable Trust System for Clustered Wireless Sensor Networks," in IEEE Transactions on Information Forensics and Security, 8(6) (2013) 924-935. doi: 10.1109/TIFS.2013.2240299.
[12] L. A. Villas, A. Boukerche, H. S. Ramos, H. A. B. F. de Oliveira, R. B. de Araujo and A. A. F. Loureiro, DRINA: A Lightweight and Reliable Routing Approach for In-Network Aggregation in Wireless Sensor Networks, in IEEE Transactions on Computers, 62(4) (2013) 676-689. doi: 10.1109/TC.2012.31.
[13] J. RejinaParvin and C. Vasanthanayaki,
[14] Particle Swarm Optimization-Based Clustering by Preventing Residual Nodes in Wireless Sensor Networks, in IEEE Sensors Journal, 15(8) (2015) 4264-4274. doi: 10.1109/JSEN.2015.2416208.
[15] H. Lin, L. Wang and R. Kong, Energy Efficient Clustering Protocol for Large-Scale Sensor Networks, in IEEE Sensors Journal, 15(12) (2015) 7150-7160.doi: 10.1109/JSEN.2015.2471843.
[16] Y. Zhou, N. Wang and W. Xiang, Clustering Hierarchy Protocol in Wireless Sensor Networks Using an Improved PSO Algorithm, in IEEE Access, 5 (20170 2241-2253. doi: 10.1109/ACCESS.2016.2633826.
[17] S. Ganesh and R. Amutha, Efficient and secure routing protocol for wireless sensor networks through SNR based dynamic clustering mechanisms, in Journal of Communications and Networks, 15(4) (2013) 422-429.doi: 10.1109/JCN.2013.000073.
[18] W. Zhang, L. Li, G. Han and L. Zhang, E2HRC: An Energy-Efficient Heterogeneous Ring Clustering Routing Protocol for Wireless Sensor Networks, in IEEE Access, 5 (2017) 1702-1713. doi: 10.1109/ACCESS.2017.2666818
[19] T. M. Behera, S. K. Mohapatra, U. C. Samal, M. S. Khan, M. Daneshmand and A. H. Gandomi, Residual Energy-Based Cluster-Head Selection in WSNs for IoT Application, in IEEE Internet of Things Journal, 6(3) (2019) 5132-5139. doi: 10.1109/JIOT.2019.2897119.
[20] Y. Dong, J. Wang, B. Shim and D. I. Kim, DEARER: A Distance-and-Energy-Aware Routing With Energy Reservation for Energy Harvesting Wireless Sensor Networks, in IEEE Journal on Selected Areas in Communications, 34(12) (2016) 3798-3813. doi: 10.1109/JSAC.2016.2621378.
[21] H. El Alami and A. Najid, ECH: An Enhanced Clustering Hierarchy Approach to Maximize Lifetime of Wireless Sensor Networks, in IEEE Access, 7 (2019) 107142-107153. doi: 10.1109/ACCESS.2019.2933052
[22] J. Shen, A. Wang, C. Wang, P. C. K. Hung and C. Lai, An Efficient Centroid-Based Routing Protocol for Energy Management in WSN-Assisted IoT, in IEEE Access, 5 (2017) 18469-18479. doi: 10.1109/ACCESS.2017.2749606.
[23] F. A. Khan, M. Khan, M. Asif, A. Khalid and I. U. Haq, Hybrid and Multi-Hop Advanced Zonal-Stable Election Protocol for Wireless Sensor Networks, in IEEE Access, 7 (2019) 25334-25346. doi: 10.1109/ACCESS.2019.2899752.
[24] S. A. Sert, A. Alchihabi and A. Yazici, A Two-Tier Distributed Fuzzy Logic Based Protocol for Efficient Data Aggregation in Multihop Wireless Sensor Networks, in IEEE Transactions on Fuzzy Systems, 26(6) (2018) 3615-3629. doi: 10.1109/TFUZZ.2018.2841369.
[25] Q. Wang, D. Lin, P. Yang and Z. Zhang, An Energy-Efficient Compressive Sensing-Based Clustering Routing Protocol for WSNs, in IEEE Sensors Journal, 19(10) (2019) 3950-3960. doi: 10.1109/JSEN.2019.2893912.
[26] M. Faheem, G. Tuna and V. C. Gungor, QERP: Quality-of-Service (QoS) Aware Evolutionary Routing Protocol for Underwater Wireless Sensor Networks, in IEEE Systems Journal, 12(3) (2018) 2066-2073. doi: 10.1109/JSYST.2017.2673759.
[27] J. Lin, P. R. Chelliah, M. Hsu and J. Hou, Efficient Fault-Tolerant Routing in IoT Wireless Sensor Networks Based on Bipartite-Flow Graph Modeling, in IEEE Access, 7 (2019) 14022-14034. doi: 10.1109/ACCESS.2019.2894002.
[28] A. Khan, F. Aftab and Z. Zhang., BICSF: Bio-Inspired Clustering Scheme for FANETs, in IEEE Access, 7 (2019) 31446-31456. doi: 10.1109/ACCESS.2019.2902940.
[29] S. M. M. H. Daneshvar, P. AlikhahAhariMohajer and S. M. Mazinani, Energy-Efficient Routing in WSN: A Centralized Cluster-Based Approach via Grey Wolf Optimizer, in IEEE Access, 7 (2019) 170019-170031.doi: 10.1109/ACCESS.2019.2955993.
[30] T. M. Behera, S. K. Mohapatra, U. C. Samal, M. S. Khan, M. Daneshmand and A. H. Gandomi, I-SEP: An Improved Routing Protocol for Heterogeneous WSN for IoT-Based Environmental Monitoring., in IEEE Internet of Things Journal, 7(1) (2020) 710-717. doi: 10.1109/JIOT.2019.2940988.