Performance Analysis and Evaluation of a Multi-Hop Routing Protocol for Wireless Multimedia Sensor Networks
Main Article Content
Abstract
Researchers in wireless multimedia sensor networks (WMSNs) are constantly interested in designing and developing energy-efficient routing protocols. Numerous clustering routing protocols have been developed in recent years to overcome the limitation of consuming less energy and prolong the lifetime of sensor nodes in homogeneous and heterogeneous WMSNs. Existing approaches depend on single-hope communication, in which sensor nodes consume more energy and die faster. Inter-communication nodes can play an important role in reducing energy by transmitting data in a multi-hope fashion to the sink. An energy-efficient multi-path clustering with load balancing routing protocol for wireless multimedia sensor networks (EEMCL) is proposed in this study. In this protocol, the main cluster heads (MCHs) are preselected in each network cluster and filled with more energy than normal sensor nodes. The two secondary cluster heads (SCHs) with the highest energy nodes will be selected by the main cluster head algorithm. Moreover, inter-cluster multi-hop routing with the help of MCHs can enhance the network lifetime when the sink is located at the corner of the sensing field. The simulation results verify that the proposed multi-hop technique provides better performance than existing LEACH, LEACH-C, SEEN, and IEE-LEACH routing protocols in scenario 1 and when compared with CPMA in scenario 2. The last node dead (LND) for the proposed protocol is at round 5721, 2225 for LEACH, 2300 for LEACH-C, 2900 for SEEN, and 3160 for IEE−LEACH in scenario 1, while in scenario 2, the LND for the proposed protocol is at round 3820 and 435 for the CPMA routing protocol.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
- Creative Commons Copyright License
The journal allows readers to download and share all published articles as long as they properly cite such articles; however, they cannot change them or use them commercially. This is classified as CC BY-NC-ND for the creative commons license.
- Retention of Copyright and Publishing Rights
The journal allows the authors of the published articles to hold copyrights and publishing rights without restrictions.
References
J. Yick, B. Mukherjee, and D. Ghosal, “Wireless sensor network survey,” Computer Networks, vol. 52, no. 12, pp. 2292–2330, Aug. 2008.
I. T. Almalkawi, M. G. Zapata, J. N. Al-Karaki, and J. Morillo-Pozo, “Wireless multimedia sensor networks: Current trends and future directions,” Sensors, vol. 10, no. 7, pp. 6662–6717, Jul. 2010.
A. Jayashree, G. S. Biradar, and V. D. Mytri, “Review of multipath routing protocols in wireless multimedia sensor network –a survey,” International Journal of Scientific & Engineering Research, vol. 3, no. 9, pp. 1–9, Sep. 2012.
W. Xinhua and W. Sheng, “Performance comparison of LEACH and LEACH-C protocols by NS2,” in 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science, 2010, pp. 254–258.
S. Gupta and K. C. Roy, “Comparison of different energy minimization techniques in wireless sensor network,” International Journal of Computer Applications, vol. 75, no. 18, pp. 20–26, Aug. 2013.
D. Zhang, G. Li, K. Zheng, X. Ming, and Z.-H. Pan, “An energy-balanced routing method based on forward-aware factor for wireless sensor networks,” IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 766–773, Feb. 2014.
N. A. Pantazis, S. A. Nikolidakis, and D. D. Vergados, “Energy-efficient routing protocols in wireless sensor networks: A survey,” IEEE Communications Surveys & Tutorials, vol. 15, no. 2, pp. 551–591, 2013.
P. G. V. Naranjo, M. Shojafar, H. Mostafaei, Z. Pooranian, and E. Baccarelli, “P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks,” The Journal of Supercomputing, vol. 73, no. 2, pp. 733–755, Feb. 2017.
H. Mostafaei, A. Montieri, V. Persico, and A. Pescapé, “A sleep scheduling approach based on learning automata for WSN partialcoverage,” Journal of Network and Computer Applications, vol. 80, pp. 67–78, Feb. 2017.
H. Mostafaei, “Stochastic barrier coverage in wireless sensor networks based on distributed learning automata,” Computer Communications, vol. 55, pp. 51–61, Jan. 2015.
A. A. Aziz, Y. A. Sekercioglu, P. Fitzpatrick, and M. Ivanovich, “A survey on distributed topology control techniques for extending the lifetime of battery powered wireless sensor networks,” IEEE Communications Surveys & Tutorials, vol. 15, no. 1, pp. 121–144, 2013.
M. Samanta and I. Banerjee, “Optimal load distribution of cluster head in fault-tolerant wireless sensor network,” in 2014 IEEE Students’ Conference on Electrical, Electronics and Computer Science, 2014.
R. V. Biradar, S. R. Sawant, R. R. Mudholkar, and V. C. Patil, “Multihop routing in self-organizing wireless sensor networks,” International Journal of Computer Science Issues, vol. 8, no. 1, pp. 155–164, Jan. 2011.
V. Bhandary, A. Malik, and S. Kumar, “Routing in wireless multimedia sensor networks: A survey of existing protocols and open research issues,” Journal of Engineering, vol. 2016, pp. 1–27, 2016.
W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks,” in Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, 2000.
S. Shi, X. Liu, and X. 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.
D. Mahmood, N. Javaid, S. Mahmood, S. Qureshi, A. Memon, and T. Zaman, “MODLEACH: A variant of LEACH for WSNs,” in 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications, 2013, pp. 158–163.
R. Priyadarshi, L. Singh, A. Singh, and A. Thakur, “SEEN: Stable energy efficient network for wireless sensor network,” in 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN), 2018, pp. 338–342.
Y. Liu, Q. Wu, T. Zhao, Y. Tie, F. Bai, and M. Jin, “An improved energy-efficient routing protocol for wireless sensor networks,” Sensors, vol. 19, no. 20, 2019, Art. no. 4579.
B. M. Acharya and A. K. Nayak, “Hierarchical multi path routing protocol for wireless multimedia sensor networks,” International Journal of Intelligent Engineering and Systems, vol. 11, no. 1, pp. 239–247, 2018.
A. Genta, D. K. Lobiyal, and J. H. Abawajy, “Energy efficient multipath routing algorithm for wireless multimedia sensor network,” Sensors, vol. 19, no. 17, 2019, Art. no. 3642.
A. Rodríguez, C. Del-Valle-Soto, and R. Velázquez, “Energy-efficient clustering routing protocol for wireless sensor networks based on yellow saddle goatfish algorithm,” Mathematics, vol. 8, no. 9, Sep. 2020, Art. no. 1515.