An Effective Genetic Algorithm-Based Approach to Improve Wireless Sensor Network Fault Tolerance for Multi-hop Surveillance Applications
References
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[12] P. Friess and O. Vermesan, Internet of Things Applications - From Research and Innovation to Market Deployment. river, 2022. doi: 10.1201/9781003338628.
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[14] B. S. Awoyemi, M. C. Hlophe, and B. T. Maharaj, “Resource Management for MEC-Enabled Next-Generation Wireless Sensor Networks,” Feb. 2025, pp. 1–5. doi: 10.1109/wac63911.2025.10992593.
[15] M. S. Abouzeid, H. A. El-Khobby, M. A. A. Ali, and M. E. Nasr, “Joint Noniterative Beamforming Schemes for BER Minimization in Next‐Generation Wireless Sensor Networks,” Journal of Electrical and Computer Engineering, vol. 2025, no. 1, Jan. 2025, doi: 10.1155/jece/5235951.
[16] Z. U. A. Jaffri et al., “TEZEM: A new energy-efficient routing protocol for next-generation wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 18, no. 6, p. 155013292211072, Jun. 2022, doi: 10.1177/15501329221107246.
[17] Z. Ahmed and K. Abu Bakar, “An Enhanced Underwater Linear Wireless Sensor Network Deployment Strategy for Data Collection,” International Journal of Innovative Computing, vol. 8, no. 3, Nov. 2018, doi: 10.11113/ijic.v8n3.195.
[18] A. K. Idrees, K. Deschinkel, M. Salomon, and R. Couturier, “Multiround Distributed Lifetime Coverage Optimization protocol in wireless sensor networks,” The Journal of Supercomputing, vol. 74, no. 5, pp. 1949–1972, Dec. 2017, doi: 10.1007/s11227-017-2203-7.
[19] Z. Wang, Q. Huang, S. Chen, and J. Yu, “Distributed robust neural network adaptive fault-tolerant control for amorphous flattened air-ground wireless self-assembly network system,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 239, no. 1, pp. 46–73, Aug. 2024, doi: 10.1177/09596518241263894.
[20] S. Abba and J.-A. Lee, “An Autonomous Self-Aware and Adaptive Fault Tolerant Routing Technique for Wireless Sensor Networks,” Sensors (Basel, Switzerland), vol. 15, no. 8, pp. 20316–20354, Aug. 2015, doi: 10.3390/s150820316.
[21] T. H. Lim, I. Bate, and J. Timmis, “A self-adaptive fault-tolerant systems for a dependable Wireless Sensor Networks,” Design Automation for Embedded Systems, vol. 18, no. 3–4, pp. 223–250, Jan. 2014, doi: 10.1007/s10617-013-9126-1.
[22] A. Semenov, “Distributed algorithm for nonuniform deployment of the agents on the segment,” Sep. 2021, pp. 168–171. doi: 10.1109/dcna53427.2021.9586888.
[23] Y. Huang, J.-F. Martínez, J. Sendra, and L. López, “The Influence of Communication Range on Connectivity for Resilient Wireless Sensor Networks Using a Probabilistic Approach,” International Journal of Distributed Sensor Networks, vol. 9, no. 9, p. 482727, Sep. 2013, doi: 10.1155/2013/482727.
[25] L. Xing, “Reliability Modeling of Wireless Sensor Networks: A Review,” Recent Patents on Engineering, vol. 15, no. 1, pp. 3–11, Feb. 2021, doi: 10.2174/1872212113666191209091947.
[26] A. Petrovska, S. Kugele, T. Hutzelmann, T. Beffart, S. Bergemann, and A. Pretschner, “Defining adaptivity and logical architecture for engineering (smart) self-adaptive cyber–physical systems,” Information and Software Technology, vol. 147, p. 106866, Jul. 2022, doi: 10.1016/j.infsof.2022.106866.
[27]. H. S. Saini and R. K. Singh, Innovations in Electronics and Communication Engineering. 2022. doi: 10.1007/978-981-16-8512-5.
[28] M. Shyama and A. S. Pillai, “Fault Tolerance strategies for Wireless Sensor Networks – A Comprehensive Survey,” Nov. 2018, vol. 6, pp. 707–711. doi: 10.1109/icict43934.2018.9034298.
[29]. A.-R. Hedar, S. N. Abdulaziz, E. Mabrouk, and G. A. El-Sayed, “Wireless Sensor Networks Fault-Tolerance Based on Graph Domination with Parallel Scatter Search,” Sensors (Basel, Switzerland), vol. 20, no. 12, p. 3509, Jun. 2020, doi: 10.3390/s20123509.
[30] B. M. Angadi, M. S. Kakkasageri, and G. S. Kori, “Topology control scheme for fault tolerance in wireless sensor network,” Oct. 2016, pp. 1355–1360. doi: 10.1109/scopes.2016.7955661.
[31] F. Fan, S.-C. Chu, J.-S. Pan, C. Lin, and H. Zhao, “An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks,” Journal of Applied Statistics, vol. 50, no. 3, pp. 592–609, May 2021, doi: 10.1080/02664763.2021.1929089.
[32] Y. E. E. Ahmed, K. H. Adjallah, and M. B. M. Amin, “3D Virtual Biomimetic Network: a Topology for Resilient Intelligent Wireless Sensor Networks,” Sep. 2019, pp. 1002–1006. doi: 10.1109/idaacs.2019.8924232.
[33] Y. E. E. Ahmed, K. H. Adjallah, S. F. Babikier, and R. Stock, “Reliability Modeling and Monte Carlo-Based Simulation for Optimal Wireless Sensor Networks Lifetime Assessment,” springer, 2019, pp. 69–83. doi: 10.1007/978-3-030-13697-0_6.
[34] Y. E. E. Ahmed, K. H. Adjallah, S. F. Babikier, and R. Stock, “Resiliency assessment of NDSC based lifetime maximization approach for heterogeneous wireless sensor network by Monte Carlo simulation,” Sep. 2017, vol. 9, pp. 374–378. doi: 10.1109/idaacs.2017.8095107.
[35]. H. Alwan and A. Agarwal, “A Survey on Fault Tolerant Routing Techniques in Wireless Sensor Networks,” Jun. 2009, vol. 5, pp. 366–371. doi: 10.1109/sensorcomm.2009.62.
[36] G. Ausiello, G. Gambosi, A. Marchetti-Spaccamela, V. Kann, P. Crescenzi, and M. Protasi, “Complexity and approximation: Combinatorial optimization problems and their approximability properties. Springer Science & Business Media, 2012.
[37] X. Yu, “Introduction to evolutionary algorithms,” Jul. 2010, p. 1. doi: 10.1109/iccie.2010.5668407.
[38] C.-C. Lai, C.-K. Ting, and R.-S. Ko, “An effective genetic algorithm to improve wireless sensor network lifetime for large-scale surveillance applications,” Sep. 2007, pp. 3531–3538. doi: 10.1109/cec.2007.4424930.
[39] Y. E. E. Ahmed, K. H. Adjallah, R. Stock, I. Kacem, and S. F. Babiker, “NDSC based methods for maximizing the lifespan of randomly deployed wireless sensor networks for infrastructures monitoring,” Computers & Industrial Engineering, vol. 115, pp. 17–25, Nov. 2017, doi: 10.1016/j.cie.2017.09.049.
[2] G. Xu, W. Shen, and X. Wang, “Applications of Wireless Sensor Networks in Marine Environment Monitoring: A Survey,” Sensors (Basel, Switzerland), vol. 14, no. 9, pp. 16932–16954, Sep. 2014, doi: 10.3390/s140916932.
[3] Yousif E. E. Ahmed, Modeling, Scheduling and Optimization of Wireless Sensor Networks lifetime, 2016.
[4] C. F. García-Hernández, P. H. Ibargüengoytia-González, J. García-Hernández, and J. A. Pérez-Díaz, “Wireless Sensor Networks and Applications: a Survey,” IJCSNS International Journal of Computer Science and Network Security, vol. 7, no. 3, pp. 264–273, 2007.
[5] P. Agnihotri, S. Tiwari, and D. Mohan, “Design of Air Pollution Monitoring System Using Wireless Sensor Network,” Feb. 2020, pp. 33–38. doi: 10.1109/ice348803.2020.9122796.
[6] A. Lanzolla and M. Spadavecchia, “Wireless Sensor Networks for Environmental Monitoring,” Sensors (Basel, Switzerland), vol. 21, no. 4, p. 1172, Feb. 2021, doi: 10.3390/s21041172.
[7] M. F. Othman and K. Shazali, “Wireless Sensor Network Applications: A Study in Environment Monitoring System,” Procedia Engineering, vol. 41, no. 41, pp. 1204–1210, Jan. 2012, doi: 10.1016/j.proeng.2012.07.302.
[8] Q. Yang, T. Chen, R. Li, and Z. Tian, “The application of intelligent optical sensor networks in industrial automation,” Apr. 2025, p. 14. doi: 10.1117/12.3067322.
[9] M. S. Pragadeswaran, M. S. Madhumitha, and D. S. Gopinath, “Certain Investigations on Military Applications of Wireless Sensor Networks,” International Journal of Advanced Research in Science, Communication and Technology, pp. 14–19, Mar. 2021, doi: 10.48175/ijarsct-819.
[10] M. Ilyas, “Wireless Sensor Networks for Smart Healthcare,” Apr. 2018, vol. 108, pp. 1–5. doi: 10.1109/cais.2018.8442038.
[11] G. Vadivel, M. J. M. Hussain, S. V. Tresa, and S. Sangeetha, “Smart Transportation Systems: IOT-Connected Wireless Sensor Networks for Traffic Congestion Management,” International Journal of Advances in Signal and Image Sciences, vol. 9, no. 1, pp. 40–49, Jun. 2023, doi: 10.29284/ijasis.9.1.2023.40-49.
[12] P. Friess and O. Vermesan, Internet of Things Applications - From Research and Innovation to Market Deployment. river, 2022. doi: 10.1201/9781003338628.
[13] A. Al-Nasser, R. Almesaeed, and H. Al-Junaid, “A Comprehensive Survey on Routing and Security in Mobile Wireless Sensor Networks,” International Journal of Electronics and Telecommunications, pp. 483–496, Jul. 2021, doi: 10.24425/ijet.2021.137838.
[14] B. S. Awoyemi, M. C. Hlophe, and B. T. Maharaj, “Resource Management for MEC-Enabled Next-Generation Wireless Sensor Networks,” Feb. 2025, pp. 1–5. doi: 10.1109/wac63911.2025.10992593.
[15] M. S. Abouzeid, H. A. El-Khobby, M. A. A. Ali, and M. E. Nasr, “Joint Noniterative Beamforming Schemes for BER Minimization in Next‐Generation Wireless Sensor Networks,” Journal of Electrical and Computer Engineering, vol. 2025, no. 1, Jan. 2025, doi: 10.1155/jece/5235951.
[16] Z. U. A. Jaffri et al., “TEZEM: A new energy-efficient routing protocol for next-generation wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 18, no. 6, p. 155013292211072, Jun. 2022, doi: 10.1177/15501329221107246.
[17] Z. Ahmed and K. Abu Bakar, “An Enhanced Underwater Linear Wireless Sensor Network Deployment Strategy for Data Collection,” International Journal of Innovative Computing, vol. 8, no. 3, Nov. 2018, doi: 10.11113/ijic.v8n3.195.
[18] A. K. Idrees, K. Deschinkel, M. Salomon, and R. Couturier, “Multiround Distributed Lifetime Coverage Optimization protocol in wireless sensor networks,” The Journal of Supercomputing, vol. 74, no. 5, pp. 1949–1972, Dec. 2017, doi: 10.1007/s11227-017-2203-7.
[19] Z. Wang, Q. Huang, S. Chen, and J. Yu, “Distributed robust neural network adaptive fault-tolerant control for amorphous flattened air-ground wireless self-assembly network system,” Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, vol. 239, no. 1, pp. 46–73, Aug. 2024, doi: 10.1177/09596518241263894.
[20] S. Abba and J.-A. Lee, “An Autonomous Self-Aware and Adaptive Fault Tolerant Routing Technique for Wireless Sensor Networks,” Sensors (Basel, Switzerland), vol. 15, no. 8, pp. 20316–20354, Aug. 2015, doi: 10.3390/s150820316.
[21] T. H. Lim, I. Bate, and J. Timmis, “A self-adaptive fault-tolerant systems for a dependable Wireless Sensor Networks,” Design Automation for Embedded Systems, vol. 18, no. 3–4, pp. 223–250, Jan. 2014, doi: 10.1007/s10617-013-9126-1.
[22] A. Semenov, “Distributed algorithm for nonuniform deployment of the agents on the segment,” Sep. 2021, pp. 168–171. doi: 10.1109/dcna53427.2021.9586888.
[23] Y. Huang, J.-F. Martínez, J. Sendra, and L. López, “The Influence of Communication Range on Connectivity for Resilient Wireless Sensor Networks Using a Probabilistic Approach,” International Journal of Distributed Sensor Networks, vol. 9, no. 9, p. 482727, Sep. 2013, doi: 10.1155/2013/482727.
[25] L. Xing, “Reliability Modeling of Wireless Sensor Networks: A Review,” Recent Patents on Engineering, vol. 15, no. 1, pp. 3–11, Feb. 2021, doi: 10.2174/1872212113666191209091947.
[26] A. Petrovska, S. Kugele, T. Hutzelmann, T. Beffart, S. Bergemann, and A. Pretschner, “Defining adaptivity and logical architecture for engineering (smart) self-adaptive cyber–physical systems,” Information and Software Technology, vol. 147, p. 106866, Jul. 2022, doi: 10.1016/j.infsof.2022.106866.
[27]. H. S. Saini and R. K. Singh, Innovations in Electronics and Communication Engineering. 2022. doi: 10.1007/978-981-16-8512-5.
[28] M. Shyama and A. S. Pillai, “Fault Tolerance strategies for Wireless Sensor Networks – A Comprehensive Survey,” Nov. 2018, vol. 6, pp. 707–711. doi: 10.1109/icict43934.2018.9034298.
[29]. A.-R. Hedar, S. N. Abdulaziz, E. Mabrouk, and G. A. El-Sayed, “Wireless Sensor Networks Fault-Tolerance Based on Graph Domination with Parallel Scatter Search,” Sensors (Basel, Switzerland), vol. 20, no. 12, p. 3509, Jun. 2020, doi: 10.3390/s20123509.
[30] B. M. Angadi, M. S. Kakkasageri, and G. S. Kori, “Topology control scheme for fault tolerance in wireless sensor network,” Oct. 2016, pp. 1355–1360. doi: 10.1109/scopes.2016.7955661.
[31] F. Fan, S.-C. Chu, J.-S. Pan, C. Lin, and H. Zhao, “An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks,” Journal of Applied Statistics, vol. 50, no. 3, pp. 592–609, May 2021, doi: 10.1080/02664763.2021.1929089.
[32] Y. E. E. Ahmed, K. H. Adjallah, and M. B. M. Amin, “3D Virtual Biomimetic Network: a Topology for Resilient Intelligent Wireless Sensor Networks,” Sep. 2019, pp. 1002–1006. doi: 10.1109/idaacs.2019.8924232.
[33] Y. E. E. Ahmed, K. H. Adjallah, S. F. Babikier, and R. Stock, “Reliability Modeling and Monte Carlo-Based Simulation for Optimal Wireless Sensor Networks Lifetime Assessment,” springer, 2019, pp. 69–83. doi: 10.1007/978-3-030-13697-0_6.
[34] Y. E. E. Ahmed, K. H. Adjallah, S. F. Babikier, and R. Stock, “Resiliency assessment of NDSC based lifetime maximization approach for heterogeneous wireless sensor network by Monte Carlo simulation,” Sep. 2017, vol. 9, pp. 374–378. doi: 10.1109/idaacs.2017.8095107.
[35]. H. Alwan and A. Agarwal, “A Survey on Fault Tolerant Routing Techniques in Wireless Sensor Networks,” Jun. 2009, vol. 5, pp. 366–371. doi: 10.1109/sensorcomm.2009.62.
[36] G. Ausiello, G. Gambosi, A. Marchetti-Spaccamela, V. Kann, P. Crescenzi, and M. Protasi, “Complexity and approximation: Combinatorial optimization problems and their approximability properties. Springer Science & Business Media, 2012.
[37] X. Yu, “Introduction to evolutionary algorithms,” Jul. 2010, p. 1. doi: 10.1109/iccie.2010.5668407.
[38] C.-C. Lai, C.-K. Ting, and R.-S. Ko, “An effective genetic algorithm to improve wireless sensor network lifetime for large-scale surveillance applications,” Sep. 2007, pp. 3531–3538. doi: 10.1109/cec.2007.4424930.
[39] Y. E. E. Ahmed, K. H. Adjallah, R. Stock, I. Kacem, and S. F. Babiker, “NDSC based methods for maximizing the lifespan of randomly deployed wireless sensor networks for infrastructures monitoring,” Computers & Industrial Engineering, vol. 115, pp. 17–25, Nov. 2017, doi: 10.1016/j.cie.2017.09.049.
Published
2026-06-22
How to Cite
AHMED, Yousif E.E.; BABIKIR, Gais Alhadi.
An Effective Genetic Algorithm-Based Approach to Improve Wireless Sensor Network Fault Tolerance for Multi-hop Surveillance Applications.
Gezira Journal of Engineering and Applied Sciences, [S.l.], v. 18, n. 1, p. 1-7, june 2026.
ISSN 1858-5698. Available at: <http://journals.uofg.edu.sd/index.php/gjeas/article/view/2579>. Date accessed: 30 june 2026.
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