Document Type : Reseach Article
Authors
1 Ladoke Akintola University of Technology, Department of Electronic and Electrical Engineering, Ogbomoso, Nigeria
2 Ladoke Akintola University of Technology, Open Distance Learning, Ogbomoso, Nigeria
3 The Polytechnic Ibadan, Department of Electronic and Electrical Engineering, Ibadan, Nigeria
Abstract
Wireless Mesh Networks (WMNs) offer a promising approach to pervasive communication with efficient network coverage using minimal infrastructure. However, current WMN routing protocols are inefficient due to high energy consumption. This is caused by limited battery life of nodes, uneven distribution of traffic (load imbalance), and long data transmission distances, all of which shorten network lifetime. This paper proposes a new routing protocol for WMNs called Modified Chicken Swarm Optimization-based Efficient Cluster Head Selection (MCSO-ECHS). MCSO-ECHS leverages the network gateway to select optimal Cluster Heads (CHs). An objective function, considering both residual energy and node distance, is used for CH selection. The MCSO algorithm then refines the selection process to ensure balanced energy consumption among these energy-constrained nodes. This approach prolongs the network lifetime and improves overall energy efficiency. Simulation results demonstrate that MCSO-ECHS outperforms existing protocols in terms of energy consumption, network lifetime, throughput, end-to-end delay and packet delivery ratio, significantly enhancing the energy efficiency of WMNs.
- S. N. Mahapatra, B. K. Singh, and V. Kumar, “A secure multi-hop relay node selection scheme-based data transmission in wireless ad-hoc network via blockchain”. Multimed. Tools Appl., 81: 18343–18373, 2022. H. Wang, K. Liu, C. Wang and H. Hu, "Energy-efficient cluster-based routing protocol for wireless sensor networks using fuzzy logic and quantum annealing algorithm". Sensors, 24(410): 1-22, 2024.
- H. Wang, K. Liu, C. Wang and H. Hu, "Energy-efficient cluster-based routing protocol for wireless sensor networks using fuzzy logic and quantum annealing algorithm". Sensors, 24(410): 1-22, 2024. A. Adekiigbe, and K. A. Bakar, “Implementing congestion avoidance mechanism in cluster-based routing protocol for wireless mesh client networks”. Wirel. Pers. Commun., 81(2): 725-743, 2015.
- A. Adekiigbe, and K. A. Bakar, “Implementing congestion avoidance mechanism in cluster-based routing protocol for wireless mesh client networks”. Wirel. Pers. Commun., 81(2): 725-743, 2015. A. Mehmood, S. Khan, B. Shams, and J. Lloret, “Energy-efficient multi-level and distance-aware clustering mechanism for WSNs”. Int. J. of Commun. Syst., 28(5): 972–989, 2015.
- A. Mehmood, S. Khan, B. Shams, and J. Lloret, “Energy-efficient multi-level and distance-aware clustering mechanism for WSNs”. Int. J. of Commun. Syst., 28(5): 972–989, 2015. D. O. Akande, M. F. M. Salleh, and F. K. Ojo, “MAC protocol for cooperative networks, design challenges, and implementations: a survey”. Telecommun. Syst., 69(1): 95–111, 2018.
- D. O. Akande, M. F. M. Salleh, and F. K. Ojo, “MAC protocol for cooperative networks, design challenges, and implementations: a survey”. Telecommun. Syst., 69(1): 95–111, 2018. D. O. Akande, M. F. M. Salleh, “A network lifetime extension-aware cooperative mac protocol for MANETs with optimized power control”. IEEE Access, 7: 18546-18557, 2019.
- D. O. Akande, M. F. M. Salleh, “A network lifetime extension-aware cooperative mac protocol for MANETs with optimized power control”. IEEE Access, 7: 18546-18557, 2019. P. Singh, and R. Singh, “Energy-efficient QoS-aware intelligent hybrid clustered routing protocol for wireless sensor networks”. J. of Sensors, 2019: 1–12, 2019,
- P. Singh, and R. Singh, “Energy-efficient QoS-aware intelligent hybrid clustered routing protocol for wireless sensor networks”. J. of Sensors, 2019: 1–12, 2019, F. Engmann, “Prolonging the lifetime of wireless sensor networks: A review of current techniques”. Wirel. Commun. and Mob. Comput., 2018: 1–23, 2018.
- F. Engmann, “Prolonging the lifetime of wireless sensor networks: A review of current techniques”. Wirel. Commun. and Mob. Comput., 2018: 1–23, 2018. N. A. Pantazis, S. A. Nikolidakis, and D. D. Vergados, “Energy-efficient routing protocols in wireless sensor networks: a survey”. IEEE Commun. Surv. and Tut., 15(2): 551–591, 2013.
- N. A. Pantazis, S. A. Nikolidakis, and D. D. Vergados, “Energy-efficient routing protocols in wireless sensor networks: a survey”. IEEE Commun. Surv. and Tut., 15(2): 551–591, 2013. J. Wang, S. Rao, Y. Liu, P. K. Sharma and J. Hu, "Load Balancing for Heterogeneous
- J. Wang, S. Rao, Y. Liu, P. K. Sharma and J. Hu, "Load Balancing for Heterogeneous R. Kaviarasan, G. Balamurugan, R. Kalaiyarasan, R. R. Y. Venkata, "Effective load
- R. Kaviarasan, G. Balamurugan, R. Kalaiyarasan, R. R. Y. Venkata, "Effective load N. Ajmi, A. Helali, P. Lorenz, and R. Mghaieth, “MWCSGA—Multi weight chicken swarm based genetic algorithm for energy efficient clustered wireless sensor network”. Sensors, 21(3): 1–21, 2021.
- N. Ajmi, A. Helali, P. Lorenz, and R. Mghaieth, “MWCSGA—Multi weight chicken swarm based genetic algorithm for energy efficient clustered wireless sensor network”. Sensors, 21(3): 1–21, 2021. K. N. Qureshi, M. U. Bashir, J. Lloret, and A. Leon, “Optimized cluster-based dynamic energy-aware routing protocol for wireless sensor networks in agriculture precision”. J. of Sensors, 2020: 28-33, 2020.
- K. N. Qureshi, M. U. Bashir, J. Lloret, and A. Leon, “Optimized cluster-based dynamic energy-aware routing protocol for wireless sensor networks in agriculture precision”. J. of Sensors, 2020: 28-33, 2020. J. Restrepo, C. Gruber, and C. Machuca, “Energy profile aware routing”. 2009 IEEE Int. Conf. on Commun. Worksh., pp. 1 –5, June 2009. DOI: https://doi.org/10.1109/ICCW.2009.5208041
- J. Restrepo, C. Gruber, and C. Machuca, “Energy profile aware routing”. 2009 IEEE Int. Conf. on Commun. Worksh., pp. 1 –5, June 2009. DOI: https://doi.org/10.1109/ICCW.2009.5208041 A. Abuashour, and M. Kadoch, “Performance improvement of cluster-based routing protocol in VANET”. IEEE Access, 5:15354–15371, 2017.
- A. Abuashour, and M. Kadoch, “Performance improvement of cluster-based routing protocol in VANET”. IEEE Access, 5:15354–15371, 2017. S. Mamechaoui, F. Didi, and G. Pujolle, “A survey on energy efficiency for wireless mesh network”. Int. J. of Comput. Netw. & Commun., (IJCNC), 5(2): 105–125, 2013.
- S. Mamechaoui, F. Didi, and G. Pujolle, “A survey on energy efficiency for wireless mesh network”. Int. J. of Comput. Netw. & Commun., (IJCNC), 5(2): 105–125, 2013. P. C. S. Rao, P. K. Jana, and H. Banka, “A particle swarm optimization-based energy efficient cluster head selection algorithm for wireless sensor networks”. Wireless Netw., 23(7): 2005–2020, 2020.
- P. C. S. Rao, P. K. Jana, and H. Banka, “A particle swarm optimization-based energy efficient cluster head selection algorithm for wireless sensor networks”. Wireless Netw., 23(7): 2005–2020, 2020. J. Wang Y. Liu, S. Rao, X. Zhou and J. Hu, "A novel self-adaptive multi-strategy
- J. Wang Y. Liu, S. Rao, X. Zhou and J. Hu, "A novel self-adaptive multi-strategy X. Meng, Y. Liu, X. Gao, and H. Zhang, ‘‘A new bio-inspired algorithm: Chicken swarm optimization”. Adv. in Swarm Intelligence. New York, NY, USA: Springer, 2014, pp. 86–94.
- X. Meng, Y. Liu, X. Gao, and H. Zhang, ‘‘A new bio-inspired algorithm: Chicken swarm optimization”. Adv. in Swarm Intelligence. New York, NY, USA: Springer, 2014, pp. 86–94. Z. Wang, C. Qin, B. Wan, William, W. Song, and G. Yang, “An adaptive fuzzy chicken swarm optimization algorithm”. Mathematical Prob. in Eng., 2021: 1–17, 2021.
- Z. Wang, C. Qin, B. Wan, William, W. Song, and G. Yang, “An adaptive fuzzy chicken swarm optimization algorithm”. Mathematical Prob. in Eng., 2021: 1–17, 2021. X. Liang, D. Kou, and L. Wen, “An improved chicken swarm optimization algorithm and its application in robot path planning”. IEEE Access, 8: 49543–49550, 2020.
- X. Liang, D. Kou, and L. Wen, “An improved chicken swarm optimization algorithm and its application in robot path planning”. IEEE Access, 8: 49543–49550, 2020. A. Pradhan, S.K. Bisoy and A. Das, “A survey on PSO based meta-heuristic scheduling
- A. Pradhan, S.K. Bisoy and A. Das, “A survey on PSO based meta-heuristic scheduling A. R. Jadhav, and T. Shaznkar, “Whale optimization-based energy-efficient cluster head selection algorithm for wireless sensor networks”. arXiv preprint arXiv:1711.09389, 2017.
- A. R. Jadhav, and T. Shaznkar, “Whale optimization-based energy-efficient cluster head selection algorithm for wireless sensor networks”. arXiv preprint arXiv:1711.09389, 2017. K. M. Awan, A. Ali, F. Aadil, and K. N. Qureshi, “An energy-efficient cluster-based routing algorithm for wireless sensor networks” 2018 Int. Conf. on Advancements in Computational Sci. (ICACS), pp. 1-7, February 2018.