FOREX Press I. J. of Electrical & Electronics Research
Support Open Access
  • Home/
  • IJEER-120113

Research Article |

Energy Efficient Routing in Wireless Mesh Networks using Multi-Objective Dwarf Mongoose Optimization Algorithm

Author(s): Kamadenahalli Narayanaswamy Prema*, Mandalur Basavarajappa Ushadevi and Shivalingappa Mallesh Smitha

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 1

Publisher : FOREX Publication

Published : 05 February 2024

e-ISSN : 2347-470X

Page(s) : 83-91

DOI: https://doi.org/10.37391/IJEER.120113

Abstract

Wireless Mesh Networks (WMNs) are part of wireless technologies that are known for their flexibility and extended coverage. Wireless applications have reached their peak in applications related to various fields such as healthcare, image processing, and so on. However, delay and energy efficiency are considered the two aspects that diminish the performance of WMNs. To overcome the aforementioned issues, this research introduces an effective routing method using Multi-Objective Dwarf Mongoose Optimization Algorithm (MO-DMOA). The MO-DMOA performs routing by considering the multiple paths using an enriched population resource. The nomadic behavior of MO-DMOA helps in detecting the optimal routing path with minimized over-exploitation. The proposed MO-DMOA is evaluated with different routing schemes such as Load Balance and Interference Avoid-Partially Overlapped Channels Assignment (LBIA-POCA) framework, and Multi-Objective Dyna Q-based Routing (MODQR). The outcomes obtained through the experimental analysis show that the proposed approach acquires a better throughput of 13.5×105kbps for 22 flows, whereas the existing LBIA-POCA achieves a throughput 60× 103 kbps.

Keywords: Energy efficiency, load balance, multi-objective dwarf mongoose optimization algorithm, routing, wireless mesh networks.




Kamadenahalli Narayanaswamy Prema*, Assistant professor and Research Scholar in JNN College of Engineering, Shivamogga; Email: premakn@jnnce.ac.in

Mandalur Basavarajappa Ushadevi, Professor, JNN College of Engineering, Shivamogga, India; Email: mbu@jnnce.ac.in

Shivalingappa Mallesh Smitha, Assistant professor, JNN College of Engineering, Shivamogga, India; Email: smithasm@jnnce.ac.in

    [1] Chai, Y; Zeng, X.-J. Regional condition-aware hybrid routing protocol for hybrid wireless mesh network. Comput. Networks 2019, 148, 120–128. [CrossRef]
    [2] Chai, Y; Zeng, X.-J. Delay-and interference-aware routing for wireless mesh network. IEEE Syst. J. 2020, 14(3), 4119–4130. [CrossRef]
    [3] Narayana, S.K.; Hosur, N.T. Priority based trust efficient routing using ant colony optimization for IoT-based mobile wireless mesh networks. International Journal of Intelligent Engineering and Systems 2022, 15(2), 99–106. [CrossRef]
    [4] Sastry, M.K.; Mohammad, A.A.K.; Abdul, A.M. Optimized Energy-efficient Load Balance Routing Protocol for Wireless Mesh Networks. International Journal of Advanced Computer Science and Applications 2021, 12(8), 605–610. [CrossRef]
    [5] Binh, L.H.; Duong, T.-V.T. Load balancing routing under constraints of quality of transmission in mesh wireless network based on software defined networking. J. Commun. Networks 2021, 23(1), 12–22. [CrossRef]
    [6] Nouri, N.A.; Aliouat, Z.; Naouri, A.; Hassak, S.A. Accelerated PSO algorithm applied to clients coverage and routers connectivity in wireless mesh networks. J. Ambient Intell. Hum. Comput. 2023, 14(1), 207–221. [CrossRef]
    [7] Taleb, S.M.; Meraihi, Y.; Mirjalili, S.; Acheli, D.; Ramdane-Cherif, A.; Gabis, A.B. Mesh Router Nodes Placement for Wireless Mesh Networks Based on an Enhanced Moth–Flame Optimization Algorithm. Mobile Networks Appl. 2023. [CrossRef]
    [8] Mahajan, S.; Harikrishnan, R.; Kotecha, K. Adaptive Routing in Wireless Mesh Networks Using Hybrid Reinforcement Learning Algorithm. IEEE Access 2022, 10, 107961–107979. [CrossRef]
    [9] Bano, M.; Qayyum, A.; Rais, R.N.B.; Gilani, S.S.A. Soft-mesh: a robust routing architecture for hybrid SDN and wireless mesh networks. IEEE Access 2021, 9, 87715-87730. [CrossRef]
    [10] Prakash, B.; Jayashri, S.; Karthik, T.S. A hybrid genetic artificial neural network (G-ANN) algorithm for optimization of energy component in a wireless mesh network toward green computing. Soft Comput. 2019, 23(8), 2789–2798. [CrossRef]
    [11] Singh, A.; Prakash, S.; Singh, S. Optimization of reinforcement routing for wireless mesh network using machine learning and high‐performance computing. Concurrency Comput. Pract. Exper. 2022, 34(15), e6960. [CrossRef]
    [12] Gheisari, M.; Alzubi, J.; Zhang, X.; Kose, U.; Saucedo, J.A.M. A new algorithm for optimization of quality of service in peer-to-peer wireless mesh networks. Wireless Netw. 2020, 26(7), 4965–4973. [CrossRef]
    [13] Binh, L.H.; Truong, T.K. An efficient method for solving router placement problem in wireless mesh networks using multi-verse optimizer algorithm. Sensors 2022, 22(15), 5494. [CrossRef]
    [14] Xue, X.; Shanmugam, R.; Palanisamy, S.; Khalaf, O.I.; Selvaraj, D.; Abdulsahib, G.M. A hybrid cross layer with harris-hawk-optimization-based efficient routing for wireless sensor networks. Symmetry 2023, 15(2), 438. [CrossRef]
    [15] Yang, W.; Zeng, X.; Lai, G. A guaranteed approximation algorithm for QoS anypath routing in WMNs. Mathematics 2022, 10(23), 4557.
    [16] Yuan, X.; Chen, Y. Secure routing protocol based on dynamic reputation and load balancing in wireless mesh networks. J. Cloud Comput. 2022, 11, 77. [CrossRef]
    [17] Lahsen-Cherif, I.; Zitoune, L.; Vèque, V. Energy efficient routing for wireless mesh networks with directional antennas: When Q-learning meets ant systems. Ad Hoc Networks 2021, 121, 102589. [CrossRef]
    [18] Yang, L.; Li, Y.; Wang, S.; Xiao, H. Interference-avoid channel assignment for multi-radio multi-channel wireless mesh networks with hybrid traffic. IEEE Access 2019, 7, 67167–67177. [CrossRef]
    [19] Chai, Y.; Zeng, X.-J. A multi-objective Dyna-Q based routing in wireless mesh network. Appl. Soft Comput. 2021, 108, 107486. [CrossRef]
    [20] Bordier, J.-P.; Merlhe, C.; Fabian, P.; Baey, S.; Garnaud, D.; Bussereau, K.; Livolant, E.; Gueguen, C. Buffer occupancy and link state opportunistic routing for wireless mesh networks. Wireless Netw. 2021, 27(6), 4133–4150. [CrossRef]

Kamadenahalli Narayanaswamy Prema, Mandalur Basavarajappa Ushadevi and Shivalingappa Mallesh Smitha (2024), Energy Efficient Routing in Wireless Mesh Networks using Multi-Objective Dwarf Mongoose Optimization Algorithm. IJEER 12(1), 83-91. DOI: 10.37391/IJEER.120113.