International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 16, No. 6, 8 Dec. 2024
Cover page and Table of Contents: PDF (size: 595KB)
Fuzzy-based Bi-objective Energy Efficient Routing Protocol for Large Scale Mobile Ad-hoc Network
PDF (595KB), PP.94-104
Views: 0 Downloads: 0
Author(s)
Subhrananda Goswami
1,*
Sukumar Mondal
2
Subhankar Joardar
3
Sovan Samanta
4,5
Chandan Bikash Das
5
Index Terms
Adhoc Network, Energy Efficiency Routing, Link Stability, Bandwidth, Battery Life, COVID-19 and FIS
Abstract
MANET is an infrastructure-less network, which is comprised of a greater number of nodes that are moving in a random manner. Establishing efficient and reliable routes is the crucial design issue in MANET. In addition, providing energy-efficient routes for performing communication operations in MANET is also a challenging goal. Increasing network lifetime and decreasing overall traffic load are the significant considerations while designing the MANET. An energy optimization routing mechanism with a fuzzy basis that is state-based and influenced by COVID-19 is used to prevent and control epidemics. Based on their lifespan and varying mobility speeds, it is dependent on energy optimization yield under various scenarios. Fuzzy-based bi-objective criteria in energy-efficient routing protocol for the mobile ad-hoc network to select the different constraints like link stability, bandwidth, and battery life. The main goal of this paper is to obtain the optimal solution to choose the best route, limit battery life, and change the movement of mobile nodes for large-scale mobile ad-hoc networks. It is demonstrated that the possible solution relates to the domain of selecting the variables by outlining the connection between the energy function’s variables. Researchers optimize a path's link lifespan, resulting in the choice of the shortest path being particularly efficient in COVID-19 pandemic prevention and treatment.
Cite This Paper
Subhrananda Goswami, Sukumar Mondal, Subhankar Joardar, Sovan Samanta, Chandan Bikash Das, "Fuzzy-based Bi-objective Energy Efficient Routing Protocol for Large Scale Mobile Ad-hoc Network", International Journal of Intelligent Systems and Applications(IJISA), Vol.16, No.6, pp.94-104, 2024. DOI:10.5815/ijisa.2024.06.06
Reference
[1]Kai, Cui., An ad-hoc network routing algorithm based on improved neural network under the influence of COVID-19, Journal of Intelligent & Fuzzy Systems ,39(6) 8767-8774, 2020.
[2]Sharma, Anupama, Abhay Bansal, & Vinay Rishiwal SBADR: stable and bandwidth aware dynamic routing protocol for mobile ad hoc network, International Journal of Pervasive Computing and Communications ,16(3) 205-221, 2020.
[3]Moqimi, Ehsan, Amir Najafi, & M. Aajami, An enhanced dynamic source routing algorithm for the mobile ad-hoc network using reinforcement learning under the COVID-19 conditions, J. Comput. Sci ,16, 1477-1490, 2020.
[4]Gautam, Ashu, Rashima Mahajan, & Sherin Zafar, Energy Consumption Analysis of Iot-Manet Based Systems with Anova Assessment for Tackling Covid-19, Journal of Information Technology Management 14.Security and Resource Management challenges for Internet of Things , 89-102, 2022.
[5]N. Ramanathan, Wheeb, Ali H., et al, Topology-based routing protocols and mobility models for flying ad hoc networks: a contemporary review and future research directions., Drones 6(1),2021.
[6]Alam, Muhammad Morshed, & Sangman Moh, Survey on Q-Learning-Based Position-Aware Routing Protocols in Flying Ad Hoc Networks, Electronics 11(7), 1099,2022
[7]Kannan, Srihari, et al, Ubiquitous vehicular ad-hoc network computing using deep neural network with iot-based bat agents for traffic management, Electronics 10(7),785,2021.
[8]Mahmood, Baban A., & Dakshnamoorthy Manivanann. Hybrid on-demand greedy routing protocol with backtracking for mobile ad-hoc networks, International Journal of Pervasive Computing and Communications2020.
[9]Prasad, Sanjeev K., et al., RSETR: Route Stability Based Energy and Traffic Aware Reactive Routing Protocol for Mobile Ad hoc Network, IEEE Delhi Section Conference (DELCON). IEEE, 2022.
[10]Nami, A. Abdollahi, & L. Rajabion, Data replication techniques in the mobile ad hoc networks: A systematic and comprehensive review., International Journal of Pervasive Computing and Communications, 2019.
[11]Sirajuddin, Mohammad, et al., Hybrid Cryptographic Scheme for Secure Communication in Mobile Ad Hoc Network-Based E-Healthcare System, Wireless Communications and Mobile Computing , 2022.
[12]Bondada, Praveen, et al., EData security-based routing in MANETs using key management mechanism, Applied Sciences 12(3) , 1041, 2022
[13]Pamarthi, Satyanarayana, & R. Narmadha, Literature review on network security in Wireless Mobile Ad-hoc Network for IoT applications: Network attacks and detection mechanisms, International Journal of Intelligent Unmanned System,,2021.
[14]Hemmati Far, Mohammad, Hassan Haleh, & Abbas Saghaei, A fuzzy bi-objective flexible cell scheduling optimization model under green and energy-efficient strategy using Pareto-based algorithms: SATPSPGA, SANRGA, and NSGA-II.", The International Journal of Advanced Manufacturing Technology 105(9) 8 (6),pp.3853-3879,2019.
[15]Kar, Mohuya B., et al., A new bi-objective fuzzy portfolio selection model and its solution through evolutionary algorithms., Soft Computing ,23(12),pp. 4367-4381, 2019.
[16]Das, K., Samanta, S., & Pal, M. (2018). Study on centrality measures in social networks: a survey. Social network analysis and mining, 8(1), 1-11.
[17]Samanta, S., & Pal, M. (2013). Fuzzy k-competition graphs and p-competition fuzzy graphs. Fuzzy Information and Engineering, 5(2), 191-204.