Trust-Optimized Relay Node Selection in Manets Using Eigen Neighbor Rank Trust Algorithm


  • R. Sivaranjani, R. Shankar, S. Duraisamy


Data transmission, Eigen Trust, EigenNeighborRankTrust, relay node selection, MANET


Mobile Ad hoc Networks (MANETs) operate without a fixed infrastructure, relying on decentralized communication between mobile nodes. One critical aspect of MANET management is the selection of reliable relay nodes to facilitate efficient and secure communication. In this context, the EigenNeighborRankTrust Algorithm is proposed as a trust-optimized approach for relay node selection in MANETs. This algorithm leverages the concept of Eigen Trust to evaluate the trustworthiness of neighboring nodes based on their historical behavior and interactions. By assigning trust ranks to neighboring nodes, the EigenNeighborRankTrust Algorithm facilitates the selection of trustworthy relay nodes for data transmission, thereby enhancing routing integrity and network security. Additionally, the routing protocol employing the Modified Zone Routing Protocol (MZRP) derived from AODV further enhances the robustness and scalability of the network, complementing the trust-based relay node selection provided by the EigenNeighborRankTrust Algorithm. This research introduces the EigenNeighborRankTrust Algorithm as a promising solution to optimize trust-based relay node selection in MANETs, contributing to the development of more reliable and efficient wireless communication systems.


Download data is not yet available.


Ahmed, M. N., Abdullah, A. H., Chizari, H., & Kaiwartya, O. (2017). F3TM: Flooding Factor based Trust Management Framework for secure data transmission in MANETs. Journal of King Saud University-Computer and Information Sciences, 29(3), 269-280.

Akande, D. O., & Salleh, M. F. M. (2019). A network lifetime extension-aware cooperative MAC protocol for MANETs with optimized power control. IEEE Access, 7, 18546-18557.

Alameri, I. A. (2018). MANETS and Internet of Things: The Development of a Data Routing Algorithm. Engineering, Technology & Applied Science Research, 8(1).

Benatia, S. E., Smail, O., Meftah, B., Rebbah, M., & Cousin, B. (2021). A reliable multipath routing protocol based on link quality and stability for MANETs in urban areas. Simulation Modelling Practice and Theory, 113, 102397.

Chowdhuri, S., Banerjee, P., & Chaudhuri, S. S. (2018). Relay node selection algorithm consuming minimum power of MIMO integrated MANET. Advances in Computational Design, 3(2), 191-200.

Gerhards-Padilla, E., Aschenbruck, N., Martini, P., Jahnke, M., & Tolle, J. (2007, October). Detecting black hole attacks in tactical MANETs using topology graphs. In 32nd IEEE Conference on Local Computer Networks (LCN 2007) (pp. 1043-1052). IEEE.

Hai, T., Zhou, J., Lu, Y., Jawawi, D., Wang, D., Onyema, E. M., & Biamba, C. (2023). Enhanced security using multiple paths routine scheme in cloud-MANETs. Journal of Cloud Computing, 12(1), 68.

Lin, C. Y., Wang, C. H., & Tseng, Y. C. (2021). A TDMA protocol with reinforcement learning slot selection for MANETs. International Journal of Ad Hoc and Ubiquitous Computing, 37(1), 16-25.

Magán-Carrión, R., Camacho, J., Garcia-Teodoro, P., Flushing, E. F., & Di Caro, G. A. (2017). A Dynamical Relay node placement solution for MANETs. Computer Communications, 114, 36-50.

Mahiddin, N. A., Sarkar, N. I., & Cusack, B. (2017). An internet access solution: MANET routing and a gateway selection approach for disaster scenarios. The Review of Socionetwork Strategies, 11, 47-64.

Nabar, K., & Kadambi, G. (2017, February). Optimising gateway selection using node lifetime and inter-node interference in cluster-based MANETs. In 2017 Fourteenth International Conference on Wireless and Optical Communications Networks (WOCN) (pp. 1-5). IEEE.

Nirmaladevi, K., & Prabha, K. (2023). A selfish node trust aware with Optimized Clustering for reliable routing protocol in Manet. Measurement: Sensors, 26, 100680.

Papanna, N., Reddy, A. R. M., & Seetha, M. (2019). EELAM: Energy efficient lifetime aware multicast route selection for mobile ad hoc networks. Applied Computing and Informatics, 15(2), 120-128.

Premanand, R. P., & Rajaram, A. (2020). Enhanced data accuracy based PATH discovery using backing route selection algorithm in MANET. Peer-to-Peer Networking and Applications, 13(6), 2089-2098.

Rathi, P. S., & Mallikarjuna Rao, C. H. (2020). Survey paper on routing in MANETs for optimal route selection based on routing protocol with particle swarm optimization and different ant colony optimization protocol. In Smart Intelligent Computing and Applications: Proceedings of the Third International Conference on Smart Computing and Informatics, Volume 1 (pp. 539-547). Springer Singapore.

Reddy, S., & V, V. K. (2019). Multi-path selection based on fractional cuckoo search algorithm for QoS aware routing in MANET. sensor review, 39(2), 218-232.

Satav, P. R., & Jawandhiya, P. M. (2018, August). An energy efficient route selection in MANET with AOMDV Routing Algorithm. In 2018 International Conference on Research in Intelligent and Computing in Engineering (RICE) (pp. 1-5). IEEE.

Sebopelo, R., Isong, B., & Gasela, N. (2019). Identification of compromised nodes in MANETs using machine learning technique. International Journal of Computer Network and Information Security, 11(1), 1.

Shafi, S., & Ratnam, D. V. (2023). Ant-colony optimization based energy aware cross layer routing protocol to improve route reliability in MANETs. Wireless Personal Communications, 129(3), 1865-1879.

Kannan, K. R., & Marimuthu, C. N. (2024). Energy efficient routing technique using enthalpy ant net routing for zone-based MANETS. IETE Journal of Research, 1-13.

Sasikala, N., Rao, K. P. K., & Shanker, K. (2024). Selecting Optimal Path in Multiple-Path Routing for MANETs Using Fuzzy Cost. Indian Journal of Science and Technology, 17(7), 598-609.




How to Cite

R. Sivaranjani, R. Shankar, S. Duraisamy. (2024). Trust-Optimized Relay Node Selection in Manets Using Eigen Neighbor Rank Trust Algorithm. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 2993–3000. Retrieved from



Research Article