{"references": ["1.\tThamizhmaran, K., Mahto, R. S. K., & Tripathi, V. S. K. (2012). Performance analysis of secure routing protocols in MANET. International Journal of Advanced Research in Computer and Communication Engineering, 1(9), 651-654.", "2.\tKrishnamoorthy, T., & Arivazhagan, A. D. (2015, January). Energy efficient routing protocol with ad hoc on-demand distance vector for MANET. In 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO) (pp. 1-6). IEEE.", "3.\tThamizhmaran, K., Arivazhagan, A. D., & Anitha, M. (2015, January). Co-operative analysis of proactive and reactive protocols using Dijkstra's Algorithm. In 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO) (pp. 1-6). IEEE.", "4.\tVennila, K., & Thamizhmaran, K. (2017). Implementation of Multilevel Thresholding on Image using Firefly Algorithm. International Journal of Advanced Research in Computer Science, 8(3).", "5.\tThamizhmaran, K. (2016). Performance Evaluation of EA3ACK in different topologies Using EAACK for MANET. i-Manager's Journal on Information Technology, 5(4), 5.", "6.\tThamizhmaran, K., Anitha, M., & Nachiappan, A. (2017). Performance analysis of on-demand routing protocol for MANET using EA3ACK algorithm. International Journal of Mobile Network Design and Innovation, 7(2), 88-100.", "7.\tThamizhmaran, K. (2020). Acknowledgement based Topology Control using Hybrid Cryptography for MANETS. i-Manager's Journal on Information Technology, 9(2), 36.", "8.\tThamizhmaran, K. (2020). Cluster Based Data Collection Scheme for VANET. Journal on Software Engineering, 14(4).", "9.\tPushpavani, R., Thamizhmaran, K., & Ravichandran, T. (2017). Fast Handover Algorithm for Mobility Management in VANETs. International Journal of Advanced Research in Computer Science, 8(3).", "10.\tVennila, K., & Thamizhmaran, K. (2017). Multilevel image segmentation based on firefly algorithm. Biometrics Bioinform, 9(3), 57-60."]}

Some of young and beginning researchers boldly focused in the field of mobile ad hoc networks its collection of separate nodes in the particular network through wireless links. It is also difficult to pre-set protocol parameters correctly to fit in different environments. We have settled two self-adaptive on-demand topographical routing schemes. The local topology is updated in a timely manner according to network dynamics and traffic demands. Our route optimization scheme adjusts the routing path permitting to both topology changes and real data traffic requirements. Each node can determine and adjust the protocol parameter values independently according to different network environments, data traffic conditions and node’s own requirements. Our simulation lessons have shown that the planned routing protocols are extra robust and outperform the existing geographic routing protocol.