Energetic and Valuable Path Compendium Routing Using Frustration Free Communication Dimension Extension Algorithm in MANET. (22nd March 2022)

• Record Type: Journal Article
• Authors: Veeraiah, D.; Joel Sunny Deol, G.; Ganiya, Rajendra Kumar; Nageswara Rao, J.; Bulla, Suneetha; Alene, Assefa
• Other Names: Hashmi Mohammad Farukh Academic Editor.
• Is Part Of: Wireless communications and mobile computing. Volume 2022(2022)
• Publication Date: 2022-03-22
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1155/2022/3685419
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract : In the mobile ad hoc network (MANET), nodes are unenergetic nodes; also, it does not provide valuable routing, since it has the limited size for routing information storage for every node, and node multiple path takes more energy for small size of information sharing from sender node to destination node. It maximizes energy consumption and end-to-end delay and reduces network lifetime. In the proposed Energetic and Valuable Path Compendium Routing (EVPC) technique for obtaining energy saving enrichment in mobile ad hoc network process by separating the network into groups and chosen as heads within the groups by using path compendium technique also referred as arbitrary group head chosen depends on communication scheme. Path compendium is known to play an essential task to contain the issues of routing scalability in the network communication process. Through the increasing amount of nodes linked to the network surroundings, emerges the requirement to improve the communication table dimension to hold the improved nodes. To overcome this path compendium, a transmitter scheme is applied. The frustration free communication dimension extension algorithm is used by overriding set of paths and altering advertising node to energetic node with shortest distance path. The frustration free communication dimension extension procedure offers more effectiveness in enhancing the different metrics and principally minimizes the energy consumption by 25% and end-to-end delay by 15% and improves the network lifetime by 35%.