Published Paper Details:

In the current landscape of wireless communication, Mobile Ad-Hoc Networks (MANETs) have emerged as a significant area of interest for researchers and scholars due to their versatility and expanding applications. These networks are widely used for monitoring, sensing, and analyzing vast environments, especially in defense operations and in detecting physical parameters. One of the critical concerns in real-time MANET applications is energy efficiency, as the devices typically operate with limited battery life and constrained energy supplies. To address these core challenges, this work introduces an integrated strategy aimed at optimizing energy usage during data transmission while also improving the overall network lifespan. The proposed approach unfolds in three phases, starting with a model that identifies energy-efficient mobile nodes using a node detection mechanism. This strategy enables only a necessary subset of nodes to remain active, allowing others to conserve energy in sleep mode. To maximize energy savings, a calculated quantitative factor is employed, resulting in significantly enhanced network durability. Node selection prioritizes devices that are crucial for maintaining communication within the MANET and ensures effective power utilization. Due to the dynamic nature of ad-hoc networks, the number of nodes involved in communication must be adaptable rather than fixed, prompting the development of a second phase that introduces an adaptive model for node selection based on performance needs. The final phase integrates a secure, energy-conscious routing scheme that leverages trusted path identification and optimal route configuration. This results in reliable communication, improved prediction accuracy, and an extended network lifetime in mobile multihop ad hoc environments.