Simulation analysis shows improved routing performance in mobile ad hoc networks, suggesting effective solutions for routing challenges.
Mobile Ad Hoc Networks (MANETs) are decentralized wireless networks where mobile nodes communicate without fixed infrastructure. Due to dynamic topology and limited resources, routing becomes a major challenge in MANET environments. Ant Colony Optimization (ACO), inspired by the foraging behavior of ants, provides an adaptive and distributed solution for routing problems. This paper proposes an ACO-based routing algorithm for MANETs that improves route discovery and path optimization. Artificial ants explore the network and update routing tables using pheromone trails. Simulation results show improved packet delivery ratio, reduced delay, and higher throughput compared to traditional routing protocols.
No takes yet. Share an insight, caveat, or question.
Mohanraj et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: