| Modelling and Analysis for Proactive Decision-Making in Ad-hoc Networks | |
|
MSRDG International Journal of Computer Scientific Technology & Electronics Engineering
© 2025 by MSRDG IJCSTEE Journal Volume 1 Issue 6
Year of Publication: 2025 |
Paper Download Article ID MSRDG-IJCSTEE-V1I6P105 |
|
Abstract: Mobile ad-hoc networks (MANETs) present fundamental routing challenges owing to their dynamic topology, limited bandwidth, and device heterogeneity. Conventional reactive routing schemes incur significant latency during route discovery, degrading quality-of-service under high mobility. This paper introduces a Proactive Decision-Making (PDM) framework that integrates link-state estimation, predictive mobility modelling, and adaptive threshold-based rerouting to anticipate and mitigate route failures before they manifest. The proposed model embeds a weighted link-quality index derived from received signal strength, residual energy, and node velocity into a modified Bellman–Ford optimisation cycle. A mobility-aware Markov prediction module forecasts node displacement within a configurable time horizon, enabling preemptive table updates. Simulations conducted in Network Simulator 3 (NS-3) over an area of 1000×1000 m² with 10–80 mobile nodes demonstrate that PDM reduces end-to-end delay by up to 59 %, improves packet delivery ratio by 12 percentage points, and decreases routing overhead by 37 % compared to AODV and OLSR. The results confirm that anticipatory decision-making substantially enhances throughput and network lifetime in high-mobility ad-hoc environments. |
|
| Keywords: Mobile ad-hoc networks (MANETs); proactive routing; link-state estimation; Markov mobility model; Bellman–Ford optimisation; quality-of-service; NS-3 simulation | |
