Fuzzy Rough Set-based Link Stability Forecasting Scheme for Improving Data Dissemination in MANETs

In Mobile Ad hoc NETwork (MANET), the construction of stable paths among mobile nodes is inevitable for achieving network connectivity during the process of reliable data dissemination. MANET includes the properties of mobility, wireless connectivity and independence for fitting itself to a wide number of real-time applications, but increases the complexity involved in managing the path stability in the network. The routing protocols are the essential components of the entire network as they are responsible for searching and maintaining the routes. However, a path stability scheme that uses weighted aggregation of the mobile node interaction rate and energy is not much explored in the literature. In this paper, a Fuzzy Rough Set-based Link Stability Forecasting Scheme (FRSLSFS) is proposed for integrating the characteristic functionality of the Fuzzy Rough Set (FRS) for forecasting and deciding the stability of the link in order to achieve reliable data routing. This proposed FRSLSFS determines the link stability based contention count, signal strength, hop count, available energy of the link, normalized multi-objective optimization and link stability using FRS-based prediction. The simulation experiments of the proposed FRSLSFS scheme confirm its predominance by offering improved throughput by 13.21%, reduced packet latency by 12.84% and minimized energy consumption by 15.28% in contrast to the baseline link prediction schemes.