Enhanced data security in MANET using trust‐based Bayesian statistical model with RSSI by AOMDV

Abstract

SummaryA Mobile Ad‐hoc Network (MANET) is a form of mobile node which is known for its random movement and communication to other nodes without the need for any infrastructure. The Bayesian statistical model helps a routing protocol in MANET in getting a high mobility trusted node that relies on the outcome of the prediction. Fuzzy logic has been of immense use for trust in the calculation of RSSI value that helps finding a reliable and trusted route from source to destination. This innovative proposal that uses fuzzy logic in AOMDV is referred to as the Fuzzy trust with RSSI in Ad hoc On‐demand Multipath Distance Vector (FT‐AOMDV). It is known for its help in finding a reliable path in mobile Ad Hoc Networks. Simulation was conducted using a NS‐2 network simulator under various scenarios that include varying node speeds and varying malicious nodes for the evaluation of the efficiency of the protocols. Metrics that include delivery ratio, end‐to‐end delay, routing packet overhead, and throughput have been used in the comparison of FT‐AOMDV with AOMDV, TB‐AOMDV1, and TB‐AOMDV2.