Cross-layer and reliable opportunistic routing with location prediction update vector (CBRT-LPUV) in mobile ad hoc networks (MANET)

Abstract

In the wireless network, especially in Mobile Ad hoc Networks (MANET) includes mobile nodes having no fixed infrastructure as well as not having centralized administration. In MANET, designing of Routing protocol is critical task. Cross-layer and reliable opportunistic routing algorithm (CBRT) are useful for improving the reliability of routing protocols as well as efficiency. But in CBRT, location of the nodes is identified by exchanging the probe packets periodically. However, it might fail to accurately predict the locations of nodes with increased mobility rate. So to solve the above mentioned issue, we have proposed new location prediction algorithm called Cross-Layer and Reliable Opportunistic Routing with Location Prediction Update Vector (CBRT-LPUV). It is used to predict the nodes location dynamically even with the presence of high node mobility. In this work, Fuzzy Logic System is used for fuzzy rule generation by which more reliable relay node can be selected. Here failures of the nodes are tolerated by introducing the Quality and Stability aware link failure prediction algorithm. This proposed model is implemented in the NS2 and performance as well as evaluation of proposed model is done by using network parameters viz. end-to-end delay time, packet delivery ratio and network life-time metrics.