IMPROVING RELIABLE DATA TRANSFER RATE IN MANETS FOR AVOIDING CONGESTION USING ADVANCED FUZZY LOGICS

Abstract

MANETs packet loss can be caused by either connection failure or node failure. Furthermore, the methods used to pick the bypass path and prevent congestion on the bypass route are seldom used. To address these, in this paper, we suggest an efficient, efficient and congestive routing management protocol that uses fuzzy logic to fix congestion and path errors by choosing bypass routes in MANETs. Many roads are being built. The shortest paths for effective data transfer are defined. Congestion is identified on the basis of consumption and connection capability and pathways. When a source node senses congestion on a connection along the route, it distributes traffic over alternate routes, taking into account the availability threshold and using a traffic splitting feature. Improving Stable Data Transfer Rate in MANETs to Prevent Congestion Using Advanced Fuzzy Logics If a node cannot address congestion, it signals its neighbours using a bit of traffic.