Honest Forwarding Node Selection with Less Overhead and Stable Path Formation in MANET

Abstract

Mobile Ad hoc Network (MANET) has paid considerable attention to wireless communication. MANET is an autonomous collection of self-deployed nodes without any pre-existing infrastructures and nodes are movable that also act as routers. The main characteristics of MANETs are lack of centralized control, lack of association among nodes, rapid mobility of hosts, frequent dynamically varying network topology, shared broadcast radio channel, insecure operating environment, physical vulnerability and limited availability of resources, such as battery power, and bandwidth. In multicast routing, forwarding nodes are chosen by the designed protocol to be present in the path between sender and receiver. Here, sender and receiver can also be a forwarder node. Flooding and ratio of forwarding nodes change must be limited to reduce overhead. To increase security, the estimation of honesty of nodes is significant. The previous work ODMRP-EFNRLP tries to minimize overhead through minimizing redundant data delivery, prediction of link failure and energy-aware node selection. This paper searches On-Demand Multicast Routing Protocol design and the possible fuzzy optimization. In this paper, attacker detection is tested using multi-agent classification to update node’s honesty for decision-making. Its results are evaluated. During the evaluation test, the results validate the progress.