A Novel Framework for Evaluation of Trust in Mobile Adhoc Networks using Flower Pollination Algorithm

Abstract

Mobile Adhoc networks could be a range of mobile nodes distributed within the setting that would support the quality of the nodes. Because of its variable consistency behaviour, the routing path of mobile nodes wills amendment dynamically.Multiple intermediate nodes between supply and sink nodes will be involved to transfer the packets of information.In this case, there may be an opportunity for selfish nodes to drop the packets instead of transmitting them to stop spending their resources.And the selfish identification of nodes plays a crucial role in preventing the disappearance of packets.Selfish node identification is addressed during this research process to create a novel framework and safe environment for transmitting the data packets.Identification of Selfish node is focused in this research work, to get a more stable environment for disseminating of the data packets.In this paper, the selection of the optimum cluster head is done with a Multiple Constraint aware Flower Pollination Algorithm (MC-FPA). The multiple objectives like energy, bandwidth and delay metrics are considered for the selection of cluster head.In which the node is satisfied with all the metrics, the node will be selected as the cluster header.Overall the proposed study should be conducted in the NS2 simulation environment, which shows that the proposed method leads to a better result than the existing system.