Publication | Closed Access
Trust Predicated Routing Framework with Optimized Cluster Head Selection using Cuckoo Search Algorithm for MANET
17
Citations
16
References
2015
Year
Cluster ComputingRouting FrameworkNetwork Routing AlgorithmEngineeringWireless RoutingEdge ComputingAd Hoc NetworkNetwork RoutingSecure RoutingCuckoo Search AlgorithmComputer ScienceMulti-hop RoutingCluster HeadCuckoo SearchRouting Protocol
This paper presents a Cuckoo search algorithm to secure adversaries misdirecting multihop routing in Mobile ad hoc networks (MANETs) using a robust Trust Predicated Routing Framework with an optimized cluster head selection. The clustering technique designed in this framework leads to efficient routing in MANETs. The heavy work load in the node causes an energy drop in cluster head, which leads to re-clustering of the group, and another cluster head is selected to avoid packet loss during data transmission. The problem in the re-clustering process is that the overall efficiency of the routing process is reduced and the processing time is increased. A Cuckoo search based optimization algorithm is proposed to solve the problem of re-clustering by selecting the secondary cluster head within the initially formed cluster group and eliminating the reclustering process. The proposed framework enables a node to select a reliable and secure route for MANET and the performance can be evaluated by comparing the simulated results with the AODV routing protocol, which shows that the performance of the proposed routing protocol are improved significantly.
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