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Swarm Optimization bsed Imposter Nodes and Resource Limitation Aware Node Failure Detection


Affiliations
1 Department of Computer Science, Providence College for Women, India
     

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This research work studies about node failures, which can be prevented pretty good by providing the necessary resources rather than by establishing a route path again. This is done by clustering the mobile nodes in accordance with the on node significance level like it is done in the earlier work and the resources among the cluster members are shared with one another to guarantee that sufficient resources are made available. The cluster is established using the Fuzzy K-means clustering technique. The cluster head is accountable for selecting those clusters members, which can share their resources with one another whereas in this technical work, the cluster head selection is carried out with the help of Cuckoo Search based Hill climbing algorithm (CS-HC). Also, to prevent the wrong information on the node failure being spread by the imposter nodes acting as credible neighbour nodes, this work presents the Imposter Node Detection algorithm. This technique guarantees the optimum detection and suppression of node failures occurring in the mobile wireless networks by presenting effective methodologies. The overall process of realization of the proposed research approach is carried out in the NS2 simulation environment, which shows that the proposed technique ensures improved performance compared to the available research approaches.

Keywords

Wireless Sensor Network, Clustering, Node Formation, Fuzzy KMeans Clustering, Cuckoo Search Algorithm, Hill Climbing Approach.
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  • Swarm Optimization bsed Imposter Nodes and Resource Limitation Aware Node Failure Detection

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Authors

K. B. Manikandan
Department of Computer Science, Providence College for Women, India

Abstract


This research work studies about node failures, which can be prevented pretty good by providing the necessary resources rather than by establishing a route path again. This is done by clustering the mobile nodes in accordance with the on node significance level like it is done in the earlier work and the resources among the cluster members are shared with one another to guarantee that sufficient resources are made available. The cluster is established using the Fuzzy K-means clustering technique. The cluster head is accountable for selecting those clusters members, which can share their resources with one another whereas in this technical work, the cluster head selection is carried out with the help of Cuckoo Search based Hill climbing algorithm (CS-HC). Also, to prevent the wrong information on the node failure being spread by the imposter nodes acting as credible neighbour nodes, this work presents the Imposter Node Detection algorithm. This technique guarantees the optimum detection and suppression of node failures occurring in the mobile wireless networks by presenting effective methodologies. The overall process of realization of the proposed research approach is carried out in the NS2 simulation environment, which shows that the proposed technique ensures improved performance compared to the available research approaches.

Keywords


Wireless Sensor Network, Clustering, Node Formation, Fuzzy KMeans Clustering, Cuckoo Search Algorithm, Hill Climbing Approach.

References