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HCIFR: Hierarchical Clustering and Iterative Filtering Routing Algorithm for Wireless Sensor Networks

Journal: International Journal of Advanced engineering, Management and Science (Vol.3, No. 11)

Publication Date:

Authors : ;

Page : 1071-1076

Keywords : Cumulative Credit Point; Hierarchical Clustering; Iterative Filtering; MLE(Maximum Likelihood Estimator); Secure Data Aggregation; TDMA (Time Division Multiple Access).;

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The hierarchical clustering and iterative filtering algorithms are combined to form an energy efficient routing algorithm which supports in improved performance, efficient routing at the time of link failure, collusion robust and secure data aggregation. The idea of combining these two algorithms which may lead to improved performance. Initially clusters are formed by neighborhood. The cluster is a combination of one clusterhead, two deputy clusterheads and cluster members. This system uses a Hierarchical clustering algorithm for efficient data transmission to their clusterhead by cluster members. The clusterhead aggregate the collected data and check for trustworthiness. The data is aggregated by clusterhead using the iterative filtering algorithm and resistant to collusion attacks. Simulation results depict the average energy consumption, throughput, packet drops and packet delivery under the influence of proposed algorithm.

Last modified: 2017-12-07 23:47:51