Improved Bat Algorithm Based Clustering In WSN

  Kavita,  Dr. Ramesh Chand Kashyap

Clustering in wireless sensor network is an important aspect of research in wireless networks. Clusters in the network can be formed on the basis of either geographical area of the nodes or on the basis of some performance parameters. Also the nodes which form the cluster are either homogenous or heterogeneous in nature. In the proposed approach an objective function is proposed and and the objective function is used for the implementation of Bat Algorithm. The distance between nodes is computed using the Bat Algorithm. The distance is then used for clustering in the network. The results of the proposed approach are then compared with the basic algorithm. The results also verify the algorithm and compared on the basis of performance parameters like residual energy, end to end delay and throughput of the network. In the future other machine learning must be implemented and compared with the existing approach.

Keywords- Clustering, WSN, Bat Algorithm

Unique Identification Number - IJEDR1604044
Page Number(s) - 275-279
Pubished in - Volume 4 | Issue 4 | November 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Kavita,  Dr. Ramesh Chand Kashyap,   "Improved Bat Algorithm Based Clustering In WSN", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 4, pp.275-279, November 2016, Available at :http://www.ijedr.org/papers/IJEDR1604044.pdf