An Adaptive Distributed Clustering with Topology Control approach for Sensor Networks

Authors(1) :-Dr. M. Senthil KUmaran

Adaptive distributed clustering with topology control is added in the sensor network for organizing the sensor nodes in an effective approach and energy consumption. In a cluster, effective inter-and intra-node communication is essential for the workload sense of balance among the nodes, updating new nodes in the network, increasing the network lifetime and valuable resource exploitation. This mechanism is suitable for streaming of data, scalable to huge dimension networks, detachment of the sensor nodes in to level headed sets faster and extensively speeds up the communication among nodes compared to the adaptive and optimal distributed clustering algorithm. This proposal includes the least connection algorithm which directs link connections to the cluster head with the least number of established connections among the nodes. Simulation results show that the performance of adaptive distributed clustering provides higher throughput and energy consumption.

Authors and Affiliations

Dr. M. Senthil KUmaran
Department of Computer Science and Engineering, SCSVMV University, Kanchipuram, Tamil Nadu, India

Cluster Head, Energy Consumption, Least Collection Algorithm, Medium Access Control, Tool Command Language

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2016
Date of Publication : 2016-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 252-255
Manuscript Number : IJSRSET162321
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Dr. M. Senthil KUmaran, " An Adaptive Distributed Clustering with Topology Control approach for Sensor Networks, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.252-255, May-June-2016.
Journal URL : http://ijsrset.com/IJSRSET162321

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