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An Adaptive Distributed Clustering with Topology Control approach for Sensor Networks


Dr. M. Senthil KUmaran
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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.

Dr. M. Senthil KUmaran

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

  1. Renita Machado, Wensheng Zhang, Guling Wang and Sirni Tekinay,“Coverage Properties of Clustered Wireless Sensor Networks”, ACM Transactions on Sensor Networks. (August 2010) 13-21.
  2. W. Heinzelman, A. Chandrakasan, H. Balakrishnan, “An Application Specific Protocol Architecture for Wireless Micro sensor Networks”, IEEE Trans. Wireless Comm. 1 (2002) 660-670.
  3. M.Senthil Kumaran, and R. Rangarajan, “ An Adaptive Power Resourceful and Energy Conscious Protocol for Multi channel Medium Access Control layer in Wireless sensor Networks”, International Journal of Computer and Network Security, vol. 2, no. 7, pp. 32-36, July 2010.
  4. S.R. Madden, M.J. Franklin, J.M. Hellerstein, W. Hong, “TAG: Tiny AGgregation Service for ad hoc sensor networks, Proc. Fifth Symp. Operating Systems Design and Implementation (OSDI ’02). (2002) 131-146.
  5. Jing Wang, Younge Liu and Sajal K. Das, “Energy- Efficient Data Gathering in Wireless Sensor Networks with Asynchronous Sampling”, ACM Transactions on Sensor Networks. (June 2010) 22-37.
  6. P. Gupta, P.R. Kumar, The Capacity of wireless networks, IEEE Trans. on Information Theory. 46 (2000) 388-404.
  7. S. Ghiasi, A. Srivastava, X. Yang, M. Sarrafzadeh, “Optimal Energy Aware Clustering in Sensor Networks”, Sensors. (2002) 258- 269.
  8. J.J. Lee, B. Krishnamachari, C.C.J. Kuo, “Impact of Heterogeneous Deployment on Lifetime Sensing Coverage in Sensor Networks”, Proc. IEEE Sensor and Ad Hoc Comm. and Networks Conf. (SECON ’04), (2004) 367-376.
  9. P.K. Agarwal, C.M. Procopiuc, Exact and Approximation Algorithms for Clustering, Algorithmica. 33 (2002) 201- 226.

Publication Details

Published in : Volume 2 | Issue 3 | May-June - 2016
Date of Publication Print ISSN Online ISSN
2016-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
252-255 IJSRSET162321   Technoscience Academy

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.
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