Optimization of energy efficient cellular learning automata algorithm for heterogeneous wireless sensor networks

Wireless sensor networks is an effective tool consisting a large number of small sensors and small embedded devices each with sensing, computation and communication capabilities for gathering data in various environments. Energy consumption is an important issue in the design of WSNs. To overcome the above limitation, efficient method like Cellular Learning Automata(CLA) and Heterogeneous-Hybrid Energy Efficient Distributed(H-HEED)technique have been used in distributed dynamic clustering. The existing method will be the Cellular learning automata in which cluster heads will be selected through several stages by considering their parameters. The proposed method selects the cluster head based on the residual energy of the nodes. Their performance is observed using NS2 simulator and comparison has been made to find the best efficient method.

[1]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[2]  Lui Sha,et al.  Dynamic clustering for acoustic target tracking in wireless sensor networks , 2003, IEEE Transactions on Mobile Computing.

[3]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[4]  Dhiraj K. Pradhan,et al.  A cluster-based approach for routing in dynamic networks , 1997, CCRV.

[5]  Murat Demirbas,et al.  FLOC : A Fast Local Clustering Service for Wireless Sensor Networks , 2004 .

[6]  Ravi Prakash,et al.  Max-min d-cluster formation in wireless ad hoc networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[7]  Samir Khuller,et al.  A clustering scheme for hierarchical control in multi-hop wireless networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[8]  Mohammad Reza Meybodi,et al.  Energy-efficient and Multi-stage Clustering Algorithm in Wireless Sensor Networks Using Cellular Learning Automata , 2013 .

[9]  Mehmet Gonullu,et al.  Department of Computer Science and Engineering , 2011 .

[10]  Donggang Liu.  Resilient Cluster Formation for Sensor Networks , 2007, 27th International Conference on Distributed Computing Systems (ICDCS '07).