3-Tier Heterogeneous Network Model for Increasing Lifetime in Three Dimensional WSNs

Homogeneous algorithms assume that the entire sensor node equipped with equal amount of energy. In this paper, a network model has been proposed which incorporate heterogeneity in term of their energy. The term heterogeneity means nodes equipped with dissimilar amount of energy. This model contains three tier node heterogeneity namely tier-1, tier-2, and tier-3 heterogeneity. We assume that nodes are equipped in three dimensions, not mobile, and randomly distributed. It performance is compared with 3D-ALBP, called 3D-hetALBP. Finally, the simulation results demonstrate that our proposed heterogeneous algorithm is more effective in prolonging the network lifetime compared with 3D-ALBP.

[1]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[2]  Sushil K. Prasad,et al.  Distributed Scheduling of a Network of Adjustable Range Sensors for Coverage Problems , 2010, ICISTM.

[3]  Alex Zelikovsky,et al.  DEEPS: Deterministic Energy-Efficient Protocol for Sensor networks , 2006, Seventh ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD'06).

[4]  Miodrag Potkonjak,et al.  Power efficient organization of wireless sensor networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[5]  G. Calinescu,et al.  EFFICIENT ENERGY MANAGEMENT IN SENSOR NETWORKS , 2004 .

[6]  R. B. Patel,et al.  EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks , 2009, Comput. Commun..

[7]  Lili Zhang,et al.  An Effective Data Gathering Scheme in Heterogeneous Energy Wireless Sensor Networks , 2009, 2009 International Conference on Computational Science and Engineering.

[8]  Li Qing,et al.  Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks , 2006, Comput. Commun..

[9]  Jie Wu,et al.  Improving network lifetime using sensors with adjustable sensing ranges , 2006, Int. J. Sens. Networks.

[10]  Piotr Berman,et al.  Power efficient monitoring management in sensor networks , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[11]  Sartaj Sahni,et al.  Information Systems, Technology and Management - Third International Conference, ICISTM 2009, Ghaziabad, India, March 12-13, 2009. Proceedings , 2009, ICISTM.