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Multilevel Modeling in Heterogeneous Wireless Sensor Network for Improved Energy Efficiency


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1 Department of Computer Science and Engineering, Gnanamani College Technology, India
     

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In this paper, two primary and secondary parameters are proposed for a heterogeneous network model (HNM). In such a model, the heterogeneous network describes nodes with a finite energy level based on the parameter value. It evaluates the performance of the proposed HNM protocol and further tests the HNM multilevel protocol. For a finite heterogeneity level MHNM protocol is denoted by MLHNM-n. The secondary parameter determines the total nodes at each level of heterogeneity. The proposed protocol provides two parameters for determining the energy and density of the cluster heads of residual nodes. The proposed protocol will be tested by six level networks. The energy dissipation decreases and results in an increase in network life.

Keywords

Network Lifetime, Multi Heterogeneity, Number of Rounds, Clustering.
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  • I.F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, “Wireless Sensor Networks: A Survey”, Computer Networks, Vol. 38, No. 4, pp. 393-422, 2002.
  • Tomi D. Raty, “Survey on Contemporary Remote Surveillance Systems for Public Safety”, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), Vol. 40, No. 5, pp. 493-515, 2010.
  • W.R. Heinzelman, A.P. Chandrakasan and H. Balakrishnan, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks”, Proceedings of 33rd Hawaii International Conference on System Sciences, pp. 1-10, 2000.
  • W.R. Heinzelman, A.P. Chandrakasan and H. Balakrishnan, “An Application Specific Protocol Architecture for Wireless Microsensor Networks”, IEEE Transactions on Wireless Communications, Vol. 1, No. 4, pp. 660-670, 2002.
  • G. Smaragdakis, I. Matta and A. Bestavros, ‘‘SEP: A Stable Election Protocol for Clustered Heterogeneous WSNs”, Proceedings of 2nd International Workshop on Sensor and Actor Network Protocols and Applications, pp. 1-11, 2004.
  • L. Qing, Q. Zhu and M. Wang, “Design of A Distributed Energy-Efficient Clustering Algorithm for Heterogeneous WSNs”, Computer Communications, Vol. 29, No. 12, pp. 2230-2237, 2006.
  • Ying Lin, Jun Zhang, Henry Shu Hung Chung, Wai Hung Ip, Yun Li and Yu-Hui Shi, “An Ant Colony Optimization Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks”, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), Vol. 42, No. 3, pp. 408-420, 2012.
  • E. Brahim, S. Rachid and D. Aboutajdine, “Stochastic and Equitable Distributed Energy-Efficient Clustering (SEDEEC) for Heterogeneous Wireless Sensor Networks”, International Journal of Ad Hoc and Ubiquitous Computing, Vol. 7, No. 1, pp. 4-11, 2011.
  • D. Kumar, R.B. Patel and T.C. Aseri, “Prolonging Network Lifetime and Data Accumulation in Heterogeneous Sensor Networks”, International Arab Journal of Information Technology, Vol. 7, No. 3, pp. 302-309, 2010.
  • D. Kumar, R.B. Patel and T.C. Aseri, “EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks”, International Journal of Computers Communications and Control, Vol. 6, No. 1, pp. 113-124, 2011.
  • D. Kumar, “Distributed Stable Cluster Head Election (DSCHE) Protocol for Heterogeneous Wireless Sensor Networks”, International Journal of Information Technology, Communications and Convergence, Vol. 2, No. 1, pp. 90-103, 2012.
  • T.N. Qureshi, N. Javaid, A.H. Khan, A. Iqbal, E. Akhtar and M. Ishfaq, “BEENISH: Balanced Energy Efficient Network Integrated Super Heterogeneous Protocol for Wireless Sensor Networks”, Procedia Computer Science, Vol. 19, pp. 920-925, 2013.
  • O. Younis and S. Fahmy, “Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid, Energy-Efficient Approach”, Proceedings of International Conference on Computer Communications, pp. 1-4, 2004.
  • S. Chand, S. Singh and B. Kumar, “Heterogeneous HNM Protocol for Wireless Sensor Networks”, Wireless Personal Communications, Vol. 77, No. 3, pp. 2117-2139, 2014.
  • S. Chand, S. Singh and B. Kumar, “Energy-Efficient protocols using Fuzzy Logic for Heterogeneous WSNs”, Wireless Personal Communications, Vol. 86, No. 2, pp. 451-475, 2015.
  • Ali Sedighimanesh, Mohammad Sedighimanesh and Javad Baqeri, “Improving Wireless Sensor Network Lifetime using Layering in Hierarchical Routing”, Proceedings of 2nd International Conference on Knowledge-Based Engineering and Innovation, pp. 1145-1149, 2015.
  • D. Kumar, “Performance Analysis of Energy Efficient Clustering Protocols for Maximising Lifetime of Wireless Sensor Networks”, IET Wireless Sensor Systems, Vol. 4, No. 1, pp. 9-16, 2014.
  • F. Farouk, R. Rizk and F.W. Zaki, “Multi-Level Stable and Energy-Efficient Clustering Protocol in Heterogeneous Wireless Sensor Networks”, IET Wireless Sensor Systems, Vol. 4, No. 4, pp. 159-169, 2014.

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  • Multilevel Modeling in Heterogeneous Wireless Sensor Network for Improved Energy Efficiency

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Authors

R. Lakshminarayanan
Department of Computer Science and Engineering, Gnanamani College Technology, India
S. Sakthivel
Department of Computer Science and Engineering, Gnanamani College Technology, India

Abstract


In this paper, two primary and secondary parameters are proposed for a heterogeneous network model (HNM). In such a model, the heterogeneous network describes nodes with a finite energy level based on the parameter value. It evaluates the performance of the proposed HNM protocol and further tests the HNM multilevel protocol. For a finite heterogeneity level MHNM protocol is denoted by MLHNM-n. The secondary parameter determines the total nodes at each level of heterogeneity. The proposed protocol provides two parameters for determining the energy and density of the cluster heads of residual nodes. The proposed protocol will be tested by six level networks. The energy dissipation decreases and results in an increase in network life.

Keywords


Network Lifetime, Multi Heterogeneity, Number of Rounds, Clustering.

References