Design of Analytical energy consumption model for data transfer over wireless links
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https://doi.org/10.14419/ijet.v7i2.24.12699 -
Cluster-based, Energy Consumption, Wireless Sensor Networks, Clustering. -
Abstract
This project investigates about the lowering of vitality utilization in group based remote sensor systems(WSNs). It uses Clustering technique and QPSK methods to lower the energy consumption of nodes in WSNs. This approach has a big advantage to prolong the lifetime of the WSN. The results show that clustering reduces traffic flow, limits vitality utilization, and broaden the lifetime of the sensor network. This project is also implemented with security, effective communication by using set ibs protocol.
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References
[1] I. Akyildiz, S. Weilian, Y. Sankarasubramaniam and E. Cayirci, “A Survey on sensor networks,†IEEE Communications Mag., vol. 40, no. 8, pp. 102-114, 2002.
[2] C. S. Murthy and B. S. Manoj. Ad Hoc Wireless Networks: Architectures And Protocols, Prentice Hall PTR Upper Saddle River, 2004.
[3] K.Sathya, V.Manimala.“Minimised architecture for mix column representationâ€, 2nd IEEE International Conference on Engineering and Technology (ICETECH), 17th & 18th March 2016.
[4] S. Prabhu and S. Sophia, “A survey of adaptive distributed clustering algorithm for wireless sensor networks, “International Journal of Computer Science & Engineering Survey, vol 2, no. 4, 2011.
[5] V. Kumar, S. Jain and S. Tiwari, “Energy efficient clustering algorithm in wireless sensor networks: a survey, “International Journal of Computer Science Issues, vol 8, no. 2, pp. 259-268, 2011.
[6] S. Gandham, M. Dawande, R Prakash and S. Venkatesan, “Energy efficient schemes for wireless sensor networks with multiple mobile base stations,†QPSK output Proceedings of The IEEE GLOBECOM, 2003.
[7] M. Andrews and M. Dinitz, “Maximizing capacity in arbitrary wireless networks in the SINR model: complexity and game theory,†in Proc. IEEE INFOCOM, pp. 1332-1340, 2009.
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How to Cite
Ananda Venkatesan, B., & Purushottam, P. (2018). Design of Analytical energy consumption model for data transfer over wireless links. International Journal of Engineering & Technology, 7(2.24), 592-594. https://doi.org/10.14419/ijet.v7i2.24.12699Received date: 2018-05-10
Accepted date: 2018-05-10