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An Efficient Energy Savings Schemes using Adjacent Lossless Entropy Compression for WSN
( Vol-4,Issue-7,July 2017 )
Author(s):

Cisil Baby, Dr .H. N. Suresh

Keywords:

Multi-hop routing, LEACH, LEC compression, Energy consumption., network lifetime,

Abstract:

The proposed work aims at designing routing method and data compression algorithm for WSN’s. An ad-hoc network (WANET) is considered and based on certain criteria the data is forwarded dynamically. Various parameters such as Compression Ratio, Packet Delivery Rate, Energy consumption are considered to determine the efficiency of the network. One of the primary parameters to be considered in the configuration of Wireless Sensor Networks (WSN) is the energy consumption of the nodes and the data throughput. Since the nodes are controlled by batteries with lower energy limit, it is required to minimize the energy utilization. Henceforth a proficient routing technique in light of LEACH protocol is proposed alongside the utilization of A-LEC data compression strategy.The simulations are carried out through Network Simulator 2 (NS2). The compression code is written in GNU-C

ijaers doi crossref DOI:

10.22161/ijaers.4.7.23

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  • Page No: 146-150
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References:

[1] M. Sadler and M. Martonosi, “Data compression algorithms for energy-constrained devices in delay tolerant networks,” in Proc. 2006 International Conference on Embedded Networked Sensor Systems, pp. 265–278.
[2] F. Marcelloni and M. Vecchio, “A simple algorithm for data compression in wireless sensor networks,” IEEE Commun. Lett., vol. 12, no. 6, pp. 411–413, 2008.
[3] J. Teuhola, “A compression method for clustered bit-vectors,” Inf. Process. Lett., vol. 7, no. 6, pp. 308–311, 1978.
[4] H. Nakayama, N. Ansari, A. Jamalipour, Y. Nemoto, N. Kato, On data gathering and security in wireless sensor networks, in: Sarnoff Symposium, IEEE, 2007, pp. 1–7 (30 2007-May 2).
[5] J. Al-Karaki, A. Kamal, Routing techniques in wireless sensor networks: a survey, IEEE Wireless Communications 11 (6) (2004) 6–28.
[6] C.-K. Toh, Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks, IEEE Communications Magazine 39
[7] W. Heinzelman, A. Chandrakasan, H. Balakrishnan, An application-specific protocol architecture for wireless microsensor networks, IEEE Transactions on Wireless Communications 1 (4) (2002) 660–670.
[8] T A Welsch “ High Performance Data compression” , computer Vol 17
[9] P Elias “ Predictive oding” IRE Transf. Information Theory” Vol 7 [10] Shivashankar and Varaprasad. G, Implementing a New Power Aware Routing Algorithm Based on Existing DSR Protocol for MANETs, International Journal of Communication Networks and Distributed Systems, Vol. 10, Issue 2, 2012,
[10] Karthikeyan. N, Palanisamy V, Duraiswamy. K, A Performance Evaluation Of Proactive And Reactive Protocols Using ns-2 Simulation, International Journal of Engineering Research &Indusrial Applications, Vol.2, No.11, pp 309-326, 2009.
[11] Mohd Izuan Mohd Saad Performance Analysis of Random-Based Mobility Models in MANET Routing Protocol, European Journal of Scientific Research, Vol.32, No.4, pp.444-454, 2009.