RBNS Encoded Energy Efficient Routing Protocol for Wireless Sensor Network
Автор: Indrajit Bhattcharya, Prasun Sarkar, Priyasha Basu
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 5 Vol. 6, 2014 года.
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Self Organizing Wireless Sensor Networks (WSN) is an emergent and challenging technology that is applicable to various real life scenarios. Different routing protocols in the WSN have been proposed over the years. In this type of network the major concern is the energy constraint sensor nodes that operate on limited battery power. Hence energy efficient routing algorithm in WSN need to be developed in order to address the battery power constraint of the sensor nodes. Minimizing the communication overhead during the data transmission and reception can considerably reduce the energy requirement of the sensor nodes. Redundant Binary Number System (RBNS) is one of the energy efficient techniques that can reduce the communication overhead by reducing the number of 1’s required to communicate in a data packet. In our proposed work the RBNS communication technique is applied with an existing popular routing protocol in WSN to achieve an energy efficient routing protocol. The algorithm has been successfully implemented in a simulated environment and the result that has obtained demonstrates the significant enhancement of network lifetime of the sensor network.
Wireless Sensor Network, Redundant Binary Number System, Energy- Efficient Routing
Короткий адрес: https://sciup.org/15012087
IDR: 15012087
Список литературы RBNS Encoded Energy Efficient Routing Protocol for Wireless Sensor Network
- Koushik Sinha and Bhabani P. Sinha. A Recurrence Relation Characterizing Run Distributions in the Context of Sensor Networks. Int. Jr. of Advanced Computer Engineering & Architecture, Vol. 2, No. 2, pp. 321-330, June-December, 2012.
- Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. Proceedings of 33rd Hwaii International Conference on System Sciences, pp. 1-10, 2000.
- Shio Kumar Singh, M P Singh, and D K Singh. Routing Protocols in Wireless Sensor Networks – A Survey. International Journal of Computer Science & Engineering Survey (IJCSES) Vol.1, No. 2, pp. 63-83, November 2010.
- K. Sinha, B. P. Sinha and D. Datta. An energy efficient communication scheme for wireless networks: a redundant radix-based approach. IEEE Transactions on Wireless Communications, Vol. 10, No. 2, pp. 550-559, 2011.
- B.Baranidharan, B.Shanthi. A Survey on Energy Efficient Protocols for Wireless Sensor Networks. International Journal of Computer Applications, Vol. 11, No. 10, pp. 0975-8887, December 2010.
- LAN/MAN Standards Committee, IEEE Standard for Local and metropolitan area networks- Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs), IEEE Computer Society Approved 16 June 2011, IEEE-SA Standards Board.
- Jun Zheng and Abbas Jamalipour. Wireless Sensor Networks: A Networking Perspective. A book published by A John & Sons, Inc, and IEEEE, 2009.
- S. Misra et al. (eds.). Guide to Wireless Sensor Networks, Computer Communications and Networks, DOI: 10.1007/978-1-84882-218-4 4, Springer-Verlag London Limited 2009.
- K. Scott and N. Bambos. Routing and Channel Assignment for Low Power Transmission in PCS. In 5th IEEE Int. Conf. on Universal Personal Communications, Volume 2, pp. 498-502, September 1996.
- T. Shepard. A Channel Access Scheme for Large Dense Packet Radio Networks. In Proc. ACM SIGCOMM, pp. 219–230, August 1996.
- M. Dong, K. Yung and W. Kaiser. Low Power Signal Processing Architectures for Network Microsensors. In Proceedings of International Symposium on Low Power Electronics and Design, pp. 173–177, Aug. 1997.
- D. Dudgeon and R. Mersereau. Multidimensional Digital Signal Processing. Chapter 6, Prentice-Hall, Inc. 1984.
- M. Ettus. System Capacity, Latency, and Power Consumption in Multihop-routed SS-CDMA Wireless Networks. In Radio and Wireless Conference (RAWCON ’98), pp. 55–58, August 1998.
- D. Hall. Mathematical Techniques in Multisensor Data Fusion. Artech House, Boston, January 2004.
- L. Klein. Sensor and Data Fusion Concepts and Applications. SPIE Optical Engr. Press, WA, 1993.
- X. Lin and I. Stojmenovic. Power-Aware Routing in Ad Hoc Wireless Networks. In SITE, University of Ottawa, TR-98-11, Dec. 1998.
