Enhancing Energy Efficiency in WSN using Energy Potential and Energy Balancing Concepts

Sheetalrani Rukmaji Kawale

Abstract


There are many different energy aware routing protocols proposed in the literature, most of them focus only on energy efficiency by finding the optimal path to minimize energy consumption. These protocols should not only aim for energy efficiency but also for energy balance consumption. In this work, energy balanced data gathering routing algorithm is developed using the concepts of potential in classical physics [16]. Our scheme called energy balanced routing protocol, forwards data packets toward the sink through dense energy areas so as to protect the nodes with relatively low residual energy. This is to construct three independent virtual potential fields in terms of depth, energy density and residual energy. The depth field is used to establish a basic routing paradigm which helps in moving the packets towards the sink. The energy density field ensures that packets are always forwarded along the high energy areas. Finally, the residual energy field aims to protect the low energy nodes. An energy-efficient routing protocol, tries to extend the network lifetime through minimizing the energy consumption whereas energy balanced with efficiency routing protocol intends to prolong the network lifetime through uniform energy consumption with efficiently.


Keywords


Sensor networks, energy efficient routing, potential fields, low energy nodes.

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References


Books

Andrew S. Tanenbaum, Computer Networks, Prentice Hall of India Publications, 4th Edition, 2006.

Carlos Golmez, Joseph Padelles, Sensors Everywhere,Prentice Hall of India Publication, 4th Edition.

Papers

J. Evans, D. Raychaudhuri, and S. Paul, “Overview of Wireless, Mobile and Sensor Networks in GENI,†GENI Design Document 06- 14, Wireless Working Group, 2006.

S. Olariu and I. Stojmenovi_c, “Design Guidelines for Maximizing Lifetime and Avoiding Energy Holes in Sensor Networks with Uniform Distribution and Uniform Reporting,†Proc. IEEE INFOCOM, 2006.

Ian F. Akyildizon, Weilian Su, Yogesh Sankasubramanium and Erdal Cayirici, A Survey on Sensor Networks, IEEE communications Magazine, August 2002, pp 102 - 114

H. Zhang and H. Shen, “Balancing Energy Consumption to Maximize Network Lifetime in Data-Gathering Sensor Networks,†IEEE Trans. Parallel and Distributed Systems, vol. 20, no. 10, pp. 1526-1539, Oct. 2009.

W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “Energy- Efficient Communication Protocols for Wireless Microsensor Networks,†Proc. Hawaiian Int’l Conf. Systems Science, 2000.

O. Younis and S. Fahmy, “HEED: A Hybrid, Energy-Efficient Distributed Clustering Approach for Ad Hoc Sensor Networks,†IEEE Trans. Mobile Computing, vol. 3, no. 4, pp. 366-379, Oct.-Dec. 2004.

M. Singh and V. Prasanna, “Energy-Optimal and Energy-Balanced Sorting in a Single-Hop Wireless Sensor Network,†Proc. First IEEE Int’l Conf. Pervasive Computing and Comm., 2003.

H. Lin, M. Lu, N. Milosavljevic, J. Gao, and L.J. Guibas, “Composable Information Gradients in Wireless Sensor Networks,†Proc. Seventh Int’l Conf. Information Processing in Sensor Networks (IPSN), pp. 121-132, 2008.

Y. Xu, J. Heidemann, and D. Estrin, “Geography-Informed Energy Conservation for Ad-Hoc Routing,†Proc. ACM MobiCom, 2001.

V. Rodoplu and T.H. Meng, “Minimum Energy Mobile Wireless Networks,†IEEE J. Selected Areas in Comm., vol. 17, no. 8, pp. 1333- 1344, Aug. 1999.

W. Heinzelman, J. Kulik, and H. Balakrishnan, “Adaptive Protocols for Information Dissemination in Wireless Sensor Networks,†Proc. ACM MobiCom, 1999.

D.H. Armitage and S.J. Gardiner, Classical Potential Theory. Springer, 2001.

C. Schurgers and M. Srivastava, “Energy Efficient Routing in Wireless Sensor Networks,†Proc. Military Comm. Conf. (MILCOM), 2001.

K. Kalpakis, K. Dasgupta, and P. Namjoshi, “Maximum Lifetime Data Gathering and Aggregation in Wireless Sensor Networks,†Proc. IEEE Int’l Conf. Networking (ICN), pp. 685-696, 2002.

Amol Bakshi, Viktor K.Prasanna, “Energy-Efficient Communication in Multi-Channel Single-Hop Sensor Networks.†Proceeding ICPADS ’04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference, page 403.

Jing Wang , Dept. of ECE, North Carolina Univ., Charlotte, NC ,“Power Efficient Stochastic - Wireless Sensor Networks.†Wireless Communications and Networking Conference,2006.WCNC2006.IEEE, page 419-424.

Li Hong , Shu-Ling Yang,“An Overall Energy-Balanced Routing Protocol for Wireless Sensor Network.†Information and Automation for Sustainability, 2008. ICIAFS 2008. 4th International Conference, page 314-318.

Lin Wang, Ruihua Zhang, Shichao Geng,“An Energy-Balanced Ant-Based Routing Protocol for Wireless Sensor Networks.†Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on, page 1-4.

Talooki, Marques. H, Rodriguez. J, Aqua, H. Blanco. N, Campos. L,“An Energy Efficient Flat Routing Protocol for Wireless Ad Hoc Networks.†Computer Communications and Networks (ICCCN), 2010 Proceedings of 19th International Conference, page 1-6.

Links:

www.google.com.

http://en.wikipedia.org/wiki/Wireless_network.

http://oretan2011.wordpress.com/2011/01/28/wireless-sensor-network-wsn/

http://en.wikipedia.org/wiki/WSN


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ISSN: 1694-2507 (Print)

ISSN: 1694-2108 (Online)