Abstract
Recent advances in wireless communication have led to rapid development of wireless sensor networks. The power management and power efficiency of the network are the biggest challenges that are to be addressed in this field. One of the most important areas to be concentrated in this field is, the way the sensors communicate with each other such that the energy consumption is reduced. The energy consumption can be reduced by restricting the computation and communication by all the nodes in the network. Clustering of the nodes is one such method used for selection of only specific nodes for communication in the network. In this paper we propose a new clustering protocol which improves the lifetime of the sensor network as compared to the conventional communication protocol used for transmitting directly to the base station. We employ triangulationto cluster the sensor nodes and elect a head node to communicate with base station. The simulation results of our protocol and the conventional protocol shows that our protocol is energy efficient and gives a longer lifetime to the network. Also we give an application of the protocol in the reprogramming of network.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Singh, S., Woo, M., Raghavendra, C.: Power-Aware Routing in Mobile Ad Hoc Networks. In: The Proceedings of the Fourth Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom 1998), pp. 66–75 (October 1998)
Rabiner, W., Heinzelman, Chandrakasan, A., Balakrishnan, H.: Energy Efficient Communication Protocol for Wireless Microsensor Networks. In: The Proceedings of the Hawaii International Conference on System Sciences, Maui, Hawaii, January 4-7 (2000)
Kumar, H., Sarma, D., Kar, A., Mall, R.: Energy Efficient Communication Protocol for a Mobile Wireless Sensor Network System. IJCSNS Power-Aware Routing in Mobile Ad Hoc Networks International Journal of Computer Science and Network Security 9(2), 384–396 (2009)
Golsorkhtabar, M., Hosinzadeh, M., Heydari, M.J., Rasouli, S.: New Power Aware Energy Adaptive Protocol with Hierarchical Clustering for WSN. IJCSNS International Journal of Computer Science and Network Security 2(4), 38–40 (2010)
Jiang, J.-R., et al.: A Hybrid Power-Saving Protocol by Dual-Channel and Dual-Transmission-Range Clustering for IEEE 802.11-Based MANETs. International Journal of Pervasive Computing and Communications 3(3) (2005)
Zhang, J.-w., Ji, Y.-y., Zhang, J.-j., Yu, C.-l.: A Weighted Clustering Algorithm Based Routing Protocol in Wireless Sensor. In: ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, vol. (2), pp. 599–602 (2008)
Wang, Y., Ramamurthy, B.: Layered Clustering Communication Protocol for Wireless Sensor Networks. In: Proceedings of 16th International Conference on Computer Communications and Networks, pp. 844–849 (August 2007)
Gupta, I., Riordan, D., Sampalli, S.: Cluster-head Election using Fuzzy Logic for Wireless Sensor Networks. In: Proceedings of the 3rd Annual Research Conference on Communication Network and Services, pp. 255–260 (May 2005)
Aslam, N., Phillips, W., Robertson, W.: A Unified Clustering and Communication Protocol for Wireless Sensor Networks. IAENG International Journal of Computer Science 3(35), 249–258 (2008)
Enami, N., Moghadam, R.A.: Energy Based Clustering Self Organizing Map Protocol For extending Wireless Sensor Networks lifetime and coverage. Canadian Journal on Multimedia and Wireless Network 1(4), 42–54 (2010)
Kulkarni, S., Wang, L.: Energy-Efficient Multihop Reprogramming for Sensor Networks. ACM Transactions on Sensor Networks 5(2), Article 16 (March 2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kanavalli, A., Bharath, G.P., Shenoy, P.D., Venugopal, K.R., Patnaik, L.M. (2011). Triangulation Based Clustering for Improving Network Lifetime in Wireless Sensor Networks. In: Wyld, D.C., Wozniak, M., Chaki, N., Meghanathan, N., Nagamalai, D. (eds) Trends in Network and Communications. WeST NeCoM WiMoN 2011 2011 2011. Communications in Computer and Information Science, vol 197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22543-7_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-22543-7_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22542-0
Online ISBN: 978-3-642-22543-7
eBook Packages: Computer ScienceComputer Science (R0)