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RBHR: Region-Based Hybrid Routing Protocol for Wireless Sensor Networks Using AI Technique

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 336)

Abstract

In past few years, lots of advances and techniques have been explored for the optimization of energy usage in wireless sensor networks (WSNs), and the routing protocol based on energy parameter is used to extend lifetime and throughput of the sensor networks. The paper proposed a region-based hybrid routing (RBHR) protocol in which region-based clustering is used for deployment of different types of sensor nodes in different regions according to their energy level, and hybrid routing is used for data transmission. The proposed protocol uses artificial intelligence (AI) technique for cluster head (CH) election to minimize the energy consumption in the network. We implemented region-based hybrid routing protocol and compare it with stable election protocol (SEP). A simulation result shows that proposed protocol enhances the throughput and lifetime of the sensor network.

Keywords

  • Region-based clustering
  • Hybrid routing
  • Lifetime
  • Throughput
  • AI technique

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References

  1. Mahajan, S., Dr. Malhotra, J.: Energy efficient control strategies in heterogeneous wireless sensor networks: a survey. Int. J. Comput. Appl. (0975–8887) 14(6) (2011)

    Google Scholar 

  2. Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocols for wireless microsensor networks. In: Proceedings of the 33rd Hawaii International Conference on Systems Science, vol. 8, pp. 3005–3014 (2000)

    Google Scholar 

  3. Chang, J.H., Tassiulas, L.: Energy conserving routing in wireless ad-hoc networks. In: IEEE INFOCOM (2000)

    Google Scholar 

  4. Michail, A., Ephremides, A.: Energy efficient routing for connection-oriented traffic in ad-hoc wireless networks. Technical Report, Department of Electrical and Computer Engineering and Institute for Systems Research, University of Maryland (2000)

    Google Scholar 

  5. Smaragdakis, G., Matta, I., Bestavros, A.: SEP: a stable election protocol for clustered heterogeneous wireless sensor networks. In: Proceedings of 2nd International Workshop on Sensor and Actor Network Protocols and Applications (SANPA’2004) (2004)

    Google Scholar 

  6. Soro, S., Henizelman, W.B.: Prolonging the lifetime of wireless sensor networks via unequal clustering. In: Proceedings of 5th IEEE International Workshop on Algorithms for Wireless Mobile Ad Hoc and Sensor Networks, Denver, Colorado, Apr 2005

    Google Scholar 

  7. Manjeshwar A., Agrawal D.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of 1st International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, San Francisco (2001)

    Google Scholar 

  8. Aderohunmu, F.A., Deng, J.D.: An enhanced stable election protocol (SEP) for clustered heterogeneous WSN (No. 2009/07). Discussion Paper Series (2009)

    Google Scholar 

  9. Latif, K., Ahmad, A., Javaid, N., Khan, Z.A.: Divide and rule scheme for energy efficient routing in wireless sensor networks. In: 4th International Conference on ANT, Mar 2013

    Google Scholar 

  10. Sugihara, R., Gupta, R.: Sensor localization with deterministic accuracy guarantee. In: Proceedings of IEEE INFOCOM, pp. 1772–1780 (2011)

    Google Scholar 

  11. Torghabeh, N.A., et al.: Cluster head election using a two-level fuzzy logic in wireless sensor networks. In: 2nd International Conference on Computer Engineering and Technology IEEE, vol. 2, 07 Aug 2010

    Google Scholar 

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Correspondence to Sonam Maurya .

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Maurya, S., Daniel, A.K. (2015). RBHR: Region-Based Hybrid Routing Protocol for Wireless Sensor Networks Using AI Technique. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_4

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  • DOI: https://doi.org/10.1007/978-81-322-2220-0_4

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2219-4

  • Online ISBN: 978-81-322-2220-0

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