MERCC: Multiple Events Routing with Congestion Control for WSN

  • Ayan Kumar Das
  • Rituparna Chaki
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 176)


Wireless sensor networks consisting of many small sensor nodes with limited power resources, are useful in gathering data in different environment. Some of the algorithms focus on setting up an event path and the nodes get the information by sending the queries to the event path. On the other hand some algorithms flood the event information from source node to its neighbors and from neighbors to the neighbors of neighbors and so on. The first type involves extra delay, and the second type consumes more power. In this paper we introduce a new protocol ‘MERCC’ which can handle multiple events at a single instance with power effective methodology. MERCC tries to retain the performance even in case of network congestion.


Event categorization Congestion Control Event Priority Event Number Network longevity and Flooding 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Karim, L., Nasser, N., El Salti, T.: Efficient Zone-based Routing Protocol of Sensor Network in agriculture monitoring systems. Communications and Information Technology, ICCIT (2011) ISBN: 978-1-4577-0401-7, Issue Date: March 29-31Google Scholar
  2. 2.
    Das, A.K., Chaki, R.: A Novel Power-Balanced Routing Scheme for WSN. In: Özcan, A., Zizka, J., Nagamalai, D. (eds.) WiMo 2011 and CoNeCo 2011. CCIS, vol. 162, pp. 24–34. Springer, Heidelberg (2011)Google Scholar
  3. 3.
    Das, A.K., Ghosh, D., Majumder, P.: Intelligent Energy Efficient Routing For Ad Hoc Sensor Network by Designing QCS Protocol. In: Proceedings of The Second International Workshop on Adhoc, Sensor and Ubiquitous Computing (ASUC 2011). LNCS(CCIS). Springer (June 2011)Google Scholar
  4. 4.
    Jain, S., Kaushik, P., Singhai, J.: Greedy Heuristic Based Energy Efficient Routing in Wireless Sensor Network. In: Nagamalai, D. (ed.) PDCTA 2011. Part 1, CCIS, vol. 203, pp. 282–292. Springer, Heidelberg (2011), doi:10.1007/978-3-642-24037-9_27Google Scholar
  5. 5.
    Gong, B.-C., Li, L.-Y., Jiang, T.-Y., Xu, S.-Z.: Distributed Spanning Tree-Based Routing Protocol for Wireless Sensor Networks. Microelectronics & Computer 25(11) (2008)Google Scholar
  6. 6.
    Siva Kumar, D., Bhuvaneswaran, R.S.: Proposal on Multi agent Ants based Routing Algorithm for Mobile Adhoc Networks. IJCSNS International Journal of Computer Science and Network Security 7(6) (June 2007)Google Scholar
  7. 7.
    Camilo, T., Carreto, C., Silva, J.S., Boavida, F.: An Energy-Efficient Ant-Based Routing Algorithm for Wireless Sensor Networks. In: Dorigo, M., Gambardella, L.M., Birattari, M., Martinoli, A., Poli, R., Stützle, T. (eds.) ANTS 2006. LNCS, vol. 4150, pp. 49–59. Springer, Heidelberg (2006)Google Scholar
  8. 8.
    Laxmi, V., Jain, L., Gaur, M.S.: Ant Colony Optimization based Routing on NS-2. In: The Proceedings of International Conference on Wireless Communication and Sensor Networks, WCSN 2006 (2006)Google Scholar
  9. 9.
    Huang, S.-C., Jan, R.-H.: Energy-aware, load balanced routing schemes for sensor networks. Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan(2004), ISSN: 1521-9097, Issue Date: July 7-9Google Scholar
  10. 10.
    Qiang Feng, J., Manivannan, D.: Routing protocols for sensor networks. In: First IEEE of Consumer Communications and Networking Conference, CCNC 2004 (2004)Google Scholar
  11. 11.
    Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy Efficient Communication Protocol for Wireless Microsensor Networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences (2000)Google Scholar
  12. 12.
    Godfrey, P., Naps, R.D.: Scalable, Robust topology management in wireless ad hoc networks. In: Proceedings of the Third International Symposium on Information Processing in Sensor Networks (2004)Google Scholar
  13. 13.
    Younis, O., Fahmy, S.: Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA, HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. Appears in IEEE Transactions on Mobile Computing 3(4) (2004) ISSN: 1536-1233 Issue Date: October-DecemberGoogle Scholar
  14. 14.
    Gunes, M., Sorges, U., Bouazizi, I.: ARA- the ant colony based routing algorithm for MANET. In: Proc. of the ICPP 2002 (2002)Google Scholar
  15. 15.
    Handy, M., Haase, M., Timmermann, D.: Low Energy Adaptive Clustering Hierarchy with Deterministic Cluster Head Selection. In: 4th IEEE International Conference on Mobile and Wireless Communication Networks, Stockholm (2002)Google Scholar
  16. 16.
    Slijepcevic, S., Potkonjak, M.: Power efficient organization of wireless sensor networks. In: IEEE International Conference on Communications, Helsinki, Finland (June 2001)Google Scholar
  17. 17.
    Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy Efficient Communication Protocol for Wireless Microsensor Networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences (2000)Google Scholar
  18. 18.
    Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks. In: Proceedings of the Sixth Annual International Conference on Mobile Computing and Networks, MobiCOM 2000 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Information TechnologyCalcutta Institute of Engineering and ManagementKolkataIndia
  2. 2.Department of Computer Science & EngineeringCalcutta Institute of Engineering and ManagementKolkataIndia

Personalised recommendations