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Cost-Efficient Routing Protocol (CERP) on Wireless Sensor Networks

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Abstract

Multiple sensor nodes are deployed in some areas to sense an event and subsequently transmit sensed information to a remote processing unit or base station. Sensor networks have been the recent focus of research. Tiny sensor nodes, which consist of sensing, data processing, and communicating components, leverage the idea of sensor networks based on collaborative effort of a large number of nodes. These numerous sensors are used (similar to different sensory organs in human beings) for delivering crucial information in real-time from environments and processes, where data collection is impossible previously with wired sensors. In addition, wireless sensor nodes are deployed and used for military or surveillance. The one of most concern is a limited battery power. Once sensor nodes are deployed on hazard or chemical toxic areas, it is difficult to maintain or replace a battery. If Wireless sensor networks (WSNs) have a harvest function to generate energy from its environment, then they can keep working sensing and communicating with other sensors for a while. However, the cost may be high if they are a huge number of harvested sensors. Therefore, if sensors do not have a harvesting function, then minimum energy consumption routing algorithm must be used to keep them alive in order to communication with each other. We proposed a cost-efficient routing protocol on WSNs. Our proposed model will be able to contribute the development of Ubiquitous computing environment.

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References

  1. Römer, K., & Mattern, F. (2004). The design space of wireless sensor networks. IEEE Wireless Communications, 11(6), 54–61.

    Article  Google Scholar 

  2. Busse, M., Haenselmann, T., & Effelsberg, W. (2006). Energy-efficient forwarding schemes for wireless sensor networks. International Symposium on WoWMoM 2006 (p. 133).

  3. Hadim, S., & Mohamed, N. (2006). Middleware challenges and approaches for wireless sensor networks. IEEE Distributed Systems Online, 7(3), 1.

    Article  Google Scholar 

  4. Asada, G., Dong, M. T., Lin, S. F., Newberg, G., & Pottie, W. (1998). Wireless integrated network sensors: Low power systems on a chip. In Proceedings of the 1998 European solid state circuits conference.

  5. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40(8), 102–114.

    Article  Google Scholar 

  6. Shen, C., Srisathapornphat, C., & Jaikaeo, C. (2001). Sensor information networking architecture and applications. IEEE Personal communications, 8, 52–59.

    Article  Google Scholar 

  7. Hoblos, G., Staroswiecki, M., & Aitouche, A. (2000). Optimal design of fault tolerant sensor networks. In IEEE international conference on control applications (pp. 467–72).

  8. Rabaey, J. M. (2000). Picoradio supports ad hoc ultra-low power wireless networking. IEEE Computer Magazine, 33, 42–48.

    Article  Google Scholar 

  9. Intanagonwiwat, C., Govindan, R., & Estrin, D. (2000). Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proceedings of ACM MobiCom (56–67).

  10. Pottie, G. J., & Kaiser, W. J. (2000). Wireless integrated network sensors. Communication of ACM, 43(5), 51–58.

    Article  Google Scholar 

  11. Walke, B. (2002). Mobile Radio Networks. Networking, Protocols and Traffic Performance. New York, USA: Wiley.

  12. Sen, J., & Ukil, A. (2009). An adaptable and QoS-aware routing protocol for wireless sensor networks. In Wireless communication, vehicular technology, information theory and aerospace & electronic systems (pp. 767–771).

  13. Kahn, J. M., Katz, R. H., & Pister, K. S. J. (1999). Next century challenges: Mobile networking for smart dust. In Proceedings of ACM MobiCom ’99 (pp. 271–278).

  14. Karapinar, Z., Senturk, A., Zavrak, S., Kara, R., & Erdogmus, P. (2012). Binary apple tree: A game approach to tree traversal algorithms. In Information technology based higher education and training (ITHET) (pp. 1–3).

  15. Sohraby, K., Minoli, D., & Znati, T. (2007). Wireless Sensor Networks: Technology, Protocols, and Applications (pp. 203–209). New York, USA: Wiley.

  16. Shih, E. (2001). Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In Proceedings of ACM MobiCom ’01 (pp. 272–286).

  17. Woo, A., & Culler, D. (2001). A transmission control scheme for media access in sensor networks. In Proceedings of ACM MobiCom ’01 (pp. 221–235).

  18. Tarannum, S., Aravinda, B., Nalini, L., Venugopal, K. R., & Patnaik, L. M. (2006). Routing protocol for lifetime maximization of wireless sensor networks. In Advanced computing and communications (pp. 401–406).

  19. Woo, A., & Culler, D. (2001). A transmission control scheme for media access in sensor networks. In Proceedings of the seventh annual international conference on mobile computing and networking.

  20. Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Networking, 1(4), 660–670.

    Article  Google Scholar 

  21. Heinzelman, W., Chandrakasan, A., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–670.

    Article  Google Scholar 

  22. Ran, G., Zhang, H., & Gong, S. (2010). Improving on LEACH protocol of wireless sensor networks using fuzzy logic. Journal of Information and Computational Science, 7(3), 767–775.

    Google Scholar 

  23. Satapathy, S. S., & Sarma, N. (2006). TREEPSI: Tree based energy efficient protocol for sensor information. In Wireless and optical communications networks (pp. 4–10).

  24. Shih, E., Cho, S.-H., Ickes, N., Min, R. A. Sinha, A., Wang, A., & Chandrakasan, A. (2001). Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In Proceedings of the seventh annual international conference on mobile computing and networking (pp. 272–286).

  25. Chlamtac, I., & Farago, A. (1994). Making transmission schedules immune to topology changes in multi-hop packet radio networks. IEEE/ACM Transactions on Networking, 2(1), 23–29.

    Article  Google Scholar 

  26. Chlamtac, I., Farago, A., & Zhang, H. (1997). Time-spread multiple-access (TSMA) protocols for multihop mobile radio networks. IEEE/ACM Transactions on Networking, 5(6), 804–812.

    Article  Google Scholar 

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Authors and Affiliations

  1. Division of Information and Communication, Baekseok University, 76 Munam-ro, Dongnam-Gu, Cheonan, Chungnam,  330-704, Republic of Korea

    Sunghyuck Hong & Kun-Hee Han

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  1. Sunghyuck Hong
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  2. Kun-Hee Han
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Correspondence to Sunghyuck Hong.

Additional information

This research is supported by 2014 Baekseok University research fund.

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Hong, S., Han, KH. Cost-Efficient Routing Protocol (CERP) on Wireless Sensor Networks. Wireless Pers Commun 79, 2517–2530 (2014). https://doi.org/10.1007/s11277-014-1883-z

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  • DOI: https://doi.org/10.1007/s11277-014-1883-z

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