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A review on energy efficient protocols in wireless sensor networks

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Abstract

In past decade, wireless sensor networks have gained attention by researchers, manufacturers as well as the users for remotely monitoring tasks and effective data gathering in diverse environment. The wireless sensor nodes are tiny battery powered devices having limited lifetime, hence for longevity and reliability, the foremost concern is minimizing energy consumption and maximizing network lifetime while designing protocols and applications. In this paper, we review the main design issues based on the model of wireless sensor networks: structure-free and structured for data collection and aggregation where role of clustering and routing is discussed for energy conservation and enhancing network lifetime. These design strategies are the foundation of any networking protocol from the energy saving point of view. A comprehensive tabular overview of different approaches under structure-free and structured wireless sensor networks for data collection and aggregation, clustering and routing is presented with key issues.

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References

  1. News of bridge collapse at Minnesota, USA. http://www.nytimes.com/2007/08/02/us/02bridge.html.

  2. News of fire break at forests of California. http://www.huffingtonpost.com/2013/06/30/arizona-wildfire-yarnell_n_3526934.html.

  3. 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 

  4. Tilak, S., Abhu-Gazhaleh, N., & Heinzelman, W. R. (2002). A taxanomy of wireless micro-sensor network models. ACM SIGMOBILE Mobile Computing Communication Review, 6(2), 28–36.

    Article  Google Scholar 

  5. Shen, C. C., Srisathapornphat, C., & Jaikaeo, C. (2001). Sensor information networking architecture and applications. IEEE Personal communications, 8(4), 52–59.

    Article  Google Scholar 

  6. Chong, C.-Y., & Kumar, S. P. (2003). Sensor networks: Evolution, opportunities, and challenges. Proceedings of the IEEE, 91(8), 1247–1256.

    Article  Google Scholar 

  7. Yick, J., Mukherjee, B., & Ghosal, D. (2008). Wireless sensor network survey. Elsevier Journal on Computer Networks, 52, 2292–2330.

    Article  Google Scholar 

  8. Halgamuge, M. N., Zukerman, M., Vu, H. L., & Ramamohanarao, K. (2009). An estimation of sensor energy consumption. Progress In Electromagnetics Research B, 12, 259–295.

    Article  Google Scholar 

  9. Ramesh, R., & Varshney, P. K. (2006). Data aggregation techniques in sensor networks: A survey. Electrical Engineering and Computer Science. Paper 22. http://surface.syr.edu/eecs/22.

  10. Fan, K. W., Liu, S., & Sinha, P. (2007). Structure-free data aggregation in sensor networks. IEEE Transactions on Mobile Computing, 6(8), 929–942.

    Article  Google Scholar 

  11. Kulik, J., Heinzelman, W. R., & Balakrishnan, H. (2002). Negotiation-based protocols for disseminating information in wireless sensor networks. Wireless Networks, 8, 169–185.

    Article  MATH  Google Scholar 

  12. Chao, C. M., Hsiao, T. Y. (2009). Design of structure-free and energy-balanced data aggregation in wireless sensor networks. In 11th IEEE international conference on high performance computing and communications, HPCC 2009 (pp. 222–229).

  13. Sardouk, A., Mansouri, M., Merghem-Boulahia, L., Gaiti, D., Rahim-Amoud, R. (2010) Multi-agent system based wireless sensor network for crisis management. In 2010 IEEE global telecommunications conference (GLOBECOM 2010) (pp. 1–6).

  14. Boughanmi, Najet, Esseghir, Moez, Merghem-Boulahia, L., & Khoukhi, L. (2013). Energy efficient aggregation in wireless sensor networks, ICD/ERA, UMR 6279, Troyes University of Technology, 12 rue Marie Curie, 10000 Troyes. Berlin: Springer.

    Google Scholar 

  15. Perkins, C., Belding-Royer, E., & Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing IETF RFC 3561.

  16. Xue, Y, Cui, Y., & Nahrstedt, K. (2005). Maximizing lifetime for data aggregation in wireless sensor networks. ACM/Kluwer mobile networks and applications (MONET) special issue on energy constraints and lifetime performance in wireless sensor networks (pp. 853–864).

  17. Tan, H. O., & Korpeoglu, I. (2003). Power efficient data gathering and aggregation in wireless sensor networks. Sigmod Record, 32(4), 66–71.

    Article  Google Scholar 

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

    Article  Google Scholar 

  19. Du, K., Wu, J.,& Zhou, D. (2003). Chain-based protocols for data broadcasting and gathering in sensor networks. International parallel and distributed processing symposium.

  20. Lindsey, S., Raghavendra, C., & Sivalingam, K. M. (2002). Data gathering algorithms in sensor networks using energy metrics. IEEE Transactions on Parallel and Distributed Systems, 13(9), 924–935.

    Article  Google Scholar 

  21. Ding, M., Cheng, X., & Xue, G. (2003). Aggregation tree construction in sensor networks. 2003 IEEE 58th vehicular technology conference (Vol. 4, no. 4, pp. 2168–2172).

  22. Vaidhyanathan, K., Sur, S., Narravula, S., & Sinha, P. (2004). Data aggregation techniques sensor networks. Technical report, OSU-CISRC-11/04-TR60, Ohio State University.

  23. Comeau, F., Sivakumar, S. C., Robertson,W., & Phillips,W. J. (2006) Energy conserving architectures and algorithms for wireless sensor networks. 39th hawaii international conference on system sciences (HICSS-39 2006).

  24. Tilak, S., Abu-Ghazaleh, N. B., & Heinzelman, W. (2002). A taxonomy of wireless micro-sensor network models. Mobile Computing Communications Review, 6(2), 28–36.

    Article  Google Scholar 

  25. Lee, J. S., & Cheng, W. L. (2012). Fuzzy-logic-based clustering approach for wireless sensor networks using energy predication. IEEE Sensors Journal, 11(9), 2891–2897.

    Article  Google Scholar 

  26. Attea, B. A., & Khalil, E. A. (2011). A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks. Applied Soft Computing, 12(7), 1950–1957.

    Article  Google Scholar 

  27. Fernandess, Y., & Malkhi, D. (2002). K-clustering in wireless ad-hoc networks. In Proceedings 2nd ACM workshop principles mobile computing conference (pp. 31–37).

  28. Youssef, M., Youssef, A., & Younis, M. (2009). Overlapping multi-hop clustering for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 20(12), 1844–1856.

    Article  Google Scholar 

  29. Jiang, C. J., Shi, W. R., Tang, X. L., Wang, P., & Xiang, M. (2012). Energy balanced unequal clustering routing protocol for wireless sensor networks. Journal of Software, 23(5), 1222–1232.

    Article  Google Scholar 

  30. Liao, Ying, Qi, Huan, & Li, Weiqun. (2013). Load-balanced clustering algorithm with distributed self-organization for wireless sensor networks. IEEE Sensors Journal, 13(5), 1498–1506.

    Article  Google Scholar 

  31. Chen, K. (2013). Unequal cluster-based routing protocol in wireless sensor networks. Journal of Networks, 8(11), 2656–2662.

    Google Scholar 

  32. Xie, Ruitao, & Jia, Xiaohua. (2014). Transmission-efficient clustering method for wireless sensor networks using compressive sensing. IEEE Transactions onParallel and Distributed Systems, 25(3), 806–815.

    Article  Google Scholar 

  33. Boukerche, A. (2009). Algorithms and protocols for wireless sensor networks. Mississauga: Wiley.

    Google Scholar 

  34. Dargie, W., & Poellabauer, C. (2010). Wireless sensor networks theory and practice (1st ed.). Wiley: Hoboken.

    Book  Google Scholar 

  35. Rahman, J., Hasan, M. A. M., Islam, M. K. B., (2012) Comparative analysis the performance of AODV, DSDV and DSR routing protocols in wireless sensor network. Electrical and computer engineering (ICECE), 2012 7th international conference on (pp. 283, 286).

  36. Royer, E. M., & Toh, C. K. (1999). A review of current routing protocols for ad hoc mobile wireless networks. IEEE Personal Communications, 6(2), 46–55.

    Article  Google Scholar 

  37. Intanagonwiwat, C., Govindan, R., & Estrin, D. (2000, August). Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proceedings of the 6th annual international conference on ACM Mobile computing 2000 (Boston, MA, pp. 56–67).

  38. Li, Q., Aslam, J., & Rus, D. (2001). Hierarchical power-aware routing in sensor networks. In Proceedings of the DIMACS workshop on pervasive networking.

  39. Manjeshwar, A., & Agarwal, D. P. (2001). TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. 1st international workshop on parallel and distributions of computing issues in wireless networks and mobile computing.

  40. Xu, Y., Heidemann, J., & Estrin, D. (2001). Geography-informed energy conservation for ad hoc routing. In Proceedings of the 7th annual international conference on Mobile computing and networking (pp. 70–84).

  41. Karp, B., & Kung, H. T. (2000). GPSR: Greedy perimeter stateless routing for wireless sensor networks. In Proceedings of mobile computing (Boston, MA).

  42. Felemban, E., Lee, C. G., & Ekici, E. (2006). MMSPEED: Multipath Multi-SPEED protocol for QoS guarantee of reliability and, timeliness in wireless sensor networks. IEEE Transactions onMobile Computing, 5(6), 738–754.

    Article  Google Scholar 

  43. Yao, Y., & Gehrke, J. (2002). The cougar approach to in-network query processing in sensor networks. Sept: SIGMOD Record.

    Google Scholar 

  44. He, T., Stankovic, J., Lu, C., & Abdelzaher, T. (2003). SPEED: A stateless protocol for real-time communication in sensor networks. In Proceedings of the23rd international conference on distributed computing systems, providence, RI.

  45. Sohrabi, K., & Pottie, J. (2000). Protocols for self-organization of a wireless sensor network. IEEE Personal Communications, 7(5), 16–27.

    Article  Google Scholar 

  46. Kumar, D. (2014). Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks. Wireless Sensor Systems, IET, 4(1), 9–16.

    Google Scholar 

  47. Ye, F., Chen, A., Lu, S., & Zhang, L. (2001). A scalable solution to minimum cost forwarding in large sensor networks. In Proceedings of the 10th international conference on computer communications and networks (pp. 304–309).

  48. Yu, Y., Estrin, D., & Govindan, R. (2001). Geographical and energy-aware routing: A recursive data dissemination protocol for wireless sensor networks, UCLA Computer Science Department technical report, UCLA-CSD TR-010023.

  49. Gautam, N., Lee, W. I., & Pyun, J. Y. (2009). Track-sector clustering for energy efficient routing in wireless sensor networks. In Proceedings of the 9th IEEE international conference on computer and information technology (pp. 116–121).

  50. Schurgers, C., & Srivastava, M. B. (2001). Energy efficient routing in wireless sensor networks. In Military communications conference, 2001. MILCOM 2001. Communications for network-centric operations: Creating the information. Force, McLean, VA.

  51. Shah, R. C., & Rabaey, J. (2002). Energy aware routing for low energy ad hoc sensor networks. IEEE WCNC, Orlando, FL (pp. 17–21).

  52. Petrioli, Chiara, Nati, Michele, Casari, Paolo, Zorzi, Michele, & Basagni, Stefano. (2014). ALBA-R: Load-balancing geographic routing around connectivity holes in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 25(3), 529–539.

    Article  Google Scholar 

  53. Yamuna Devi, C. R., Shivaraj, B., Manjula, S. H., Venugopal, K. R., Patnaik, L. M. (2014). EESOR: Energy efficient selective opportunistic routing in wireless sensor networks. Springer: Recent trends in computer networks and distributed systems security communications in computer and information science (vol. 420, pp. 16–31).

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Correspondence to Sarika Yadav.

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Yadav, S., Yadav, R.S. A review on energy efficient protocols in wireless sensor networks. Wireless Netw 22, 335–350 (2016). https://doi.org/10.1007/s11276-015-1025-x

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