Skip to main content

An Energy Efficient Clustered Routing Protocols for Wireless Sensor Networks

  • Chapter
  • First Online:
Book cover Recent Trends and Advances in Artificial Intelligence and Internet of Things

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 172))

Abstract

Wireless sensor network (WSN) is a cost-effective networking solution for information updating in the coverage radius or in the sensing region. To record a real time event, large number of sensor nodes (SNs) need to be arranged systematically, such that information collection is possible for longer span of time. But, the hurdle faced by WSN is the limited resources of SNs. Hence, there is high demand to design and implement an energy efficient scheme to prolong the operational lifetime of WSN. Clustering based routing is the most suitable approach to support for load balancing, fault tolerance, and reliable communication to prolong performance parameters of WSN. These performance parameters are achieved at the cost of reduced lifetime of cluster head (CH). Inappropriate CH election may lead to more energy dissipation, overburden the CHs and thus degrades the network lifetime. So, there should be an appropriate selection of CHs using efficient routing algorithms to prolong the lifespan of network. To overcome this problem, many researchers make use of optimization algorithms for decision making of CH selection in WSN. This paper illustrates a survey of clustering hierarchical routing protocols along with clustering protocols based on optimization algorithms with possible future directions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Karl, H., Willig, A.: Protocols and Architectures for Wireless Sensor Networks. Wiley Ltd., London (2005)

    Book  Google Scholar 

  2. Pantazis, N.A., Nikolidakis, S.A., Vergados, D.D.: Energy-efficient routing protocols in wireless sensor networks: a Survey. IEEE Commun. Surv. Tutorials 15(2), 551–591 (2013)

    Article  Google Scholar 

  3. Guo, W., Zhang, W.: A survey on intelligent routing protocols in wireless sensor networks. J. Netw. Comput. Appl. 38, 185–201 (2014)

    Article  Google Scholar 

  4. Zin, SMd, Anuar, N.B., Kiah, L.M., Pathan, A.K.: Routing protocol design for secure WSN: review and open research issues. J. Netw. Comput. Appl. 41, 517–530 (2014)

    Article  Google Scholar 

  5. Akyildiz, I., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Comput. Netw. 38(4), 393–422 (2002)

    Article  Google Scholar 

  6. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)

    Article  Google Scholar 

  7. Intanagonwiwat, C., Govindan, R., Estrin, D.: Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: Proceedings of the 6th Annual International Conference on Mobile Computing and Networking. Boston, Massachusetts, pp. 56–67 (2000)

    Google Scholar 

  8. Sadagopan, N., Krishnamachari, B., Helmy, A.: Active query forwarding in sensor networks (ACQUIRE). Ad Hoc Netw. 3(1), 91–113 (2005)

    Article  Google Scholar 

  9. Kulik, J., Heinzelman, W.R., Balakrishnan, H.: Adaptive protocols for information dissemination in wireless sensor networks. In: Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, Massachusetts Institute of Technology, USA, Washington, pp. 174–185 (1999)

    Google Scholar 

  10. Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences, HI, USA, vol. 8, p. 110 (2000)

    Google Scholar 

  11. Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1(4), 60–70 (2002)

    Article  Google Scholar 

  12. Lindsey, S., Raghavendra, C.: PEGASIS: power-efficient gathering in sensor information systems. In: Proceedings of the IEEE Aerospace Conference, USA, Montana, vol. 3, pp. 1125–1130 (2002)

    Google Scholar 

  13. Manjeshwar, A., Agrawal, D.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of the 15th International Parallel and Distributed Processing Symposium (IPDPS’01) Workshops, USA, California, pp. 2009–2015 (2001)

    Google Scholar 

  14. Manjeshwar, A., Agrawal, D.: APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In: Proceedings of the International Parallel and Distributed Processing Symposium, Florida, pp. 195–202 (2002)

    Google Scholar 

  15. Basagni, S., Chlamtac, I., Syrotiuk, V., Woodward, B.: A distance routing effect algorithm for mobility (DREAM). In: Proceedings of the 4th Annual ACM/IEEE International Conference on Mobile Computing and Networking, USA, Texas, pp. 67–84 (1998)

    Google Scholar 

  16. Yu, Y., Govindan, R., Estrin, D.: Geographical and Energy Aware Routing: A Recursive Data Dissemination Protocol for Wireless Sensor Networks. UCLA Computer Science Department Technical Report, pp. 1–11 (2001)

    Google Scholar 

  17. Blum, B., He, T., Son, S., Stankovic, J.: IGF: A State-Free Robust Communication Protocol for Wireless Sensor Networks. Technical Report CS-2003-11, Department of Computer Science, University of Virginia, USA (2003)

    Google Scholar 

  18. Chen, D., Varshney, P.: On-demand geographic forwarding for data delivery in wireless sensor networks. Comput. Commun. 30(14–15), 29542967 (2007)

    Google Scholar 

  19. Chen, M., Leung, V., Mao, S., Xiao, Y., Chlamtac, I.: Hybrid geographical routing for flexible energy-delay trade-offs. IEEE Trans. Veh. Technol. 58(9), 4976–4988 (2009)

    Article  Google Scholar 

  20. Sohrabi, K., Gao, J., Ailawadhi, V., Pottie, G.: Protocols for self-organization of a wireless sensor network. IEEE Pers. Commun. 7(5), 16–27 (1999)

    Article  Google Scholar 

  21. He, T., Stankovic, J., Lu, C., Abdelzaher, T.: SPEED: A stateless protocol for real-time communication in sensor networks, In Proc. 23rd International Conference on Distributed Computing Systems, Torodo, pp. 46–55 (2003)

    Google Scholar 

  22. Felemban, E., Lee, C., Ekici, E.: MMSPEED: Multipath multi-SPEED protocol for QoS guarantee of reliability and timeliness in wireless sensor networks. IEEE Trans. Mobile Comput. 5(6), 738–754 (2006)

    Article  Google Scholar 

  23. Chen, M., Guizani, M., Jo, M.: Mobile multimedia sensor networks: architecture and routing. In: Proceedings of the Mobility Management in the Networks of the Future World, Shanghai, pp. 409–412 (2011)

    Google Scholar 

  24. Akyildiz, I.F., Vuran, M.C.: Wireless Sensor Networks. Wiley Ltd, London (2010)

    Book  Google Scholar 

  25. Hu, F., Cao, X.: Wireless Sensor Networks: Principles and Practice. CRC Press, Boca Raton (2010)

    Book  Google Scholar 

  26. Xiangning, F., Yulin, S.: Improvement on LEACH protocol of wireless sensor network. In: International Conference on Sensor Technologies and Applications (Sensor Comm 2007), Valencia, Spain, vol. 4, pp. 260, 14–20 Oct 2007

    Google Scholar 

  27. Lindsey, S., Raghavendra, C.S., Sivalingam, K.M.: Data gathering algorithms in sensor networks using energy metrics. IEEE Trans. Parallel Distrib. Syst. 13(9), 924–935 (2002)

    Article  Google Scholar 

  28. Younis, O., Fahmy, S.: HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3(4), 366–379 (2004)

    Article  Google Scholar 

  29. Chand, S., Singh, S., Kumar, B.: Heterogeneous HEED protocol for wireless sensor networks. Wirel. Pers. Commun. 77, 2117–2139 (2014)

    Article  Google Scholar 

  30. Smaragdakis, G., Matta, I., Bestavros, A.: SEP: a stable election protocol for clustered heterogeneous wireless sensor networks. In: International Workshop on SANPA (2004)

    Google Scholar 

  31. Aderohunmu, F.A., Deng, J.D.: An Enhanced Stable Election Protocol (E-SEP) for Clustered Heterogeneous WSN. Department of Information Science, University of Otago, Dunedin 9054, New Zealand

    Google Scholar 

  32. Kashaf, A., Javaid, N., Khan, Z.A., Khan, I.A.: TSEP: threshold-sensitive stable election protocol for WSNs. In: 10th International Conference on Frontiers of Information Technology (FIT), vol. 164, no. 168, pp. 17–19 (2012)

    Google Scholar 

  33. Kumar, S., Verma, S.K., Kumar, A.: Enhanced threshold sensitive stable election protocol for heterogeneous wireless sensor network. Wirel. Pers. Commun. 85, 2643–2656 (2015)

    Article  Google Scholar 

  34. Qing, L., Zhu, Q., Wang, M.: Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor network. Comput. Commun. 29, 2230–2237 (2006)

    Article  Google Scholar 

  35. Rathee, A., Kashyap, I., Choudhary, K.: Developed distributed energy-efficient clustering (DDEEC) algorithm based on fuzzy logic approach for optimizing energy management in heterogeneous WSNs. Int. J. Comput. Appl. 115(17), 14–19 (2015)

    Google Scholar 

  36. Javaid, N., Qureshi, T.N., Khan, A.H., Iqbal, A., Akhtar, E., Ishfaq, M.: EDDEEC: enhanced developed distributed energy-efficient clustering for heterogeneous wireless sensor networks. Procedia Comput. Sci. 19, 914–919 (2013)

    Article  Google Scholar 

  37. Kang, S.H., Nguyen, T.: Distance based thresholds for cluster head selection in wireless sensor networks. IEEE Commun. Lett. 16(9), 1396–1399 (2012)

    Article  Google Scholar 

  38. Mehdi, G., Nia, F.K., Mehdi, H., Yones, V.: The novel energy adaptive protocol for heterogeneous wireless sensor networks. In: 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT), pp. 178–182 (2010)

    Google Scholar 

  39. Loscri, V., Morabito, G., Marano, S.: A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH). In: 2nd IEEE Semiannual Vehicular Technology Conference, vol. 25, no. 28, pp. 1809–1813 (2005)

    Google Scholar 

  40. Ye, M., Li, C., Chen, G., Wu, J.: EECS: an energy efficient clustering scheme in wireless sensor networks. In: 24th IEEE International Performance, Computing, and Communications Conference (IPCCC), USA, vol. 7, no. 9, pp. 535–540 (2005)

    Google Scholar 

  41. Li, C., Ye, M., Chen, G., Wu, J.: An energy-efficient unequal clustering mechanism for wireless sensor networks. In: 2nd IEEE International Conference on Mobile Ad-hoc and Sensor Systems Conference (MASS), vol. 7, no. 10, pp. 596–604 (2005)

    Google Scholar 

  42. Kumar, D.: Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks. IET Wirel. Sens. Syst. 4(1), 9–16 (2014)

    Google Scholar 

  43. Tarhani, M., Kavian, Y.S., Siavoshi, S.: SEECH: Scalable energy efficient clustering hierarchy protocol in wireless sensor networks. IEEE Sens. J. 14(11), 3944–3954 (2014)

    Article  Google Scholar 

  44. Mittal, N., Singh, U.: Distance-based residual energy-efficient stable election protocol for WSNs. Arab. J. Sci. Eng. 40(6), 1637–1646 (2015). https://doi.org/10.1007/s13369-015-1641-x

    Article  Google Scholar 

  45. Mittal, N., Singh, U., Sohi, B.S.: A stable energy efficient clustering protocol for wireless sensor networks. Wirel. Netw. 23(6), 1809–1821 (2017). https://doi.org/10.1007/s11276-016-1255-6

    Article  Google Scholar 

  46. Hussain, S., Matin, A.W., Islam, O.: Genetic algorithm for hierarchical wireless sensor networks. J. Netw. 2, 87–97 (2007)

    Google Scholar 

  47. Attea, B.A., Khalil, E.A.: A new evolutionary based routing protocol for clustered heterogeneous wireless sensor networks. Appl. Soft Comput. 12, 1950–1957 (2012)

    Article  Google Scholar 

  48. Khalil, E.A., Attea, B.A.: Energy-aware evolutionary routing protocol for dynamic clustering of wireless sensor networks. Swarm Evol. Comput. 1(4), 195–203 (2011)

    Article  Google Scholar 

  49. Khalil, E.A., Attea, B.A.: Stable-aware evolutionary routing protocol for wireless sensor networks. Wirel. Pers. Commun. 69(4), 1799–1817 (2013)

    Article  Google Scholar 

  50. Mittal, N., Singh, U., Sohi, B.S.: A novel energy efficient stable clustering approach for wireless sensor networks. Wirel. Pers. Commun. 95, 2947–2971 (2017)

    Article  Google Scholar 

  51. Mittal, N., Singh, U., Sohi, B.S.: Harmony search algorithm based threshold-sensitive energy-efficient clustering protocols For WSNs”. Ad Hoc Sens. Wirel. Netw. 36, 149–174 (2017)

    Google Scholar 

  52. Mittal, N., Singh, U., Sohi, B.S.: A boolean spider monkey optimization based energy efficient clustering approach For WSNs. Wirel. Netw. 24(6), 2093–2109 (2018)

    Article  Google Scholar 

  53. Mittal, N., Singh, U., Sohi, B.S.: An energy aware cluster-based stable protocol for wireless sensor networks. In: Neural Computing and Applications (NCAA), pp. 1–18 (2018)

    Google Scholar 

  54. Kuila, P., Gupta, S.K., Jana, P.K.: A novel evolutionary approach for load balanced clustering problem for wireless sensor networks. Swarm Evol. Comput. 12, 48–56 (2013)

    Article  Google Scholar 

  55. Kuila, P., Jana, P.K.: A novel differential evolution based clustering algorithm for wireless sensor networks. Appl. Soft Comput. 25, 414–425 (2014)

    Article  Google Scholar 

  56. Shokouhifar, M., Jalali, A.: A new evolutionary based application specific routing protocol for clustered wireless sensor networks. Int. J. Electron. Commun. 69, 432–441 (2015)

    Article  Google Scholar 

  57. Hoang, D.C., Yadav, P., Kumar, R., Panda, S.K.: Real-time implementation of a harmony search algorithm-based clustering protocol for energy-efficient wireless sensor networks. IEEE Trans. Ind. Inf. 10(1), 774–783 (2014)

    Article  Google Scholar 

  58. Kumar, N., Tyagi, S., Deng, D.: LA-EEHSC: Learning automata-based energy efficient heterogeneous selective clustering for wireless sensor networks. J. Netw. Comput. Appl. 46, 264–279 (2014)

    Article  Google Scholar 

  59. Sert, S.A., Bagci, H., Yazici, A.: MOFCA: multi-objective fuzzy clustering algorithm for wireless sensor networks. Appl. Soft Comput. 30, 151–165 (2015)

    Article  Google Scholar 

  60. Tomar, G.S., Sharma, T., Kumar, B.: Fuzzy based ant colony optimization approach for wireless sensor network. Wirel. Pers. Commun. 84, 361–375 (2015)

    Article  Google Scholar 

  61. Tamandani, Y.K., Bokhari, M.U.: SEPFL routing protocol based on fuzzy logic control to extend the lifetime and throughput of the wireless sensor network. Wirel. Netw. 22(2), 647–653 (2015)

    Article  Google Scholar 

  62. Zahedi, Z.M., Akbari, R., Shokouhifar, M., Safaei, F., Jalali, A.: Swarm intelligence based fuzzy routing protocol for clustered wireless sensor networks. Expert Syst. Appl. 55, 313–328 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rajshree Srivastava .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Mittal, N., Srivastava, R. (2020). An Energy Efficient Clustered Routing Protocols for Wireless Sensor Networks. In: Balas, V., Kumar, R., Srivastava, R. (eds) Recent Trends and Advances in Artificial Intelligence and Internet of Things. Intelligent Systems Reference Library, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-030-32644-9_38

Download citation

Publish with us

Policies and ethics