Skip to main content

Advertisement

SpringerLink
Log in

Energy Efficient QoS Aware SOCCOR Protocol for Improving Throughput in Wireless Mesh Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In a wireless mesh network (WMN), the network link detached among dozens or thousands of wireless meshes that “talk” to each alternative node to distribute the network association over the big space. The numerous downsides in a WMN are the energy consumption and throughput improvement. Even though, many techniques to resolve the concern of power consumption and performance improvement, this type of techniques do not give higher efficiency. In our proposed methodology we introduce a protocol known as swarm optimization clustering and colony optimization routing (SOCCOR). It is the combined technique of energy consumption based improved swarm optimization (EISO) and colony optimization routing (COR). The EISO uses chaotic sequences for weight parameter to improve the global searching ability and escape from local minima. During this EISO clustering fitness is evaluated for multiple iterations and this process continues until getting the optimum value. During the routing process, security also improved with different sparse matrix encryption methodology. COR is mainly used to find out the shortest path among the overall transmission. During this strategy, pheromone values updated by all the ants have reached the destination with the continuous manner and achieve an optimum resolution. Finally, the simulation was carried on the platform of NS-2 simulation tool. SOCCOR protocol can give economic transmission by reducing the consumption of energy and enhancing throughput.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Akyildiz, Ian F., & Wang, X. (2005). A survey on wireless meshes networks. IEEE Communications Magazine, 4(9), S23–S30.

    Article  Google Scholar 

  2. Han, B., Jia, W., & Lin, L. (2007). Performance evaluation of scheduling in IEEE 802.16 based wireless mesh networks. IEEE Computer Communications, 30(4), 782–792.

    Article  Google Scholar 

  3. Huan, X., Wang, B., Mo, Y., & Laurence, T. Y. (2015). Rechargeable router placement based on efficiency and fairness in green wireless mesh networks. IEEE Computer Networks, 78, 83–94.

    Article  Google Scholar 

  4. Roy, S., Koutsonikolas, D., Das, S., & Hu, Y. C. (2008). High-throughput multicast routing metrics in wireless mesh networks ad hoc networks. Elsevier Ad hoc Networks, 6(6), 878–899.

    Article  Google Scholar 

  5. Yuan, J., Li, Z., Yu, W., & Li, B. (2006). A cross-layer optimization framework for multihop multicast in wireless mesh networks. IEEE Selected Areas in Communications, 24(11), 2092–2103.

    Article  Google Scholar 

  6. Bejerano, Y., Han, S. J., & Kumar, A. (2007). Efficient load-balancing routing for wireless mesh networks. Computer Networks, 51(10), 2450–2466.

    Article  MATH  Google Scholar 

  7. Goussevskaia, O., Wattenhofer, R., Halldórsson, M. M. & Welzl, E. (2009). Capacity of arbitrary wireless networks, IEEE conference (pp. 1872–1880).

  8. Zhu N., & Vasilakos A. V. (2016). EM rise: An energy management platform for WSNs/WBANs, In energy management in wireless cellular and ad hoc networks (vol. 50, pp. 367–395). Springer.

  9. Lee, D., & Cheng, C. C. (2016). Energy savings by energy management systems: A review. Renewable and Sustainable Energy Reviews, 56, 760–777.

    Article  Google Scholar 

  10. Fu, L., Cao, Z. & Fan, P. (2005). Spatial reuse in IEEE 802.16 based wireless mesh networks. In communications and Information Technology (pp. 1358–1361). IEEE.

  11. Shi, Y., Hou, Y. T., Kompella, S., & Sherali, H. D. (2011). Maximizing capacity in multi-hop cognitive radio networks under the SINR model. IEEE Mobile Computing, 10(7), 954–967.

    Article  Google Scholar 

  12. Cui, S., Goldsmith, A. J., & Bahai, A. (2005). Energy-constrained modulation optimization. IEEE Transactions on Wireless Communications, 4(5), 2349–2360.

    Article  Google Scholar 

  13. Bazaraa, M. S., Jarvis, J. J., & Sherali, H. D. (2010). Linear programming and network flows (4th ed.). Hoboken: Wiley.

    MATH  Google Scholar 

  14. Chen, L., Low S. H., Chiang, M., & Doyle, J. C. (2006). Cross-layer congestion control, routing and scheduling design in ad hoc wireless networks. In IEEE conference (pp. 1–13).

  15. Miao, G. W., Himayat, N., & Li, G. Y. (2010). Energy-efficient link adaptation in frequency selective channels. IEEE Transactions on Communications, 58(12), 545–554.

    Article  Google Scholar 

  16. Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for adhoc sensor networks. IEEE Transaction on Mobile Computing, 3(4), 366–379.

    Article  Google Scholar 

  17. Benyamina, D., Hafid, A., & Gendreau, M. (2012). Wireless mesh networks design. IEEE Communication Magazines, 14(2), 299–310.

    Google Scholar 

  18. Jahanshahi, M., & Barmi, A. T. (2015). Multicast routing protocols in wireless mesh networks. Springer, 96(11), 1029–1057.

    MathSciNet  MATH  Google Scholar 

  19. Alotaibi, E., & Mukherjee, B. (2012). A survey on routing algorithms for wireless ad-hoc and mesh networks. Computer Networks, 256(2), 940–965.

    Article  Google Scholar 

  20. Rao, A. N., & Rao, C. D. (2015). Way-point multicast routing framework for improving QoS in hybrid wireless mesh networks. Wireless Networks, 22(8), 1–4.

    Google Scholar 

  21. Hu, Y. F., Ding, Y. S., Ren, L. H., Hao, K. R., & Han, H. (2015). An endocrine cooperative energy consumption based on improved swarm optimization algorithm for routing recovery problem of wireless sensor networks with multiple mobile sinks. Information Sciences, 300, 100–113.

    Article  Google Scholar 

  22. Sakamoto, S., Oda, T., Ikeda, M., & Barolli, L. (2016). Design and implementation of a simulation system based on Energy consumption based on Improved Swarm Optimization for node placement problem in wireless mesh networks. IEEE intelligent networking and collaborative systems (INCOS) (pp. 164–168).

  23. Liao, W. H., Kuai, S. C., & Lin, M. S. (2015). An energy-efficient sensor deployment scheme for wireless sensor networks using colony optimization routing algorithm. Wireless Personal Communications, 82(4), 2135–2153.

    Article  Google Scholar 

  24. Avallone, Stefano, & Banchs, A. (2016). A channel assignment and routing algorithm for energy harvesting multi-radio wireless mesh networks. IEEE Journal on Selected Areas in Communication, 34(5), 1463–1476.

    Article  Google Scholar 

  25. Murugeswari, R., Radhakrishnan, S., & Devaraj, D. (2016). A multi-objective evolutionary algorithm based QoS routing in wireless mesh networks. Applied Soft Computing, 40, 517–525.

    Article  Google Scholar 

  26. Annappa, P. H., Udaya Kumar, K. Shenoy, & Shiva Prakash, S. P. (2016). An approach to detect intruder in energy-aware routing for wireless mesh networks. In Proceedings of the second international conference on computer and communication technologies (pp. 821–830). Springer.

  27. Chen, W., Guan, Q., Jiang, S., Guan, Q., & Huang, T. (2016). Joint QoS provisioning and congestion control for multi-hop wireless networks (pp. 1–11). Journal on Wireless Communications and Networking: Springer.

    Google Scholar 

  28. Narayan, D. G., Amboji, J., Umadevi, T., & Mudenagudi, U. (2016). Multi-metric routing protocol for multi-radio wireless mesh networks. Networking and Informatics, 44, 631–641.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, Tamilnadu, India

    M. A. Archana

  2. Department of Information Technology, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, Tamilnadu, India

    C. Parthasarathy

Authors
  1. M. A. Archana
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. C. Parthasarathy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. A. Archana.

Ethics declarations

Conflict of interest

Authors Archana M.A. and Parthasarathy C states that there are no conflicts of interest.

Human and Animal Rights

This research article does not contain any studies with human or animal subjects.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Archana, M.A., Parthasarathy, C. Energy Efficient QoS Aware SOCCOR Protocol for Improving Throughput in Wireless Mesh Networks. Wireless Pers Commun 101, 583–600 (2018). https://doi.org/10.1007/s11277-018-5705-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5705-6

Keywords

Search

Navigation